General

Dongbin Zhao, Ph.D. Professor, Insitute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Email: dongbin.zhao@ia.ac.cn
Telephone: (+86) 10 8254 4764 
Mobile phone:
Address: Rm 1005, Smart Buld, No 95 Zhong guan cun East Road, Beijing, China
Postcode: 100190

部门/实验室:复杂系统管理与控制国家重点实验

Research Areas

Deep Reinforcement Learning, Computational Intelligence, Autonomous Driving, Game AI, Automated Machine Learning, Intelligent Transportation System, Robotics

Education

2000.5-2002.1, Postdoctoral Fellow, Tsinghua University, Beijing, China.
1996.9-2000.4, Ph.D., Harbin Institute of Technology, Harbin, China.
1994.9-1996.8, M.S., Harbin Institute of Technology, Harbin, China.
1990.9-1994.8, B.S., Harbin Institute of Technology, Harbin, China.

Experience

   
Work Experience
2007.8-2008.8, Visiting Scholar, University of Arizona, Tucson, U.S.A.
2002.4-present, Associate Professor -> Professor, The State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2000.5-2002.1, Post-doctor, Department of Mechanical Engineering, Tsinghua University, Beijing, China
Teaching Experience
Comutational Intelligence

Honors & Distinctions

[1] 2015, Third Award for Science and Technology Progress of Beijing, China. 

[2] 2014, Excellent Teaching Award of ZhuliYuehua, China.

[3] 2011, Sustentation Fund for International Conference, K. C. Wong Education Foundation, Hong Kong.
[4] 2010, Third Award for Science and Technology Progress of Beijing, China.
[5] 2010, First Award for Scientific and Technology Progress, China Petroleum and Chemical Automation Implementation Association.
[6] 2010, Third Prize, International Scilab Contest, INRIA & CASIA.
[7] 2010, Excellent Reviewer, Chinese Journal of Mechanical Engineering.
[8] 2009, Third Award for Scientific and Technology Progress, China Petroleum and Chemical Industry Association.
[9] 2009, Best Paper Award, The Second International Symposium on Intelligent Informatics, Qinhuangdao, China, September 13-15, 2009.
[10] 2009, Major Contribution Award, Key Lab of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences.
[11] 2009, Excellent Reviewer, Chinese Journal of Mechanical Engineering.
[12] 2008, listed in Marquis Who’s Who in the World.
[13] 2007, Excellent Reviewer, Chinese Journal of Mechanical Engineering.
[14] 2006, Excellent Reviewer, Chinese Journal of Mechanical Engineering.
[15] 2006, Scientific Award (Cooperation with Gary G. Yen), K. C. Wong Education Foundation, Hong Kong.
[16] 2004, Dean Award, Key Lab of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences.
[17] 2003, Sustentation Fund for International Conference, K. C. Wong Education Foundation, Hong Kong.
[18] 2001, First Award for Scientific Progress of Chinese Universities, Ministry of Education of China.
[19] 2001, Excellent Young Researcher Award, China Welding Society.
[20] 1999, Second Award for Scientific Progress of National Defense, Commission of Science technology and industry for National Defense of China.

Publications


Papers

International Journal Papers in recent 5 years:

[1]       Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang, “Multi-task learning for dangerous object detection in autonomous driving”, Information Sciences, DOI: 10.1016/j.ins.2017.08.035, 2017.

[2]       Li Bu, Dongbin Zhao, Cesare Alippi, “An incremental change detection test based on density difference estimation,” IEEE Transactions on Systems, Man and Cybernetics: Systems, SMCA-16-06-0569, 10.1109/TSMC.2017.2682502, 2017.

[3]       Yuanheng Zhu, Dongbin Zhao, “Comprehesive comparison of online ADP algorithms for continuous-time optimal control,” Artificial Intelligence Review, 2017. DOI :10.1007/s10462-017-9548-4

[4]       Qichao Zhang, Dongbin Zhao*, Yuanheng Zhu, “Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs,” Neurocomputing, 10.1016/j.neucom.2017.01.076, 2017.

[5]       Yuanheng Zhu, Dongbin Zhao*, Xiong Yang, Qichao Zhang, “Policy iteration for Hinfinity optimal control of polynomial nonlinear systems via sum of squares programming,” IEEE Transactions on Cybernetics, DOI 10.1109/TCYB.2016.2643687, 2016.

[6]       Li Bu, Cesare Alippi, Dongbin Zhao*, “A distribution-free change detection test based on density difference estimation,” IEEE Transactions on Neural Networks and Learning Systems, DOI 10.1109/TNNLS.2016.2619909, 2016.

[7]       Dongbin Zhao*, Yaran, Chen, Le Lv, “Deep reinforcement learning with visual attention for vehicle classification,” IEEE Transactions on Cognitive and Developmental Systems, DOI 10.1109/TCDS.2016.2614675, 2016. (Top 5 popular articles)

[8]       Qichao Zhang, Dongbin Zhao*, Ding Wang, “Event-based robust control for uncertain nonlinear systems using adaptive dynamic programming,” IEEE Transactions on Neural Networks and Learning Systems, DOI 10.1109/TNNLS.2016.2614002, 2016.

[9]       Yuanheng Zhu, Dongbin Zhao*, Haibo He, Junhong Ji, "Event-triggered optimal control for nonlinear constrained-input systems with partially unknown dynamics via adaptive dynamic programming," IEEE Transactions on Industrial Electronics, DOI 10.1109/TIE.2016.2597763.

[10]    Qichao Zhang, Dongbin Zhao*, Yuanheng Zhu, “Event-triggered H control for continuous-time nonlinear system via concurrent learning”, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 47, no. 7, pp. 1071–1081, 2017, DOI 10.1109/TSMC.2016.2531680.

[11]    Zhen Zhang, Dongbin Zhao*, Junwei Gao, Dongqing Wang, Yujie Dai, “FMRQ-A multiagent reinforcement learning algorithm for fully cooperative tasks”, IEEE Transactions on Cybernetics, vol. 47, no. 6, pp. 1367–1379, 2017. DOI 10.1109/TCYB.2016.2544866.

[12]    Dongbin Zhao, Zhongpu Xia, Qichao Zhang, “Model-free optimal control based intelligent cruise control with hardware-in-the-loop demonstration,” IEEE Computational Intelligence Magazine, vol. 12, no. 2, pp. 56–69, 2017. 10.1109/MCI.2017.2670380.

[13]    Le Lv, Dongbin Zhao*, Qingqiong Deng, “A semi-supervised predictive sparse decomposition based on the task-driven dictionary learning,” Cognitive Computation, vol. 9, pp.115–124, 2017. DOI 10.1007/s12559-016-9438-0, 2017.

[14]    Yuanheng Zhu, Dongbin Zhao*, Xiangjun Li, “Iterative adaptive dynamic programming solving unknown nonlinear zero-sum game based on online measurement”, IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 3, pp. 714 – 725, 2017, DOI 10.1109/TNNLS.2016.2561300.

[15]    Ding Wang, Derong Liu, Qichao Zhang, Dongbin Zhao, “Data-based adaptive critic design for nonlinear robust optimal control with uncertain dynamics,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 46, no. 11, pp. 1544-1555, 2016, DOI 10.1109/TSMC.2015.2492941.

[16]    Yuanheng Zhu, Dongbin Zhao*, Xiangjun Li, “Using reinforcement learning techniques to solve continuous-time nonlinear optimal tracking problem without system dynamics”, IET Control Theory and Applications, vol. 10, no. 12, pp. 1339-1347, 2016, DOI 10.1049/iet-cta.2015.0769.

[17]    Zhongpu Xia, Dongbin Zhao*, “Online reinforcement learning control by Bayesian inference,” IET Control Theory & Applications, vol. 10, no. 12, pp. 1331-1338, 2016, DOI 10.1049/iet-cta.20150669.

[18]    Yufei Tang, Haibo He, Zhen Ni, Xiangnan Zhong, Dongbin Zhao, and Xin Xu, Fuzzy-based goal representation adaptive dynamic programming, IEEE Transactions on Fuzzy Systems, vol. 24, no. 5, pp. 1159-1175, 2016, DOI 10.1109/TFUZZ.2015.2505327.

[19]    Dongbin Zhao*, Qichao Zhang, Ding Wang, Yuanheng Zhu, “Experience replay for optimal control of nonzero-sum game systems with unknown dynamics”, IEEE Transactions on Cybernetics, vol.46, no.3, pp. 854-865, 2016.

[20]    Dongbin Zhao*, Yuanheng Zhu, “MEC—a near-optimal online reinforcement learning algorithm for continuous deterministic systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 2, pp. 346–356, 2015.

[21]    Yuanheng Zhu, Dongbin Zhao*, Haibo He, Junhong Ji, “Convergence proof of approximate policy iteration for undiscounted optimal control of discrete-time systems,” Cognitive Computation, vol. 7, no. 6, pp. 763-771, 2015. DOI 10.1007/s12559-015-9350-z.

[22]    Zhen Ni, Haibo He*, Dongbin Zhao, Xin Xu, and Danil Prokhorov, “GrDHP: a general utility function representation for dual heuristic dynamic programming,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 3, pp. 614–627, 2015.

[23]    Yuanheng Zhu, Dongbin Zhao*, Derong Liu, “Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems,” Neurocomputing, Vol. 149, pp. 124–131, 2015.

[24]    Zhen Zhang, Dongbin Zhao*. Clique-based cooperative multiagent reinforcement learning using factor graphs, IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 1, pp. 248–256, 2015.

[25]    Dongbin Zhao*, Zhongpu Xia, Ding Wang, “Model-free optimal control for affine nonlinear systems based on action dependent heuristic dynamic programming with convergency analysis,” IEEE Transactions on Automation and Science Engineering. vol. 12, no. 4, pp. 1461–1468, 2015, 10.1109/TASE.2014.2348991.

[26]    Yuanheng Zhu, Dongbin Zhao*, “A data-based online reinforcement learning algorithm satisfying probably approximately correct principle,” Neural Computing and Applications, vol. 26, no. 4, pp. 775-787, 2015,  DOI.10.1007/s00521-014-1738-2.

[27]    Dongbin Zhao, Zhaohui Hu, Zhongpu Xia*, Cesare Alippi, Ding Wang, “Full range adaptive cruise control based on supervised adaptive dynamic programming,” Neurocomputing, vol.125, pp. 57-67, 2014.

[28]    Cesare Alippi, Derong Liu, Dongbin Zhao*, Li Bu, “Detecting and reacting to changes in sensing units: the active classifier case,” IEEE Transactions on System, Man and Cybernetics Part A – Systems, vol. 44, no. 3, pp. 353-362, 2014.

[29]    Bin Wang, Dongbin Zhao*, Cesare Alippi, Derong Liu, “Dual heuristic dynamic programming for nonlinear discrete-time uncertain systems with state delay,” Neurocomputing, vol. 134, pp. 222-229, 2014.

[30]    Dongbin Zhao*, Bin Wang, Derong Liu, “A supervised actor-critic approach for adaptive cruise control,” Soft Computing, 2013, Vol. 17, No. 11, pp 2089-2099.

[31]    Ding Wang, Derong Liu*, Dongbin Zhao, Yuzhu Huang, and Dehua Zhang, “A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints,” Neural Computing and Applications, vol. 22, no. 2, pp. 219227, Feb. 2013.

[32]    Dongbin Zhao*, Yujie Dai, Zheng Zhang, “Computational intelligence in urban traffic signal control, a survey,” IEEE Transactions on System, Man & Cybernetics Part C: Applications and Reviews, vol.42, no.4, pp. 485-494, 2012.

[33]    Dongbin Zhao, Zhen Zhang*, Yujie Dai, “Self-teaching adaptive dynamic programming for Go-Moku,” Neurocomputing, vol. 78, no. 1, pp. 23-29, 2012.

[34]    Derong Liu*, Ding Wang, Dongbin Zhao, Qinglai Wei, Ning Jin, “Neural-network-based optimal control for a class of unknown discrete-time nonlinear systems using globalized dual heuristic programming,” IEEE Transactions on Automation Science and Engineering, vol. 9, no. 3, pp.628 – 634, 2012.

[35]    Ding Wang, Derong Liu*, Qinglai Wei, Dongbin Zhao, Ning Jin, “Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming,” Automatica, vol. 48, no. 8, pp.1825–1832, 2012.

[36]    Yongduan Song, Frank L. Lewis, Marios Polycarpou, Danil Prokhorov, Dongbin Zhao, Editorial: new developments in neural network structures for signal processing, autonomous decision, and adaptive control, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 3, pp. 494 – 499, 2017.

[37]    Amir Hussain, Dacheng Tao, Jonathan Wu, Dongbin Zhao, “Editorial: computational intelligence for changing environments,” IEEE Computational Intelligence Magazine, Vol. 11, No. 10(4): 10-11, 2015. DOI: 10.1109/MCI.2015.24721192015.

[38]    Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao, Haibo He, “Editorial: computational energy management in smart grids”, Neurocomputing, Vol. 170: 267-269, 2015.

[39]    Xin Xu, Haibo He, Dongbin Zhao, Shiliang Sun, Lucian Busoniu, Simon X. Yang, “Editorial: machine learning with applications to autonomous systems”, Mathematical Problems in Engineering, 2015.

[40]    Dongbin Zhao*, Cesare Alippi, Derong Liu, Huaguang Zhang, “Editorial: Intelligent control and information processing,” Soft Computing, Vol. 17, No. 11, pp. 1967-1969, 2013.

[41]    Dongbin Zhao*, Yi Shen, Zhanshan Wang, Xiaolin Hu, “Data-based control, optimization, modeling and applications,” Neural Computing and Applications, vol.23, no. 7-8, pp. 1839–1842, 2013.

[42]    Huaguang Zhang*, Cesare Alippi, Dongbin Zhao, “Data-driven optimal algorithms and their applications to pattern recognition,” Neurocomputing, vol. 78, no. 1, 2012, pp. 1-2.



Patents

Over 30 Chinese invent patents have been authorized.

Conferences

Major Recent Conference Activities

[1]           The 24th International Conference on Neural Information Processing (ICONIP 2017), November 14-18, 2017, Guangzhou, China, Program Chair.

[2]           IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2017), Honolulu, Hawaii, Nov. 27- Dec. 1, 2017, Program Chair.

[3]           IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2016), Athens, Greece, Dec. 6-9, 2016, Program Chair.

[4]           IEEE World Congress on Computational Intelligence (WCCI 2016), Vancouver, Canada, July 25-29, 2016, Publicity Chair.

[5]           The 13th World Congress on Intelligent Control and Automation (WCICA 2016), Guilin, China, June 12–15, 2016, Program Co-Chair.

[6]           The 5th International Conference on Information Science and Technology (ICIST 2015), Changsha, China, April 24-26, 2015, Program Chair.

[7]           IEEE Symposiums Series on Computational Intelligence (SSCI 2014), Atlanta, US, Dec. 9-12, 2014, Poster Chair.

[8]           IEEE CIS Summer School on Automated Computational Intelligence, Beijing, July 5-11, 2014Chair.

[9]           IEEE World Congress on Computational Intelligence (WCCI 2014: IJCNN 2014FUZZ-IEEE 2014 and CEC2014), July 6-11, 2014, Beijing, Finance Chair.

[10]        4th International Conference on Intelligent Control and Information Processing, June 9-11, 2013, Beijing, China, Program Chair.


Collaboration

Professional Membership

[1]           2017.1-2018.12, IEEE Computational Intelligence Society (CIS) Beijing Chapter, Chair.

[2]           2015.1-2016.12, IEEE CIS Adaptive Dynamic Programming and Reinforcement Learning Technical Committee, Chair.

[3]           2015.1-2016.12, IEEE CIS Multimedia Committee, Chair.

[4]           2015.1-2015.12, IEEE CIS Travel Grant Subcommittee, Chair.

[5]           2013.1-2014.12, IEEE CIS Newsletter Subcommittee, Chair.

[6]           2013-, Secretary General, Computer Application Committee, Chinese Association of Automation.

[7]           2013-Senior member, Chinese Association of Automation.

[8]           2010.10-, Senior member, IEEE.

Editor Board

[1]           2014-, Associate Editor, IEEE Computational Intelligence Magazine.

[2]           2014-, Associate Editor, International Journal of Computational Intelligence and Pattern Recognition.

[3]           2012-, Associate Editor, IEEE Transactions on Neural Networks and Learning Systems.

[4]           2011-, Associate Editor, Cognitive Computation

Selected Guest Editors

[1]           2017, D. Zhao, D. Liu, F. L. Lewis, J. Principe, S.Squartini, “Deep Reinforcement Learning and Adaptive Dynamic Programming”, Special issue, IEEE Transactions on Neural Networks and Learning Systems.

[2]           2017, Yongduan Song, Frank L. Lewis, Marios Polycarpou, Danil Prokhorov, and Dongbin Zhao, “New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control” Special issue, IEEE Transactions on Neural Networks and Learning Systems.

[3]           2015, Amir Hussain, Dacheng Tao, Jonathan Wu and Dongbin Zhao, “Concept Drift in Biologically-Inspired Learning” Special Issue, IEEE Computational Intelligence Magazine.

[4]           2011, Tianyou Chai*, Zhongsheng Hou, Frank L. Lewis, Amir Hussain, Dongbin Zhao, Guest Editor, Special Issue on “Data-based optimization, control and modeling”, IEEE Transactions on Neural Networks

Students

已指导学生

田艺  硕士研究生  081101-控制理论与控制工程  

胡朝辉  硕士研究生  081101-控制理论与控制工程  

戴钰桀  博士研究生  081101-控制理论与控制工程  

苏永生  硕士研究生  081101-控制理论与控制工程  

张震  博士研究生  081101-控制理论与控制工程  

王滨  博士研究生  081101-控制理论与控制工程  

朱圆恒  博士研究生  081101-控制理论与控制工程  

王海涛  硕士研究生  081101-控制理论与控制工程  

夏中谱  博士研究生  081101-控制理论与控制工程  

张启超  博士研究生  081101-控制理论与控制工程  

吕乐  博士研究生  081101-控制理论与控制工程  

卜丽  博士研究生  081101-控制理论与控制工程  

陈亚冉  博士研究生  081101-控制理论与控制工程  

邵坤  博士研究生  081101-控制理论与控制工程  

李栋  博士研究生  081101-控制理论与控制工程  

现指导学生

唐振韬  博士研究生  081101-控制理论与控制工程  

卢毅  博士研究生  081101-控制理论与控制工程  

李浩然  博士研究生  081101-控制理论与控制工程  

刘民颂  硕士研究生  081101-控制理论与控制工程  

丁子祥  博士研究生  081203-计算机应用技术  

刘育琦  博士研究生  081101-控制理论与控制工程  

李伟凡  博士研究生  081104-模式识别与智能系统  

胡光政  博士研究生  081203-计算机应用技术  

李楠楠  博士研究生  081101-控制理论与控制工程  

王俊杰  博士研究生  081101-控制理论与控制工程  

Call For Papers

IJCNN2020