Office Address:

The State Key Laboratory of Managerment and Control for Complex Systems

Institute of Automation, Chinese Academy of Sciences (CASIA)

No.95 ZhongGuanCun East St, HaiDian District

Beijing, P.R.China, 100190

Tel: +86-10-82544671, Fax: +86-10-82544671

Email: weiqun.wang[at]ia.ac.cn 

Education:

CASIA: Ph.D. (2014), majors in Control Theory and Control Engineering

Beijing Research Institute of Automation for Machinery Industry: M.E.(2006), majors in Control Theory and Control Engineering

Yanshan University: B.S. (2002),  majors in Mechanical Engineering and Automation.

Professional Appointments:

2020- Professor, CAS Center for Excellence in Brain Science and Intelligence Technology.

2019- Professor, Institute of Automation, Chinese Academy of Sciences.

2014-2019 Associate Professor, Institute of Automation, Chinese Academy of Sciences.

2006-2011 Electrical and Control Engineer, Beijing Research Institute of Automation for Machinery Industry.

Research Interests

Neuro-rehabilitation robotics, human-robot interaction, intelligent perception, learining and optimization algorithms.

Selected Journal Publications:

[1] Weiqun Wang, Weiguo Shi, Zeng-Guang Hou*, Badong Chen, Xu Liang, Shixin Ren, Jiaxing Wang, and Liang Peng, “Prediction of human voluntary torques based on collaborative neuromusculoskeletal modeling and adaptive learning,” IEEE Transactions on Industrial Electronics,2020. 

[2] Shixin Ren, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, and Weiguo Shi, “Enhanced motor imagery based brain-computer interface via FES and VR for lower limbs,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020. 

[3] Jiaxing Wang, Weiqun Wang, and Zeng-Guang Hou*, “Towards improving engagement in neural rehabilitation: attention enhancement based on brain-computer interface and audiovisual feedback,” IEEE Transactions on Cognitive and Developmental Systems, 2019.

[4] Weiqun Wang, Weiguo Shi, Shixin Ren, Zeng-Guang Hou*, Xu Liang, Jiaxin Wang, and Liang Peng，“GPR and SPSO-CG based gait pattern generation for subject-specific training, ” SCIENCE CHINA Information Sciences, 2019.

[5] Shixin Ren, Weiqun Wang*, Zeng-Guang Hou, Badong Chen, Xu Liang, Jiaxing Wang, Liang Peng, “Personalized gait trajectory generation based on anthropometric features Using Random Forest,” Journal of Ambient Intelligence and Humanized Computing, 2019.

[6] Shixin Ren, Weiqun Wang*, Zeng-Guang Hou, Badong Chen, Weiguo Shi, Jiaxing Wang, Xu Liang,“Closed Loop Brain Computer Interface Based on Improved Common Spatial Patterns and Visual Feedback,” Journal of Mechanical Engineering, , vol. 15, no. 11, pp. 28-35, 2019. (in Chinese)

[7] Weiqun Wang, Zeng-Guang Hou, Long Cheng, Lina Tong, Liang Peng, Long Peng, Min Tan,“Towards patients’ motion intention recognition: Dynamics modeling and identification of iLeg - a lower limb rehabilitation robot under motion constraints,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 7, pp. 980-992, 2016. 

[8] Weiqun Wang, Zeng-Guang Hou, Lina Tong, Feng Zhang, Yixiong Chen and Min Tan,  “A novel leg orthosis for lower limb rehabilitation robots of the sitting/lying type,” Mechanism and Machine Theory, vol. 74, pp. 337-353, 2014. 

[9] Jing Li, Yaokai Xue, Weiqun Wang, and Gaoxiang Ouyang*, "Cross-Level Parallel Network for Crowd Counting," IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 566-576, 2020.

[10] Tairen Sun, Long Cheng, Weiqun Wang, and Yongping Pan*, “Semiglobal exponential control of Euler-Lagrange systems using a sliding-mode disturbance observer,”Automatica, 2019.

[11] Yunfei Zheng, Badong Chen*, Shiyuan Wang and Weiqun Wang, "Broad Learning System Based on Maximum Correntropy Criterion," IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2020.3009417.

Selected Conference Papers:

[12] Zhijie Fang, Weiqun Wang*, Shixin Ren, Jiaxing Wang, Weiguo Shi1, Xu Liang, Chen-Chen Fan and Zengguang Hou,“Learning regional attention convolutional neural network for motion intention recognition based on EEG data,” the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence(IJCAI-PRICAI), 2020.

[13] Zhijie Fang, Weiqun Wang*, Zeng-Guang Hou, “Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition based on Spatiotemporal EEG Data,” The 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

[14] Xu Liang, Weiqun Wang*, Zeng-Guang Hou, Shixin Ren, Jiaxing Wang, Weiguo Shi, Liang Peng, Tingting Su, "Position based impedance control strategy for a lower limb rehabilitation robot," in the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019.

[15] Jiaxing Wang, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Shixin Ren, Liang Peng, "Towards enhancement of patients’engagement: online modification of rehabilitation training modes using facial expression and muscle fatigue," in the 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)，Honolulu, Hawaii，July 17-21, 2018, pp. 2304-2307.

[16] Jiaxing Wang, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Shixin Ren, and Liang Peng, “Brain Functional Connectivity Analysis and Crucial Channel Selection Using Channel-Wise CNN,” in the 25th International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, December 13-16, 2018.

[17] Jiaxing Wang, Weiqun Wang*, Zeng-Guang Hou, Weiguo Shi, Xu Liang, Shixin Ren, Liang Peng and Yan-Jie Zhou, “BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation,” The 2019 International Joint Conference on Neural Networks (IJCNN)，Budapest，Jul 14-19, 2019.

[18] Weiguo Shi, Weiqun Wang*, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, Shixin Ren, and Liang Peng, "SEMG and KNN based human motion intention recognition for active and safe neurorehabilitation," The 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

[19] Weiqun Wang, Zeng-Guang Hou*, Weiguo Shi, Xu Liang, Shixin Ren, Jiaxing Wang, and Liang Peng, "Neuromuscular activation based sEMG-torque hybrid modeling and optimization for robot assisted neurorehabilitation," in the 26th International Conference on Neural Information Processing (ICONIP), Sydney, Australia, December 12-15, 2019.

[20] Weiqun Wang, Zeng-Guang Hou*, Lina Tong, Yixiong Chen, Liang Peng and Min Tan, "Dynamics identification of the human-robot interface based on a lower limb rehabilitation robot," in Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA) , Hong Kong, China, Jun. 2014, pp. 6012-6017.