Introduction1. Professor, College of Information Science & Technology, BUCT 2. Doctoral Supervisor, College of Information Science & Technology, BUCT 3. Director, Institute of Computational Intelligence and Systems Engineering, BUCT 4. Deputy Director, Engineering Research Center of Intelligent PSE, Ministry of Education in China 5. Secretary General, Beijing Association of Automation 6. Vice chairman, Technical Committee on Process Control, Chinese Association of Automation 7. Committee Member, Technical Committee on Data Driven Control, Learning and Optimization, Chinese Association of Automation 8. Committee Member, Technical Committee on Industrial Artificial Intelligence Committee, Artificial Intelligence Society of China 9. Committee Member, Technical Committee on Cause and effect and Uncertainty Committee, Artificial Intelligence Society of China EducationWork ExperienceSocial PositionSocial ActivitiesResearchResearch direction: Machine learning and system simulation, Fault detection and diagnosis, Computational intelligence and industrial applications TeachingUndergraduate courses: Artificial Intelligence and Applications, Fundamentals of Artificial Intelligence, Introduction to Artificial Intelligence Master's program: Safety Systems Engineering Doctoral Program: Intelligent Systems and Intelligent Control PostgraduatesFunding1. 07/2024-07/2026 Enterprise Technology Development Program(Project Principal) ——Edge perception data processing and collaborative computing module for mining 2. 01/2020-12/2013 3. National Natural Science Foundation of China (Project Principal) ——Researches on disaster risk evolution prediction for hazardous chemicals of petrochemical industry under the conditions of imbalanced and small sample datasets 4. 01/2020-12/2022/12 Sub project of National Key Research and Development Program(Project Principal) ——High confidence urban token fusion theory and system architecture 5. 01/2020-12/2022/12 Sub project of National Key Research and Development Program(Project Principal) ——Elastic computing and intelligent analysis technology for end-to-end cloud collaboration 6. 01/2016-12/2019 National Natural Science Foundation of China (Project Principal) ——Research on key technologies of alarm identification analysis and dependence root-cause for complex industry process 7. 01/2015-12/2018 National Natural Science Foundation of China (Project Principal) ——Research on key technologies of service partitioning, recommendation and management oriented to business process 8. 01/2012-12/2014 National Natural Science Foundation of China (Project Principal) ——Research of extension fault diagnosis method in chemical process 9. 01/2014-12/2016 Beijing Natural Science Foundation (Project Principal) ——Research on key techniques of accident prediction and virtual display for dangerous chemicals based on extension theory and VRGIS 10. 01/2014-12/2016 Beijing Higher Education Young Elite Teacher Project (Project Principal) ——Research on disaster analysis and control system based on swarm intelligence theory 11. 01/2014-12/2015 Programs for Beijing Excellent Talents D (Project Principal) ——Research on key techniques of disaster prevention simulation and emergency rescue drills for urban hazardous chemicals 12. 01/2015-12/2016 Open Fund of the State Key Laboratory of Software Development Environment (Project Principal) ——Research on techniques of temporal-spatial context based cross multimedia multimodal semantic feature fusion and data vitalization 13. 01/2014-12/2015 Fundamental Research Funds for Central Universities (Project Principal) ——Research of disaster accident prediction and three-dimensional simulation based on extension theory 14. 09/2011-7/2012 Sinopec Sci-Tech Development Project of China (Project Principal) ——MIBK device monitoring system based on flow-chart management 15. 01/2010-12/2010 Fundamental Research Funds for Central Universities (Project Principal) ——Research of extension safety engineering method for complex process industry 16. 01/2016-12/2016 International exchanges and cooperation project (Project Principal) ——Technologies of data recognition and data vitalization 17. 01/2015-12/2015 International exchanges and cooperation project (Project Principal) ——System signal and image processing 18. 01/2014-12/2014 International exchanges and cooperation project (Project Principal) ——Research and application of big data technologies Vertical ProjectHorizontal ProjectPublications[1] Haoyang Qing, Ning Zhang, Yanlin He, Qunxiong Zhu, Yuan Xu*. Preconnected and trainable adjacency matrix-based GCN and neighbor feature approximation for industrial fault diagnosis[J]. Journal of Process Control,2024, 143: 103320 [2] Haoyang Qing, Ning Zhang, Yanlin He, Yuan Xu, Qunxiong Zhu*. IC points weight learning-based GCN and improving feature distribution for industrial fault diagnosis[J]. Expert Systems with Applications, 2024, 124618: 0957-4174 [3] Yuan Xu, Zhen-Zhen Zhao, Tong-Wei Lu, Wei Ke, Yi Luo, Yan-Lin He, Qun-Xiong Zhu, Yang Zhang, Ming-Qing Zhang*. Latent temporal smoothness-induced Schatten-p norm factorization for sequential subspace clustering[J]. Engineering Applications of Artificial Intelligence, 2025, 139: 109476 [4] Yan Xu, Qun-Xiong Zhu, Wei Ke, Yan-Lin He, Ming-Qing Zhang, Yuan Xu*. Virtual sample generation for soft-sensing in small sample scenarios using glow-embedded variational autoencoder[J]. Computers and Chemical Engineering, 2025,193: 108925 [5] Xiao-Lu Song, Ning Zhang, Yilin Shi, Yan-Lin He, Yuan Xu*, Qun-Xiong Zhu*. Quality-driven deep feature representation learning and its industrial application to soft sensors[J]. Journal of Process Control, 2024, 142: 103300 [6] Xiao-Lu Song, Lei Chen, Ning Zhang, Yan-Lin He, Yuan Xu*, Qun-Xiong Zhu*. Feature Representation-Based Cross-Modality Shared-Specific Network and Its Application in Multimode Process Soft Sensing[J]. IEEE Transactions on Industrial Informatics, 2024, 20(10): 12168-12177 [7] Yuan Xu, Xue Jiang, Wei Ke, Qunxiong Zhu, Yanlin He, Yang Zhang, Zixu Wang*. A novel pattern classification integrated Global−Local Preserving Projections with improved adaptive rank-order morphological filter for fault diagnosis[J]. Process Safety and Environmental Protection, 2023, 171: 299-311 [8] Qunxiong Zhu, Yushi Qian, Ning Zhang, Yanlin He*, Yuan Xu*. Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis[J]. Journal of Process Control, 2023,130: 103069 [9] Xiaolu Song, Yanlin He, Xingyuan Li, Qunxiong Zhu*, Yuan Xu*. Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data[J]. Expert Systems with Application, 2023,225: 120085 [10] QunxiongZhu, Hongtao Zhang, Tian Ye; NIng Zhang, Yuan Xu*, Yanlin He*. Co-training based virtual sample generation for solving the small sample size problem in process industry[J]. ISA TRANSACTIONS, 2023,134,290-301 [11] Xue Jiang, Yuan Xu*, Wei Ke, Yang Zhang, Qunxiong Zhu, Yanlin He. An imbalanced multi-fault diagnosis method based on bias weights adaBoost[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-8 [12] Qunxiong Zhu, Xinwei Wang, Ning Zhang, Yuan Xu*, Yanlin He. Novel K-Medoids based SMOTE integrated with locality preserving projections for fault diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71：3528908 [13] Yanlin He, Lei Chen, Yanlu Gao, Jiahui Ma, Yuan Xu*, Qunxiong Zhu*. Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption[J]. ISA transactions, 2022, 127: 350-360 [14] Qunxiong Zhu, Xinwei Wang, Kun Li, Yuan Xu*, Yanlin He*. Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach[J]. Journal of Process Control, 2022, 118: 1- 15 [15] Yuan Xu, Kaiduo Cong, Yang Zhang, Qunxiong zhu, Yan-Lin He* . A novel adaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition[J]. Journal of Process Control, 2021, 104: 158-167 [16]Zhongsheng Chen, Kunrui Hou, Meiyu Zhu, Yuan Xu*, Qunxiong Zhu. A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: application to soft sensing for chemical process[J]. Applied Soft Computing, 2021, 101: 107070 [17] Yanlin He, Kun Li, Ning Zhang, Yuan Xu*, Qunxiong Zhu. Fault diagnosis using improved discrimination locality preserving projections integrated with sparse autoencoder[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 3527108 [18] Qunxiong Zhu, Kunrui Hou, Zhongsheng Chen, Zishu Gao, Yuan Xu*, Yanlin He. Novel virtual sample generation using conditional GAN for developing soft sensor with small data[J]. Engineering Applications of Artificial Intelligence, 2021, 106: 104497 [19] Qunxiong Zhu, Chengyan Jin, Yanlin He, Yuan Xu* . Pattern mining of alarm flood sequences using an improved PrefixSpan algorithm with tolerance to short-term order ambiguity[J]. Industrial & Engineering Chemistry Research, 2021, 60( 11): 4375-4384 [20]Yanlin He, Yang Zhao, Qunxiong Zhu, Yuan Xu*. Online distributed process monitoring and alarm analysis using novel CVA with multicorrelation blocks and enhanced contribution plot[J]. Industrial & Engineering Chemistry Research, 2020, 59(45): 20045-20057 [21]Yuan Xu, Cuihuan Fan, Qunxiong Zhu, Abbas Rajabifard, Nengcheng Chen, Yiqun Chen, Yanlin He* . Novel pattern matching integrated KCVA with adaptive rank-order morphological filter and its application to gault diagnosis[J]. Industrial & Engineering Chemistry Research, 2020,59(4): 1619- 1630 [22]Yanlin He, Yang Zhao, Qunxiong Zhu, Yuan Xu* . Online distributed process monitoring and alarm analysis using novel CVA with multicorrelation blocks and enhanced contribution plot[J]. Industrial & Engineering Chemistry Research, 2020, 59(45): 20045-20057 [23]Qianqian Meng, Qunxiong Zhu, Huihui Gao, Yanlin He, Yuan Xu* . A novel scoring function based on family transfer entropy for bayesian networks learning and its application to industrial alarm systems[J]. Journal of Process Control, 2019, 76: 122- 132 [24]Yuan Xu, Shengqi Shen, Yanlin He, Qunxiong Zhu* . A novel hybrid method integrating CA-PCA with relevant vector machine for multivariate process monitoring[J]. IEEE Transactions on Control Systems Technology, 2018, 27(4): 1780 - 1787 [25]Qunxiong Zhu, Chen Zhang, Yanlin He, Yuan Xu* . Energy modeling and saving potential analysisusing a novel extreme learning fuzzy logic network: A case study of ethylene industry[J]. Applied Energy, 2018, 213: 322-333 [26]Yuan Xu, Mingqing Zhang, Liangliang Ye, Qunxiong Zhu, Zhiqiang Geng, Yanlin He, Yongming Han* . A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction[J]. Energy, 2018, 164: 137- 146 [27]Yanlin He, Pingjiang Wang, Mingqing Zhang, Qunxiong Zhu, Yuan Xu* . 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[J]. Energy, 2018, 147 :418-427 [28]Xiaohan Zhang, Qunxiong Zhu, Yanlin He, Yuan Xu* . Energy modeling using an effective latent variable based functional link learning machine[J]. Energy, 2018, 162: 883-891 [29]Xiaohan Zhang, Qunxiong Zhu, Yanlin He, Yuan Xu* . A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry[J]. Energy, 2018, 162: 593-602 [30]Qunxiong Zhu, Xiao Wang, Yanlin He, Yuan Xu* . An improved extreme learning machine integrated with nonlinear principal components and its application to monitoring complex chemical processes[J]. Applied Thermal Engineering, 2018, 130: 745-753
Awards1. Capital Frontier Academic Achievement Award, Beijing Association for Science and Technology, 2024 2. Beijing Association for Science and Technology's Best Paper Award in the 11th International Symposium on Computational Intelligence and Industrial Applications, The 15th China-Japan International Workshop on Information Technology and Control Applications, 2024 3. Innovation Excellence Academic Contribution Award, Beijing Association for Science and Technology, 2023 4. Capital Frontier Academic Achievement Award, Beijing Association for Science and Technology, 2022 5. 3rd Science and Technology Progress Award of China Petrol and Chemical Industry Association——Research and application of key technologies for emergency rescue drills and safety education intelligent platforms in chemical enterprises, 2020 6. Beijing Association for Science and Technology Advanced Individual, 2017 7. 14th Beijing University of Chemical Technology Excellent Young lecturer, 2016 8. 1st Technological Invention Award of China National Association for Automation in Petroleum and Chemical Industry——Optimization control technology of delayed coking plant based on process mechanism, expert knowledge and intelligent computing, 2012 9. Best Instructor Prize in the 6th Information Technology Application Competition, 2011 10. Best Instructor for the 6th National Information Technology Application Level Competition, 2011 11. Best Paper Prize in the 13th Annual Symposium of Information Technology Professional Committee in Chemical Industry and Engineering Society of China (The Only Receiver), 2010 12. 1st Scientific and Technological Progress Award of China National Association for Automation in Petroleum and Chemical Industry——Data-driven intelligent optimization technology and engineering application for large-scale petrochemical installations, 2010 13. 2nd Scientific and Technological Progress Award of China National Association for Automation in Petroleum and Chemical Industry——Intelligent optimization of Pure Terephthalic Acid (PTA) solvent system,2009 PatentHonor RewardAdmissions Information |