Wang Lingfeng头像

Wang Lingfeng

Professor

Research direction: 13/10000实时翻译 划译 Autonomous driving, robotics, and intelligent medicine

Education:

  • Department: College of Information Science and Technology BUCT
  • ORCID:
  • DBLP:

10 Access

  • Email: lfwang@buct.edu.cn
  • Office :

Introduction

Wang Lingfeng
Professor and doctoral supervisor at the School of Information Science and Technology, Beijing University of Chemical Technology
Member of the Pattern Recognition and Machine Intelligence Professional Committee of the Chinese Society of Automation
Member of the Intelligent Manufacturing System Professional Committee of the Chinese Society of Automation
Member of the System Complexity Professional Committee of the Chinese Society of Automation
Research Fields: Machine Learning Theory and Computer Vision
Published over 80 papers in international authoritative journals including IEEE T-PAMI, T-NNLS, T-IP, T-MM, T-CSVT, as well as at top international conferences such as NIPS and ICCV. Hosted multiple projects, including national general funds.

Education

Work Experience

Social Position

Social Activities

Research

Autonomous driving, robots, and intelligent medicine

Teaching

Compilation Principle

Postgraduates

Funding

1. Research on Multi Sensor Fusion Perception Method for Autonomous Driving under Adverse Weather Conditions,  
National Natural Science Foundation of China project (2024-2027) 
2. Research on Key Technologies of Behavior Recognition Based on Hierarchical Deep Representation, 
National Natural Science Foundation of China project(2018-2021)

Vertical Project

Horizontal Project

Publications

1. Jianlong Chang, Gaofeng Meng, Lingfeng Wang*(通讯作者), Shiming Xiang, Chunhong Pan: Deep Self-Evolution Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI) 42(4): 809-823 (2020)

2. Xinyu Xiao, Lingfeng Wang*(通讯作者), Kun Ding, Shiming Xiang, Chunhong Pan: Deep Hierarchical Encoder-Decoder Network for Image Captioning. IEEE Transactions on Multimedia (IEEE T-MM) 21(11): 2942-2956 (2019)

3. Lingfeng Wang, Chunhong Pan: Groupwise Retargeted Least-Squares Regression. IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS) 29(4): 1352-1358 (2018)

4. Lingfeng Wang, Xu-Yao Zhang, Chunhong Pan: MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multicategory Classification. IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS) 27(12): 2711-2717 (2016)

5. Lingfeng Wang, Huai-Yu Wu, Chunhong Pan. Manifold Regularized Local Sparse Representation for Face Recognition. IEEE Transactions on Circuits And Systems For Video Technology (IEEE T-CSVT) 25(4): 651-659. (2015)

6. Lingfeng Wang, Huai-Yu Wu, Chunhong Pan. Fast Image Upsampling Via the Displacement Field. IEEE Transactions on Image Processing (IEEE T-IP) 23(12): 5123-5135. (2014)

7. Lingfeng Wang, Hongping Yan, Ke Lv, Chunhong Pan. Visual Tracking Via Kernel Sparse Representation with Multi-kernel Fusion. IEEE Transactions on Circuits And Systems For Video Technology (IEEE T-CSVT) 24(7): 1132-1141. (2014)

8. Lingfeng Wang, Hongping Yan, Huai-Yu Wu, Chunhong Pan. Forward-Backward Mean-Shift for Visual Tracking with Local-Background-Weighted Histogram. IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS) 14(3): 1480-1489. 2013

9. Lingfeng Wang, Shiming Xiang, Gaofeng Meng, Huai-Yu Wu, Chunhong Pan. Edge-Directed Single-Image Super-Resolution Via Adaptive Gradient Magnitude Self-Interpolation. IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT) 23(8): 1289-1299. (2013)

10. Lingfeng Wang, Chunhong Pan: Visual Object Tracking Via a Manifold Regularized Discriminative Dual Dictionary Model. Pattern Recognition (PR) 91: 272-280 (2019)

11. Lingfeng Wang, Zehao Huang, Yongchao Gong, Chunhong Pan: Ensemble Based Deep Networks for Image Super-Resolution. Pattern Recognition (PR) 68: 191-198 (2017)

12. Lingfeng Wang, Chunhong Pan:Robust Level Set Image Segmentation Via a Local Correntropy-Based K-Means Clustering. Pattern Recognition (PR) 47(5): 1917-1925. (2014)

Awards

In 2013, won the Special Award from the President of the Chinese Academy of Sciences (top 1%)
In 2014, awarded the title of Outstanding Doctoral Dissertation by the Chinese Academy of Sciences (top 1%)
In 2014, member of the Youth Promotion Association of the Chinese Academy of Sciences (Chinese Academy of Sciences Youth Talent Program)
In 2018, won the Innovation Achievement Award from the China Association for the Promotion of Industry University Research Cooperation
In 2019, won the Invention and Entrepreneurship Achievement Award from the China Invention Association
In 2020, Changzhou Longcheng Talent (Class D Talent)

In 2021, Beijing University of Chemical Technology introduced talents

In 2024, PRCV(CCF-C) Confenece, Published papers were nominated for Best Paper

Patent

Honor Reward

Admissions Information