General

Kunfeng Wang is a Professor at Beijing University of Chemical Technology. He is a Senior Member of the IEEE.

Contact him via e-mail: wangkf@mail.buct.edu.cn

部门/实验室:复杂系统管理与控制国家重点实验

Research Areas

Computer vision; image and video processing; intelligent transportation systems and intelligent vehicles

Education

2003–2008   Ph.D., Control Theory and Control Engineering, Graduate University of Chinese Academy of Sciences

1999–2003   B.E., Beihang University


Experience

   
Work Experience

Aug. 2019-now         Professor, Beijing University of Chemical Technology

Dec. 2015–Jan. 2017 Visiting Scholar, College of Computing, Georgia Institute of Technology, USA

Nov. 2015–Aug. 2019 Associate Professor, Institute of Automation, Chinese Academy of Sciences

July 2008–Oct. 2015 Assistant Professor, Institute of Automation, Chinese Academy of Sciences

Publications

   
Papers

Selected Journal Papers:

  1. Li Li#, Xiao Wang#Kunfeng Wang#, et al. Parallel Testing of Vehicle Intelligence via Virtual-Real Interaction. Science Robotics, Mar. 2019, vol. 4, eaaw4106.

  2. Kunfeng Wang*, Fei-Yue Wang, Ramesh Visvanathan, Ashish Shrivastava, David Vázquez, and Fuxin Li. Generating Virtual Images for Promoting Visual Artificial Intelligence. Neurocomputing, 2019.

  3. Wenbo Zheng, Kunfeng Wang*, and Fei-Yue Wang. A Novel Background Subtraction Algorithm Based on Parallel Vision and Bayesian GANs. Neurocomputing, 2019.

  4. Wenwen Zhang, Kunfeng Wang*, Yating Liu, Yue Lu, and Fei-Yue Wang. A Parallel Vision Approach to Scene-Specific Pedestrian Detection. Neurocomputing, 2019.

  5. Chao Gou, Hui Zhang, Kunfeng Wang, Fei-Yue Wang, and Qiang Ji. Cascade Learning from Adversarial Synthetic Images for Accurate Pupil Detection. Pattern Recognition, Apr. 2019, vol. 88, pp. 584-594.

  6. Xuan Li, Kunfeng Wang*, Yonglin Tian, Lan Yan, Fang Deng, and Fei-Yue Wang. The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research. IEEE Transactions on Intelligent Transportation Systems, Aug. 2018.

  7. Hui Zhang, Kunfeng Wang*, Yonglin Tian, Chao Gou, and Fei-Yue Wang. MFR-CNN: Incorporating Multi-Scale Features and Global Information for Traffic Object Detection. IEEE Transactions on Vehicular Technology, Sept. 2018, vol. 67, no. 9, pp. 8019-8030.

  8. Li Li, Yi-Lun Lin, Nan-Ning Zheng, Fei-Yue Wang, Yuehu Liu, Dongpu Cao, Kunfeng Wang, and Wu-Ling Huang. Artificial Intelligence Test: A Case Study of Intelligent Vehicles. Artificial Intelligence Review, Oct. 2018, vol. 50, no. 3, pp. 441–465.

  9. Wenbo Zheng, Kunfeng Wang, and Fei-Yue Wang. Background Subtraction Algorithm With Bayesian Generative Adversarial Networks. Acta Automatica Sinica, 2018, vol. 44, no. 5, pp. 878-890.

  10. Kunfeng Wang*, Wang-Meng Zuo, Ying Tan, Tao Qin, Li Li, and Fei-Yue Wang. Generative Adversarial Networks: From Generating Data to Creating Intelligence. Acta Automatica Sinica, 2018, vol. 44, no. 5, pp. 769-774.

  11. Kunfeng Wang*, Chao Gou, and Fei-Yue Wang. M4CD: A Robust Change Detection Method for Intelligent Visual Surveillance. IEEE Access, 2018, vol. 6, pp. 15505-15520.

  12. Yonglin Tian, Xuan Li, Kunfeng Wang*, and Fei-Yue Wang. Training and Testing Object Detectors with Virtual Images. IEEE/CAA Journal of Automatica Sinica, March 2018, vol. 5, no. 2, pp. 539-546.

  13. Yating Liu, Kunfeng Wang, and Fei-Yue Wang. Tracklet Association-based Visual Object Tracking: The State of the Art and Beyond. Acta Automatica Sinica, 2017, vol. 43, no. 11, pp.1869-1885.

  14. Kunfeng Wang, Chao Gou, Nanning Zheng, James M. Rehg, and Fei-Yue Wang. Parallel Vision for Perception and Understanding of Complex Scenes: Methods, Framework, and Perspectives. Artificial Intelligence Review, 2017, vol. 48, no. 3, pp. 299-329.

  15. Kunfeng Wang, Chao Gou, Yanjie Duan, Yilun Lin, Xinhu Zheng, and Fei-Yue Wang. Generative Adversarial Networks: Introduction and Outlook. IEEE/CAA Journal of Automatica Sinica, 2017, vol. 4, no. 4, pp. 588-598.

  16. Hui Zhang, Kunfeng Wang, and Fei-Yue Wang. Advances and Perspectives on Applications of Deep Learning in Visual Object Detection. Acta Automatica Sinica, 2017, vol. 43, no. 8, pp. 1289-1305.

  17. Chao Gou, Yue Wu, Kang Wang, Kunfeng Wang, Fei-Yue Wang, and Qiang Ji. A Joint Cascaded Framework for Simultaneous Eye Detection and Eye State Estimation. Pattern Recognition, 2017, vol. 67, pp. 23-31.

  18. Kunfeng Wang, Yue Lu, Yutong Wang, Ziwei Xiong, and Fei-Yue Wang. Parallel Imaging: A New Theoretical Framework for Image Generation. Pattern Recognition and Artificial Intelligence, 2017, vol. 30, no. 7, pp. 577-587.

  19. Kunfeng Wang, Chao Gou, Yanjie Duan, Yilun Lin, Xinhu Zheng, and Fei-Yue Wang. Generative Adversarial Networks: The State of the Art and Beyond. Acta Automatica Sinica, 2017, vol. 43, no. 3, pp. 321-332.

  20. Kunfeng Wang, Chao Gou, and Fei-Yue Wang. Parallel Vision: An ACP-based Approach to Intelligent Vision Computing. Acta Automatica Sinica, 2016, vol. 42, no. 10, pp. 1490-1500.

  21. Kunfeng Wang*, Yuqiang Liu, Chao Gou, and Fei-Yue Wang. A Multi-View Learning Approach to Foreground Detection for Traffic Surveillance Applications. IEEE Transactions on Vehicular Technology, 2016, vol. 65, no. 6, pp. 4144-4158.

  22. Chao Gou, Kunfeng Wang*, Yanjie Yao, and Zhengxi Li. Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines. IEEE Transactions on Intelligent Transportation Systems, 2016. vol. 17, no. 4, pp. 1096-1107.

  23. Yuqiang Liu, Kunfeng Wang*, and Dayong Shen. Visual Tracking Based on Dynamic Coupled Conditional Random Field Model. IEEE Transactions on Intelligent Transportation Systems, 2016. vol. 17, no. 3, pp. 822-833.

  24. Kunfeng Wang* and Yanjie Yao. Video-Based Vehicle Detection Approach with Data-Driven Adaptive Neuro-Fuzzy Networks. International Journal of Pattern Recognition and Artificial Intelligence, 2015, vol. 29, no. 07, 32 pages.

Patents
I have been awarded 17 innovation patents and one US patent.

Research Interests

Computer vision; image and video processing; pattern recognition and machine learning; intelligent transportation systems and intelligent vehicles

Students

指导/协助指导学生

刘雅婷 - 中科院自动化所博士生

张慧 - 中科院自动化所博士生

王雨桐 - 中科院自动化所博士生

严岚 - 中科院自动化所博士生

李轩 - 北京理工大学博士生

张文文 - 西安交通大学博士生

田永林 - 中国科学技术大学博士生

李雪松 - 中科院自动化所硕士生

陈薏竹 - 中科院自动化所硕士生

Honors & Distinctions

IEEE Senior Member (2018-)

CAA Senior Member (2017-)

Associate Editor, IEEE Transactions on Intelligent Transportation Systems (2012-)

Guest Editor, Neurocomputing (2017-)

Guest Editor, Acta Automatica Sinica (2017-2018)