北京化工大学贺彦林个人主页-教授-信息科学与技术学院

论文信息

[+][-]代表性论文

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2030年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2029年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2028年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2027年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2026年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2025年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2024年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-] 2023年

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

[+][-]2023年之前

1. DOI 贺彦林,李星原,Ma Jia-Hui,朱群雄,Lu Shan
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing[期刊论文]，Engineering applications of artificial intelligence，2023-03-15
2. DOI Xu, Yuan;Jiang, Xue;Ke, Wei;Zhu, Qunxiong;He, Yanlin;Zhang, Yang;Wang, Zixu
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis[期刊论文]，Process Safety and Environmental Protection，2023-03-01
3. DOI Zhang, Ning;Tian, Ye;Wang, Xin-Wei;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2023-01-01
4. DOI 贺彦林,陈磊,徐圆,朱群雄,Lu Shan
A New Distributed Echo State Network Integrated with an Auto-encoder for Dynamic Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-12-12
5. DOI 朱群雄,王鑫伟,张宁,徐圆,贺彦林
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-11-25
6. DOI Zhu, Qun-Xiong;Wang, Xin-Wei;Li, Kun;Xu, Yuan;He, Yan-Lin
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[期刊论文]，Journal of Process Control，2022-10-01
7. DOI He, Yan-Lin;Chen, Lei;Gao, Yanlu;Ma, Jia-Hui;Xu, Yuan;Zhu, Qun-Xiong
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[期刊论文]，ISA Transactions，2022-08-08
8. DOI 朱群雄;田业;顾祥柏;贺彦林;徐圆
基于残差补偿的特征空间插值虚拟样本生成方法[会议论文]，第33届中国过程控制会议论文集，2022-07-29
9. DOI 朱群雄;张宁;顾祥柏;徐圆;贺彦林
基于改进聚类的SMOTE方法及其在不平衡故障诊断中的应用[会议论文]，第33届中国过程控制会议论文集，2022-07-29
10. DOI He, Yan-Lin;Hua, Qiang;Zhu, Qun-Xiong;Lu, Shan
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data[期刊论文]，ISA Transactions，2022-07-01
11. DOI He, Yan-Lin;Li, Xing-Yuan;Ma, Jia-Hui;Lu, Shan;Zhu, Qun-Xiong
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing[期刊论文]，Journal of Process Control，2022-05-01
12. DOI He, Yan-Lin;Zhao, Wen-Jun;Xu, Yuan;Zhu, Qun-Xiong
Research and Improvement of K2 Algorithm Based on Topological Sorting[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
13. DOI He, Yan-Lin;Pan, Yan-Ming;Xu, Yuan;Zhu, Qun-Xiong
Soft sensor development using novel multiactivation functions based ensemble echo state network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2022-03-14
14. DOI 姜雪,徐圆,Wei Ke,张洋,朱群雄,贺彦林
An Imbalanced Multi-Fault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-02-09
15. DOI Xu, Yuan;Wang, Zixu;Ke, Wei;He, Yan-Lin;Zhu, Qun-Xiong;Zhang, Yang
A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
16. DOI Zhu, Qun-Xiong;Song, Xiao-Lu;Zhang, Ning;Tian, Ye;Xu, Yuan;He, Yan-Lin
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor[会议论文]，IFAC-PapersOnLine，2022-01-01
17. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis[期刊论文]，IEEE Transactions on Industrial Informatics，2022-01-01
18. DOI Zhu, Qunxiong;Wang, Xinwei;Zhang, Ning;Xu, Yuan;He, Yanlin
Industrial Imbalanced Fault Diagnosis Method Based on Borderline SMOTE Integrated with NPE and CatBoost[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
19. DOI Zhu, QunXiong;Zhang, Ning;He, YanLin;Xu, Yuan
Novel ARMF Integrated with Improved LSDA and Its Application in Fault Diagnosis[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
20. DOI Xu, Yuan;Cheng, Xiaoqian;Ke, Wei;Zhu, Qun-Xiong;He, Yan-Lin;Zhang, Yang
SMOTE-Based Fault Diagnosis Method for Unbalanced Samples[会议论文]，Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022，2022-01-01
21. DOI Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2022-01-01
22. DOI Zhu, Qun-Xiong;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process[会议论文]，2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022，2022-01-01
23. DOI Zhu, Qun-Xiong;Zhang, Hong-Tao;Tian, Ye;Zhang, Ning;Xu, Yuan;He, Yan-Lin
Co-training based virtual sample generation for solving the small sample size problem in process industry[期刊论文]，ISA Transactions，2022-01-01
24. DOI Zhang, Ning;Xu, Yuan;Zhu, Qun-Xiong;He, Yan-Lin
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes[期刊论文]，IEEE TRANSACTIONS ON RELIABILITY，2022-01-01
25. DOI Jiang, Xue;Xu, Yuan;Ke, Wei;Zhang, Yang;Zhu, Qun-Xiong;He, Yan-Lin
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost[期刊论文]，IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT，2022-01-01
26. DOI Zhu, Qun-Xiong;Xu, Tian-Xiang;Xu, Yuan;He, Yan-Lin
Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data[期刊论文]，Industrial and Engineering Chemistry Research，2022-01-01
27. DOI 朱群雄,徐天翔,徐圆,贺彦林
Improved virtual sample generation method using enhanced conditional generative adversarial networks with cycle structure for soft sensor with limited data[期刊论文]，Industrial & Engineering Chemistry Research，2022-01-01
28. DOI Xu, Yuan;Ye, Chengshu;He, Yan-Lin;Zhu, Qun-Xiong;Jiang, Han;Zhang, Yang
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap[会议论文]，IMCEC 2022 - IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference，2022-01-01
29. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Gao, Zi-Shu;Xu, Yuan;He, Yan-Lin
Novel virtual sample generation using conditional GAN for developing soft sensor with small data[期刊论文]，ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE，2021-11-01
30. DOI 徐圆,殷建龙,贺彦林,朱群雄
A combined prediction model based on double echo state network with improved immune genetic algorithm[会议论文]，The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics，2021-10-31
31. DOI 贺彦林,李琨,张宁,徐圆,朱群雄
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated with Sparse Autoencoder[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-26
32. DOI 田业,徐圆,朱群雄,贺彦林
Novel virtual sample generation using target-relevant autoencoder for small data based soft sensor[期刊论文]，IEEE Transactions on Instrumentation and Measurement，2021-10-22
33. DOI Zhu, Qun-Xiong;Liu, De-Ping;Xu, Yuan;He, Yan-Lin
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2021-10-15
34. DOI Cao, Jian;He, Yanlin;Zhu, Qunxiong
Solutions selection based on the P-graph integrated data envelopment analysis for material scheduling in the ethylene production[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-10-01
35. DOI 贺彦林,李琨,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis[期刊论文]，IEEE transactions on reliability，2021-09-21
36. DOI 朱群雄,刘德平,徐圆,贺彦林
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2021-09-10
37. DOI Xu, Yuan;Cong, Kaiduo;Zhu, Qunxiong;He, Yanlin
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[期刊论文]，JOURNAL OF PROCESS CONTROL，2021-08-01
38. DOI 朱群雄;张宁;顾祥柏;贺彦林;徐圆
基于SMOTE-LPP的样本类别不平衡的故障诊断方法[会议论文]，第32届中国过程控制会议(CPCC2021)论文集，2021-07-30
39. DOI 贺彦林,梁礼龙,徐圆,朱群雄
Novel Discriminant Locality Preserving Projections based on improved Synthetic Minority Oversampling with Application to Fault Diagnosis[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference，2021-05-14
40. DOI Xu, Yuan;Xi, Changchao;Zhang, Yang;Zhu, Qunxiong;He, Yanlin
A Novel Interval Prediction Method based on Long Short-term Memory Networks with Adaptive Dropout[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
41. DOI Zhu, Qunxiong;Zhang, Ning;Xu, Yuan;He, Yanlin
Novel Mahalanobis Distance Based Fault Diagnosis Using Discrimination Neighborhood Preserving Embedding for Industrial Process[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
42. DOI Xu, Yuan;Cong, Kaiduo;Zhang, Yang;Zhu, Qunxiong;He, Yan-Lin
Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
43. DOI Zhu, Qun-Xiong;Zhu, Meiyu;Xu, Yuan;He, Yan-Lin
An Improved Virtual Sample Generation Method Based on Quadrat Density Method and Quantile Regression for Small Sample Size Problem[会议论文]，Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021，2021-05-14
44. DOI Chen, Zhong-Sheng;Zhu, Qun-Xiong;Xu, Yuan;He, Yan-Lin;Su, Qing-Lin;Liu, Yiqing C.;Nagy, Zoltan K.
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system[期刊论文]，SOFT COMPUTING，2021-04-01
45. DOI Zhu, Qun-Xiong;Jin, Chengyan;He, Yan-Lin;Xu, Yuan
Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2021-03-24
46. DOI Jiang, Zhiying;Gao, Bo;He, Yanlin;Han, Yongming;Doyle, Paul;Zhu, Qunxiong
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports[期刊论文]，MATHEMATICAL PROBLEMS IN ENGINEERING，2021-03-05
47. DOI Zhang, Xiao-Han;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA TRANSACTIONS，2021-03-01
48. DOI Chen, Zhongsheng;Zhu, Meiyu;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
基于分位数回归CGAN的虚拟样本生成方法及其过程建模应用[期刊论文]，化工学报，2021-03-01
49. DOI Cao, Jian;He, Yan-Lin;Zhu, QunXiong
An ontology-based procedure knowledge framework for the process industry[期刊论文]，CANADIAN JOURNAL OF CHEMICAL ENGINEERING，2021-02-01
50. DOI He, Yan-Lin;Hua, Qiang;Yang, Cheng;Xu, Yuan;Zhu, Qun-Xiong
Research and Application of Function Linked Neural Network Based on Error Compensation[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
51. DOI Zhu, Qun-Xiong;Wang, Zhi-Hui;He, Yan-Lin;Xu, Yuan
A Monte Carlo and Kernel Density Estimation based virtual sample generation method for small data modeling problem[会议论文]，2020 CHINESE AUTOMATION CONGRESS (CAC 2020)，2021-01-29
52. DOI Zhu, Qun-Xiong;Song, Qi;Zhang, Ning;Xu, Yuan;He, Yan-Lin
A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
53. DOI Zhu, Qun-Xiong;Hou, Kun-Rui;Chen, Zhong-Sheng;Xu, Yuan;He, Yan-Lin
Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
54. DOI Zhu, Qun-Xiong;Gao, Zi-Shu;Zhang, Ning;He, Yan-Lin;Xu, Yuan
Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning[会议论文]，Proceeding - 2021 China Automation Congress, CAC 2021，2021-01-01
55. DOI Chen, Zhongsheng;Liu, Deping;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
Integrating local outlier factor with radial basis function interpolation for small sample size problems[会议论文]，ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference，2020-12-11
56. DOI Hu, Xiao;Zhao, Yang;Xu, Yuan;He, Yan-Lin;Zhu, Qun-Xiong
Novel L2-Discriminant Locality Preserving Projection Integrated with Adaboost and Its Application to Fault Diagnosis[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
57. DOI Zhu, Qunxiong;Zhang, Xiao-han;Xu, Yuan;He, Yanlin
Intelligent Measurement Modeling Using a Novel Multi-nonlinear Mapping Based Extreme Learning Machine Integrated with Partial Least Square Regression[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-12-07
58. DOI 曹健,贺彦林,朱群雄
Solutions selection based on the P-graph Integrated Data Envelopment Analysis for Material scheduling in the ethylene production[期刊论文]，The Canadian Journal of Chemical Engineering，2020-11-25
59. DOI Zhang, Jiang;Zhu, Qun-Xiong;He, Yan-Lin
Hierarchical attention-based BiLSTM network for document similarity calculation[会议论文]，ACM International Conference Proceeding Series，2020-11-17
60. DOI 贺彦林,赵阳,朱群雄,徐圆
Online Distributed Process Monitoring and Alarm Analysis Using Novel Canonical Variate Analysis with Multicorrelation Blocks and Enhanced Contribution Plot[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-31
61. DOI Cao, Jian;He, Yan-Lin;Zhu, Qun-Xiong
Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry[会议论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-10-15
62. DOI 田业,贺彦林,朱群雄
Soft sensor development using improved whale optimization and regularization-based functional link neural network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
63. DOI Tian, Ye;He, Yan-Lin;Zhu, Qun-Xiong
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-13
64. DOI 曹健,贺彦林,朱群雄
Feedstock Scheduling Optimization Based on Novel Extensible P-Graph Reasoning in Ethylene Production[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-12
65. DOI 张晓晗,徐圆,贺彦林,朱群雄
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data[期刊论文]，ISA Transactions，2020-10-09
66. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;He, Yan-Lin
Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-10-07
67. DOI 朱群雄,张晓晗,贺彦林
Novel virtual sample generation based on locally linear embedding for optimizing the small sample problem: Case of soft sensor applications[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-09-16
68. DOI 曹健,贺彦林,朱群雄
An Ontology-Based Procedure Knowledge Framework for the Process Industry[期刊论文]，The Canadian Journal of Chemical Engineering，2020-08-28
69. DOI Zhu, Qun-Xiong;Ding, Wen-Jing;He, Yan-Lin
Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-07-15
70. DOI He, Yan-Lin;Ma, Yongchao;Xu, Yuan;Zhu, Qun-Xiong
Fault Diagnosis Using Novel Class-Specific Distributed Monitoring Weighted Naive Bayes: Applications to Process Industry[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-05-20
71. DOI He, Yan-Lin;Tian, Ye;Xu, Yuan;Zhu, Qun-Xiong
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2020-05-15
72. DOI 贺彦林,赵阳,胡潇,闫晓娜,朱群雄,徐圆
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples[期刊论文]，Engineering applications of artificial intelligence，2020-05-01
73. DOI He, Yanlin;Tian, Ye;Gu, Xiangbai;Xu, Yuan;Zhu, Qunxiong
Regularization based functional link neural network and its applications to modeling complex chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2020-03-01
74. DOI Xu, Yuan;Fan, Cuihuan;Zhu, Qun-Xiong;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yan-Lin
Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-29
75. DOI Wang, Jun;He, Yan-Lin;Zhu, Qun-Xiong
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2020-01-22
76. DOI Jiang, Zhi-Ying;Gao, Bo;Tian, Xingjian;He, Yan-Lin;Zhu, Qun-Xiong
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents[会议论文]，2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1，2020-01-01
77. DOI Zhu, Qun-Xiong;Ding, Rui;He, Yan-Lin;Xu, Yuan
A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation[会议论文]，Lecture Notes in Electrical Engineering，2020-01-01
78. DOI Xu, Yuan;Zhang, Cuicui;Zhu, Qunxiong;He, Yanlin
A Novel Local Selective Ensemble-based AdaBoost Method for Fault Detection of Industrial Process[会议论文]，PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)，2020-01-01
79. DOI 贺彦林;田业;顾祥柏;徐圆;朱群雄
基于正则化的函数连接神经网络研究及其复杂化工过程建模应用.[期刊论文]，化工学报，2019-12-24
80. DOI Xu, Yuan;Jiang, Han;Zhang, Wei;Rajabifard, Abbas;Chen, Nengcheng;Chen, Yiqun;He, Yanlin;Zhu, Qunxiong
Prediction intervals based soft sensor development using fuzzy information granulation and an improved recurrent ELM[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2019-12-15
81. DOI 朱群雄,张晓晗,高慧慧,耿志强,韩永明,贺彦林,徐圆
Soft sensor development using PLSR based multi-kernel ELM[会议论文]，2019 12th Asian Control Conference，2019-12-13
82. DOI 王旭,贺彦林,徐圆,张晓晗,朱群雄
Comprehensive Evaluation Modeling and Analysis Based on ELM Integrated AHP and PCA: Application to Food Safety[会议论文]，2019 Chinese Automation Congress，2019-11-24
83. DOI Yu, Xiaoru;He, Yanlin;Xu, Yuan;Zhu, Qunxiong
A Mega-Trend-Diffusion and Monte Carlo based virtual sample generation method for small sample size problem[会议论文]，Journal of Physics: Conference Series，2019-11-07
84. DOI He, Yanlin;Yan, Xiaona;Zhu, Qunxiong;Xu, Yuan
Dynamic regularization discriminant local preserving projection method for fault diagnosis[会议论文]，Journal of Physics: Conference Series，2019-11-07
85. DOI 朱群雄,骆意,贺彦林
Novel Distributed Alarm Visual Analysis Using Multicorrelation Block-Based PLS and Its Application to Online Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-11-04
86. DOI Jiang, Zhiying;Hao, Guowang;He, Yanlin;Chen, Kai;Wang, Yajie;Zhu, Qunxiong
An Online-Offline Computing Mode based on Apache Storm for Text Classification[会议论文]，Proc. - Chin. Autom. Congr., CAC，2019-11-01
87. DOI Zhu, Bofan;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Canonical Variate Analysis Based Regression for Monitoring of Process Correlation Structure[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
88. DOI Zhu, Qunxiong;Liu, Lu;He, Yanlin
Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain[会议论文]，Proceedings - 2019 Chinese Automation Congress, CAC 2019，2019-11-01
89. DOI 贺彦林,闫晓娜,朱群雄
Novel Pattern Recognition Using Bootstrap-Based Discriminant Locality-Preserving Projection and Its Application to Fault Diagnosis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-09-12
90. DOI 骆意;林崇阳;贺彦林;朱群雄
一种新型的模块间多变量报警阈值优化方法[会议论文]，，2019-07-31
91. DOI 耿志强,刘粉粉,韩永明,朱群雄,贺彦林
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis[会议论文]，Asian Control Conference，2019-07-18
92. DOI Xu, Yuan;Shen, Sheng-Qi;He, Yan-Lin;Zhu, Qun-Xiong
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring[期刊论文]，IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY，2019-07-01
93. DOI 徐圆,范翠环,朱群雄,贺彦林,胡麒
A novel pattern matching-based fault diagnosis using canonical variate analysis for industrial process[会议论文]，IEEE Data Driven Control & Learning Systems Conference，2019-05-27
94. DOI 孟倩倩,朱群雄,高慧慧,贺彦林,徐圆
A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems[期刊论文]，Journal of Process Control，2019-04-01
95. DOI 朱群雄,骆意,贺彦林
Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2019-03-05
96. DOI Zou, Tong;Luo, Yi;Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
97. DOI Zhu, Qun-Xiong;Zhang, Xiao-Han;Wang, Yanqing;Xu, Yuan;He, Yan-Lin
A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process[会议论文]，IFAC PAPERSONLINE，2019-01-01
98. DOI Luo, Yi;He, Yanlin;Lin, Chongyang;Zhu, Qunxiong
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0[会议论文]，PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)，2019-01-01
99. DOI Zhang, Xiaohan;Wang, Pingjiang;Gu, Xiangbai;Xu, Yuan;He, Yanlin;Zhu, Qunxiong
Research on principal components extraction based robust extreme learning machine(PCE-RELM) and its application to modeling chemical processes[期刊论文]，Huagong Xuebao/CIESC Journal，2019-01-01
100. DOI 张晓晗;汪平江;顾祥柏;徐圆;贺彦林;朱群雄
基于主元提取的鲁棒极限学习机研究及其化工建模应用[期刊论文]，化工学报，2018-12-04
101. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[期刊论文]，ENERGY，2018-11-01
102. DOI Zhang, Xiao-Han;Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling using an effective latent variable based functional link learning machine[期刊论文]，ENERGY，2018-11-01
103. DOI 张晨,朱群雄,耿志强,徐圆,韩永明,贺彦林,段芳
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies，2018-07-14
104. DOI 张晓晗,朱群雄,江志英,贺彦林,徐圆
A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development[期刊论文]，Chemometrics & Intelligent Laboratory Systems，2018-06-20
105. DOI 朱群雄,耿志强,徐圆,贺彦林,韩永明
数据和知识融合驱动的智能过程系统工程研究进展[期刊论文]，北京化工大学学报，2018-05-15
106. DOI 耿志强,Hu, Xuan,朱群雄,韩永明,徐圆,贺彦林
Pattern recognition for water flooded layer based on ensemble classifier[会议论文]，2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)，2018-04-20
107. DOI 徐圆,张明卿,叶亮亮,朱群雄,耿志强,韩永明,贺彦林
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[期刊论文]，Energy，2018-04-10
108. DOI He, Yan-Lin;Wang, Ping-Jiang;Zhang, Ming-Qing;Zhu, Qun-Xiong;Xu, Yuan
A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry[期刊论文]，ENERGY，2018-03-15
109. DOI 徐圆,张伟,张明卿,贺彦林
基于FEEMD-AE 与反馈极限学习机组合模型预测研究与应用[期刊论文]，化工学报，2018-03-10
110. DOI 朱群雄,张晓晗,顾祥柏,徐圆,贺彦林
基于特征提取的函数连接神经网络研究及其化工过程建模应用[期刊论文]，化工学报，2018-03-01
111. DOI Zhu, Qun-Xiong;He, Yan-Lin;Xu, Yuan
Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry[期刊论文]，APPLIED ENERGY，2018-03-01
112. DOI Zhu, Qun-Xiong;Wang, Xiao;He, Yan-Lin;Xu, Yuan
An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes[期刊论文]，APPLIED THERMAL ENGINEERING，2018-02-05
113. DOI 徐圆,周子茜,耿志强,王艳清,贺彦林,朱群雄
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes[会议论文]，The 2017 Asian Control Conference，2018-01-05
114. DOI Xu, Fang-Zhu;Jiang, Zhi-Ying;He, Yan-Lin;Wang, Ya-Jie;Zhu, Qun-Xiong
A storm-based parallel clustering algorithm of streaming data[会议论文]，Lect. Notes Comput. Sci.，2018-01-01
115. DOI Xu, Yuan;Jiang, Xue;Zhang, Mingqing;He, Yanlin;Duan, Fang
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes[会议论文]，PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)，2018-01-01
116. DOI Zhu Qunxiong;Ya Sitai;Geng Zhiqiang;Xu Yuan;Han Yongming;He Yanlin
Research and application of causal network modeling based on process knowledge and modified transfer entropy[期刊论文]，IFAC PAPERSONLINE，2018-01-01
117. DOI Zhu, Qun-Xiong;Chang, Li-Na;He, Yan-Lin;Xu, Yuan
Energy efficiency analysis using a novel VSG based DEA : A case study of ethylene production plants[会议论文]，2018 CHINESE AUTOMATION CONGRESS (CAC)，2018-01-01
118. DOI Zhu, Qun-Xiong;Fan, Yuan;He, Yan-Lin;Xu, Yuan
Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
119. DOI Xu, Yuan;Du, Qiang;Zhang, Mingqing;Zhu, Qunxiong;He, Yanlin
Soft-Sensing Development Using Adaptive PSO Optimization Based Multi-Kernel ELM with Error Feedback[会议论文]，PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)，2018-01-01
120. DOI 耿志强,Zhao Shanshan,朱群雄,韩永明,徐圆,贺彦林
Early warning modeling and application based on analytic hierarchy process integrated extreme learning machine[会议论文]，Intelligent Systems Conference，2017-12-18
121. DOI Zhu, Qun-Xiong;Meng, Qian-Qian;Wang, Ping-Jiang;He, Yan-Lin
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes[期刊论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-12-07
122. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-12-01
123. DOI 徐圆,米川,朱群雄,高敬阳,贺彦林
An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-11-02
124. DOI 徐圆,张明卿,朱群雄,贺彦林
An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-11-01
125. DOI 李顺子,耿志强,徐圆,贺彦林,江志英,朱群雄
Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network[会议论文]，CAC2017&CIMIC2017，2017-10-27
126. DOI 韩永明,耿志强,朱群雄,徐圆,贺彦林,王尊
PID Control Loop Performance Assessment and Diagnosis Based on DEA-Related MCDA[会议论文]，2017 6th International Symposium on Advanced Control of Industrial Processes，2017-09-20
127. DOI Zhu, Qun-Xiong;Meng, Qian-Qan;He, Yan-Lin
Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis[会议论文]，INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH，2017-08-09
128. DOI Gong,Hong-Fei;Chen,Zhong-Sheng;Zhu,Qun-Xiong;He,Yan-Lin
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries[期刊论文]，Applied Energy，2017-07-01
129. DOI 朱群雄,孟倩倩,徐圆,贺彦林
Research and application of KICA-AROMF based fault diagnosis[会议论文]，6th international Symposium on Advanced Control of Industrical Processes，2017-05-28
130. DOI 朱群雄,巩虹霏,徐圆,贺彦林
A Bootstrap based Virtual Sample Generation Method for Improving the Accuracy of Modeling Complex Chemical Processes using Small Datasets[会议论文]，2017 IEEE 6th Data Driven Control and Learning Systems Conference，2017-05-27
131. DOI Zhong-Sheng Chen,Bao Zhu,贺彦林,余乐安
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-22
132. DOI 徐圆,黄兵明,贺彦林
基于改进ELM的递归最小二乘时序差分强化学习算法及其应用[期刊论文]，化工学报，2017-03-03
133. DOI Chen,Zhong-Sheng;Zhu,Bao;He,Yan-Lin;Yu,Le-An
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2017-03-01
134. DOI Zhu, Bao;Chen, Zhong-Sheng;He, Yan-Lin;Yu, Le-An
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS，2017-02-15
135. DOI Bao Zhu,Zhong-Sheng Chen,贺彦林,余乐安
A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2017-02-15
136. DOI He,Yan-Lin;Zhu,Qun-Xiong
A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes[期刊论文]，Chemical Engineering Science，2016-10-22
137. DOI 贺彦林,徐圆,朱群雄
Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer[期刊论文]，Chemometrics and Intelligent Laboratory Systems，2016-05-15
138. DOI He, Yan-Lin;Xu, Yuan;Geng, Zhi-Qiang;Zhu, Qun-Xiong
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables[期刊论文]，ISA TRANSACTIONS，2016-03-01
139. DOI He, Yanlin;Geng, ZhiQiang;Zhu, QunXiong
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state[期刊论文]，NEUROCOMPUTING，2015-10-01
140. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
Data driven soft sensor development for complex chemical processes using extreme learning machine[期刊论文]，Chemical Engineering Research and Design，2015-10-01
141. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement[期刊论文]，ISA TRANSACTIONS，2015-09-01
142. DOI 贺彦林,徐圆,耿志强,朱群雄
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，Chinese Journal of Chemical Engineering，2015-07-02
143. DOI He,Yan-Lin;Geng,Zhi-Qiang;Zhu,Qun-Xiong
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets[期刊论文]，Engineering Applications of Artificial Intelligence，2015-05-01
144. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
145. DOI 贺彦林;王晓;朱群雄
基于主成分分析-改进的极限学习机方法的精对苯二甲酸醋酸含量软测量[期刊论文]，控制理论与应用，2015-01-15
146. DOI 朱群雄;陈希;贺彦林;林晓勇;顾祥柏
基于PCA-DEA的乙烯装置能效分析[期刊论文]，化工学报，2015-01-15
147. DOI He, Yanlin;Xu, Yuan;Geng, Zhiqiang;Zhu, Qunxiong
Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network[期刊论文]，CHINESE JOURNAL OF CHEMICAL ENGINEERING，2015-01-01
148. DOI 陈龙烨;贺彦林;林晓勇
基于信息熵优化的极限学习机研究及应用[期刊论文]，计算机与应用化学，2014-08-28
149. DOI 刘菲菲;彭荻;贺彦林;朱群雄
基于极限学习的过程神经网络研究及化工应用[期刊论文]，上海交通大学学报，2014-07-28
150. DOI Liu,Fei-Fei;Peng,Di;He,Yan-Lin;Zhu,Qun-Xiong
Research and chemical application of extreme learning based process neural network[期刊论文]，Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University，2014-07-28
151. DOI He, Yan-Lin;Geng, Zhi-Qiang;Xu, Yuan;Zhu, Qun-Xiong
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise[期刊论文]，NEUROCOMPUTING，2014-03-27
152. DOI 刘国超;贺彦林;朱群雄
隐含层组合型ELM研究及应用[期刊论文]，计算机与应用化学，2013-12-28
153. DOI 高慧慧;贺彦林;彭荻;朱群雄
基于数据属性划分的递阶ELM研究及化工应用[期刊论文]，化工学报，2013-08-15
154. DOI 彭荻;贺彦林;徐圆;朱群雄
基于数据特征提取的AANN-ELM研究及化工应用[期刊论文]，化工学报，2012-09-15

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