Wei Qing Lai
Distinguished Guest Professor
Department: Department of Engineering Science
Office: ITC-37
E-mail: qlwei@must.edu.mo

Academic Qualification

Ph.D. in Northeastern University

Master in Northeastern University

Bachelor in Northeastern University

 

Teaching Area

Optimal Control

Intelligent Control

Self-Learning Control

 

Research Area

Learning Control and Systems

Control Science and Control Engineering

Artificial Intelligence

 

Professional Services

Associate Editor, IEEE Transactions on Mobile Computing, since 2021

Associate Editor, IET Communications, since 2021

 

Working Experience

Nov. 2020 ~ present, Professor, Department of Engineering and Science, Faculty of Innovation Engineering, MUST

Mar. 2018 ~ present, Associate Director, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences

Oct.2016 ~ present, Professor, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences

Jan. 2014 ~ Feb. 2014, Visiting Scholar, University of Texas at Arlington, USA. UTA Research Institute. Visit Prof. Frank L. Lewis

Oct. 2012 ~ Sep. 2016, Associate Professor, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences

Jul. 2011 ~ Sep. 2012, Assistant Professor, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences

Feb. 2009 ~ Jun. 2011, Postdoctoral Fellow, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences

 

Academic Publication (selected)

专著

1.          魏庆来, 王飞跃(著). 强化学习. 北京: 清华大学出版社, 2021. ISBN: 978-7-30-288181-2

2.          刘禹,魏庆来(编著). 人工智能与人机博弈. 北京: 清华大学出版社, 2020. ISBN: 978-7-302-54990-

3.          Qinglai Wei, Ruizhuo Song, Benkai Li, Xiaofeng Lin, Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach. Berlin: Springer, 2018. ISBN: 978-981-10- 4079-5

4.          Qinglai Wei, Ruizhuo Song, and Qiuye Sun, Iterative Dynamic Programming Theory and Application. Beijing: Science Press, 2015. ISBN: 978-7-03-042869-1 (in Chinese) 魏庆来,宋睿卓,孙秋野,迭代自适应动态规划理论及应用。科学出版社,2015。ISBN: 978-7-03-042869-1

5.          Derong Liu, Qinglai Wei, Ding Wang, Xiong Yang, and Hongliang Li, Adaptive Dynamic Programming with Applications in Optimal Control. Berlin: Springer, 2016. ISBN: 978-3-319-50813-9

6.          Ruizhuo Song, Qinglai Wei, Qing Li, Adaptive Dynamic Programming: Single and Multiple Controllers. Berlin: Springer, 2019. ISBN: 978-981-13-1711-8

 

编著

1.          Fengyu Cong, Andrew Leung, and Qinglai Wei (Eds.), Advances in Neural Networks- ISNN2017 (Lecture Notes in Computer Science 10261). Berlin: Springer, 2016. ISBN: 978-3-319-59071-4

 

 

代表性论文 (第一作者论文列表)

1.          Qinglai Wei, Hongyang Li, Tao Li, and Fei-Yue Wang, “A novel data-based fault-tolerant control method for multicontroller linear systems via distributed policy iteration,” IEEE Transactions on Systems, Man, and Cybernetics: Systems , accept, 2022.

2.          Qinglai Wei, Yutian Yan, Jie Zhang, Jun Xiao, and Cong Wang, “A self-attention based deep reinforcement learning approach for AGV dispatching systems,” IEEE Transactions on Neural Networks and Learning Systems , accept, 2022.

3.          Qinglai Wei, Zesheng Yang, Huaizhong Su, Lijian Wang, “Online adaptive dynamic programming for optimal self-learning control of VTOL aircraft systems with disturbances” IEEE Transactions on Automation Science and Engineering , accept, 2022.

4.          Qinglai Wei, Zesheng Yang, Huaizhong Su, and Lijian Wang, “Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems,” Neurocomputing , accept, 2022.

5.          Qinglai Wei, Xin Wang, Gang Xiong, Yu Liu. “Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems.” Expert Systems with Applications, vol. 207, pp. 117883, 2022. DoI: 10.1016/j.eswa.2022.117883

6.          Qinglai Wei, Yugu Li, Jie Zhang, and Fei-Yue Wang, “VGN: Value decomposition with graph attention network for multi-agent reinforcement learning,” IEEE Transactions on Neural Networks and Learning Systems , accept, 2022. DOI: 10.1109/TNNLS.2022.3172572

7.          Qinglai Wei, Hongyang Li, and Fei-Yue Wang, “A novel parallel control method for continuous- time linear output regulation with disturbances,” IEEE Transactions on Cybernetics , accept, 2021.DOI: 10.1109/TCYB.2021.3128231

8.          Qinglai Wei, Jingwei Lu, Tianmin Zhou, Xiang Cheng, and Fei-Yue Wang, “Eventtriggered near- optimal control of discrete-time constrained nonlinear systems with application to a boiler-turbine system,” IEEE Transactions on Industrial Informatics , accept, 2021. DOI: 10.1109/TII.2021.3116084

9.          Qinglai Wei, Yujia Liu, Jingwei Lu, Jun Ling, Zhenhua Luan, and Mingliang Chen, “A new integral critic learning for optimal tracking control with applications to boiler-turbine systems,” Optimal Control, Applications and Methods , accept, 2021.

10.      Qinglai Wei, Liao Zhu, Tao Li, and Derong Liu, “A new approach to finite-horizon optimal control for discrete-time affine nonlinear systems via a pseudo-linear method,” IEEE Transactions on Automatic Control , vol. 67, no. 5, pp. 2610–2617, May 2022.

11.      Qinglai Wei, Liyuan Han, and Tielin Zhang, “Spiking adaptive dynamic programming based on poisson process for discrete-time nonlinear systems,” IEEE Transactions on Neural Networks and Learning Systems , vol. 33, no. 5, pp. 1846–1856, May 2022.

12.      Qinglai Wei, Zehua Liao, and Guang Shi, “Generalized actor-critic learning optimal control in smart home energy management,” IEEE Transactions on Industrial Informatics , vol. 17, no. 10, pp. 6641– 6623, Oct. 2021.

13.      Qinglai Wei, Liao Zhu, Ruizhuo Song, Pinjia Zhang, Derong Liu, and Jun Xiao, “Model-free adaptive optimal control for unknown nonlinear multiplayer nonzero-sum game/,” IEEE Transactions on Neural Networks and Learning Systems , vol. 33, no. 2, pp. 879–891, Feb. 2022.

14.      Qinglai Wei, Tao Li, and Derong Liu, “Learning control for air conditioning systems via human expressions,” IEEE Transactions on Industrial Electronics , vol. 68, no. 8, pp. 7662–7671, Aug. 2021.

15.      Qinglai Wei, Lingxiao Wang, Jingwei Lu, and Fei-Yue Wang, “Discrete-time self-learning parallel control,” IEEE Transactions on Systems, Man, and Cybernetics: Systems , vol. 52, no. 1, pp. 192– 204, Jan. 2022.

16.      Qinglai Wei, Hongyang Li, Xiong Yang, and Haibo He, “Continuous-time distributed policy iteration for multicontroller nonlinear systems,” IEEE Transactions on Cybernetics, vol. 51, no. 5, pp. 2372–2383, May 2021.

17.      Qinglai Wei, Xin Wang, Xiangnan Zhong, and Naiqi Wu, “Consensus control of leaderfollowing multi-agent systems in directed topology with heterogeneous disturbances,” IEEE/CAA Journal of Automatica Sinica , vol. 8, no. 2, pp. 423–431, Feb. 2021.

18.      Qinglai Wei, Zehua Liao, Ruizhuo Song, Pinjia Zhang, Zhuo Wang, and Jun Xiao, “Selflearning optimal control for ice storage air conditioning systems via data-based adaptive dynamic programming,” IEEE Transactions on Industrial Electronics , vol. 68, no. 4, pp. 3599–3608, Apr. 2021.

19.      Qinglai, Wei, Lingxiao Wang, Yu Liu, and Marios M. Polycarpou, “Optimal elevator group control via deep asynchronous actor-critic learning,” IEEE Transactions on Neural Networks and Learning Systems , vol. 31, no. 12, pp. 5245–5256, 2020.

20.      Qinglai Wei, Hongyang Li, and Fei-Yue Wang, “Parallel control for continuous-time linear systems: A case study,” IEEE/CAA Journal of Automatica Sinica , vol. 7, no.4, pp. 919–926, July 2020.

21.      Qinglai Wei, Zehua Liao, Zhanyu Yang, Benkai Li, and Derong Liu, “Continuous-time timevarying policy iteration,” IEEE Transactions on Cybernetics , vol. 50, no. 12, pp. 4958–4971, Dec. 2020.

22.      Qinglai Wei, Ruizhuo Song, Zehua Liao, Benkai Li, and Frank L. Lewis, “Discrete-time impulsive adaptive dynamic programming,” IEEE Transactions on Cybernetics , vol. 50, no. 10, pp. 4293–4306, Oct. 2020. (SCI)

23.      Qinglai Wei, Derong Liu, and Hanquan Lin, “Value iteration adaptive dynamic programming for optimal control of discrete-time nonlinear systems,” IEEE Transactions on Cybernetics , vol. 46, no. 3, pp. 840–853, Mar. 2016. (SCI)

24.      Qinglai Wei, Ruizhuo Song, and Pengfei Yan, “Data-driven zero-sum neuro-optimal control for a class of continuous-time unknown nonlinear systems with disturbance using ADP,” IEEE Transactions on Neural Networks and Learning Systems , vol. 27, no. 2, pp. 444–458, Feb. 2016. (SCI)

25.      Qinglai Wei, Derong Liu, and Xiong Yang, “Infinite horizon self-learning optimal control of nonaffine discrete-time nonlinear systems,” IEEE Transactions on Neural Networks and Learning Systems , vol. 26, no. 4, pp. 866–879, Apr. 2015. (SCI)

26.      Qinglai Wei, Derong Liu, and Guang Shi, “A novel dual iterative Q-learning method for optimal battery management in smart residential environments,” IEEE Transactions on Industrial Electronics , vol. 62, no. 4, pp. 2509–2518, Apr. 2015. (SCI)

27.      Qinglai Wei, Feiyue Wang, Derong Liu, and Xiong Yang, “Finite-approximation-error based discrete-time iterative adaptive dynamic programming,” IEEE Transactions on Cybernetics , vol. 44, no. 12, pp. 2820–2833, Dec. 2014. (SCI)

28.      Qinglai Wei, Frank L. Lewis, Guang Shi, and Ruizhuo Song, “Error-tolerant iterative adaptive dynamic programming for optimal renewable home energy scheduling and battery management,” IEEE Transactions on Industrial Electronics , vol. 64, no. 12, pp. 9527–9537, 2017. (SCI)

29.      Qinglai Wei, Derong Liu, Frank L. Lewis, Yu Liu, and Jie Zhang, “Mixed iterative adaptive dynamic programming for optimal battery energy control in smart residential microgrids,” IEEE Transactions on Industrial Electronics , vol. 64, no. 5, pp. 4110–4120, May 2017. (SCI)

30.      Qinglai Wei, Guang Shi, Ruizhuo Song, and Yu Liu, “Adaptive dynamic programmingbased optimal control scheme for energy storage systems with solar renewable energy,” IEEE Transactions on Industrial Electronics , vol. 64, no. 7, pp. 5468–5478, Jul. 2017. (SCI)

31.      Qinglai Wei and Derong Liu, “Data-driven neuro-optimal temperature control of water gas shift reaction using stable iterative adaptive dynamic programming,” IEEE Transactions on Industrial Electronics , vol. 61, no. 11, pp. 6399–6408, Nov. 2014. (SCI)

32.      Qinglai Wei, Derong Liu, Qiao Lin, and Ruizhuo Song, “Adaptive dynamic programming for discrete-time zero-sum games,” IEEE Transactions on Neural Networks and Learning Systems , vol. 29, no. 4, pp. 957–969, Apr. 2018. (SCI)

33.      Qinglai Wei, Frank L. Lewis, Derong Liu, Ruizhuo Song, and Hanquan Lin, “Discrete-time local value iteration adaptive dynamic programming: Convergence analysis,” IEEE Transactions on Systems, Man, and Cybernetics: Systems , vol. 48, no. 6, pp. 875–891, Jun. 2018. (SCI)

34.      Qinglai Wei, Frank L. Lewis, Qiuye Sun, Pengfei Yan, and Ruizhuo Song, “Discrete-time deterministic Q -learning: A novel convergence analysis,” IEEE Transactions on Cybernetics , vol. 47, no. 5, pp. 1224–1237, May 2017. (SCI)

35.      Qinglai Wei, Derong Liu, Guang Shi, and Yu Liu, “Multibattery optimal coordination control for home energy management systems via distributed iterative adaptive dynamic programming,” IEEE Transactions on Industrial Electronics , vol. 62, no. 7, pp. 4203–4214, Jul. 2015. (SCI)

36.      Qinglai Wei and Derong Liu, “A novel iterative θ-Adaptive dynamic programming for discrete-time nonlinear systems,” IEEE Transactions on Automation Science and Engineering , vol. 11, no. 4, pp. 1176–1190, Oct. 2014. (SCI)

37.      Qinglai Wei and Derong Liu, “Adaptive dynamic programming for optimal tracking control of unknown nonlinear systems with application to coal gasification,” IEEE Transactions on Automation Science and Engineering , vol. 11, no. 4, pp. 1020–1036, Oct. 2014. (SCI)

38.      Qinglai Wei, Derong Liu, and Qiao Lin, “Discrete-time local iterative adaptive dynamic programming: Terminations and admissibility analysis,” IEEE Transactions on Neural Networks and Learning Systems , vol. 28, no. 11, pp. 2490–2502, Nov. 2017. (SCI)

39.      Qinglai Wei, Derong Liu, Qiao Lin, and Ruizhuo Song, “Discrete-time optimal control via local policy iteration adaptive dynamic programming,” IEEE Transactions on Cybernetics , vol. 47, no. 10, pp. 3367–3379, Oct. 2017. (SCI)

40.      Qinglai Wei, Benkai Li, and Ruizhuo Song, “Discrete-time stable generalized self-learning optimal control with approximation errors,” IEEE Transactions on Neural Networks and Learning Systems , vol. 29, no. 4, pp. 1226–1238, Apr. 2018. (SCI)

41.      Qinglai Wei, Derong Liu, Yu Liu, and Ruizhuo Song, “Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming,” IEEE/CAA Journal of Automatica Sinica , vol. 4, no. 2, pp. 168–176, Apr. 2017. (SCI)

42.      Qinglai Wei, Nikola Kasabov, Marios Polycarpou, Zhigang Zeng, “Deep learning neural networks: Methods, systems, and applications,” Neurocomputing , vol. 396, pp. 130–132, Apr. 2020.

43.      Qinglai Wei, Derong Liu, and Frank L. Lewis, “Optimal distributed synchronization control for continuous-time heterogeneous multi-agent differential graphical games,” Information Sciences , vol. 317, pp. 96–113, Oct. 2015. (SCI)

44.      Qinglai Wei and Derong Liu, “A novel policy iteration based deterministic Q-learning for discrete- time nonlinear systems,” Science China Information Sciences, vol. 58, no. 12, pp 1–15, Dec. 2015. (SCI)

45.      Qinglai Wei, Ruizhuo Song, and Qiuye Sun, “Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm,” Neurocomputing, vol. 168, pp. 520–528, Nov. 2015. (SCI)

46.      Qinglai Wei and Derong Liu, “Neural-network-based adaptive optimal tracking control scheme for discrete-time nonlinear systems with approximation errors,” Neurocomputing , vol. 149, no. 3 pp. 106–115, Feb. 2015. (SCI)

47.      Qinglai Wei, Ruizhuo Song, Qiuye Sun, and Wendong Xiao, “Off-policy IRL optimal tracking control for continuous-time chaotic systems,” Chinese Physics B, vol. 24, no. 9, pp. 090504(6), 2015. (SCI)

48.      Qinglai Wei, Derong Liu, and Yancai Xu, “Policy iteration optimal tracking control for chaotic systems by adaptive dynamic programming approach,” Chinese Physics B, vol. 24, no. 3 pp. 030502- 1–9, Mar. 2015. (SCI)

49.      Qinglai Wei, Derong Liu, and Yancai Xu, “Neuro-optimal tracking control for a class of discrete- time nonlinear systems via generalized value iteration adaptive dynamic programming approach,” Soft Computing , vol. 20, no. 2, pp. 697–706, Feb. 2016. (SCI)

50.      Qinglai Wei and Derong Liu, “Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems,” Neural Computing & Applications , vol. 24, no. 6, pp. 1355–1367, May 2014. (SCI)

51.      Qinglai Wei, Ding Wang, and Dehua Zhang, “Dual iterative adaptive dynamic programming for a class of discrete-time nonlinear systems with time-delays,” Neural Computing & Applications , vol. 23, no. 7–8, pp. 1851–1863, Dec. 2013. (SCI)

52.      Qinglai Wei and Derong Liu, “Numerical adaptive learning control scheme for discrete-time non-linear systems,” IET Control Theory & Applications , vol. 7, no. 11, pp. 1472–1486, July 2013. (SCI).

53.      Qinglai Wei and Derong Liu, “An iterative \epsilon-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state,” Neural Networks , vol. 32, pp. 236–244, August 2012. (SCI)

54.      Qinglai Wei, Huaguang Zhang, and Jing Dai, “Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions”, Neurocomputing , vol.72, no.7–9, pp.1839–1848, 2009. (SCI)

55.      Qinglai Wei, Huaguang Zhang, and LiLi Cui, “Data-based optimal control for discrete-time zero-sum games of 2-d systems using adaptive critic designs”, ACTA Automatica Sinica, vol.35, no.6, pp. 682–692, 2009. (EI)

56.      Qinglai Wei, Huaguang Zhang, Derong Liu and Yan Zhao, “An optimal control scheme for a class of discrete-time nonlinear systems with time delays using adaptive dynamic programming,” ACTA Automatica Sinica , vol. 36, no.1, pp. 121–129, Jan 2010. (EI)

57.      Qinglai Wei and Derong Liu, “Finite horizon optimal control of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming,” Journal of Control Theory and Applications , vol. 9, no. 3, pp. 381–390, 2011. (EI)

57.

 

Research Grants

2022.09 -- 2025.12         PI, “Integrated Modeling and Self-Optimal Control of Incomplete Information for Building and Distributed Energy Systems,” Science and Technology Development Fund (FDCT), Macao Funding Scheme for Key R&D Projects, FDCT-22-009-MISE, 2,221,000 MOP

2020.07 -- 2024.12         PI, “Self-Learning Optimization Control of Urban Energy Management System Based on Edge Computing,” National Key Research and Development Plan "Strategic Science and Technology Innovation Cooperation" Key Special Project, 3,000,000 CNY.

2021.01 -- 2022.12         PI, “Two-Person Zero-Sum Game Theory Based on Virtual-Real Interaction,” Chinese Academy of Sciences Guidance Sub-Project (A Class) , 3,600,000CNY.

2021.01 -- 2024.12         PI, “Multi-Level Self-Learning Collaborative Optimal Control of Smart CoalFired Power Generation Systems,” National Natural Science Foundation of China (62073321),

2021.12 -- 2022.12         PI, “Development of Self-Tuning Software for Power Generation Process Control Parameters Based on Self-Learning Optimization Algorithm,” North China Electric Power Research Institute Project, 475,000CNY.

2020.01 -- 2020.12         PI, “2020 Summer School on AI and CI Technologies for Industry,” 2020 IEEE

Computational Intelligence Society Fund, 5000$.

2020.01 -- 2024.12         PI, “Adaptation and Innovation Properties of Complex Systems”, PreResearch Project Chinese Academy of Sciences, 5,000,000 CNY.

2017.09 -- 2017.12         PI, China Association for Science and Technology Foundation for the

International Organization Affairs, 20,000 CNY.

2017.12 -- 2018.12         PI, “Data-Based Iterative Adaptive Dynamic programming for Nonlinear

Systems”, China Scholarship Council (CSC) Foundation (201704910282), 21,600 Dollars.

2018.01 -- 2020.12         PI, “Self-Learning Optimal Control,” The National Science Fund for Outstanding

Young Scholars (61722312), 1,300,000 CNY.

2017.01 -- 2017.12         PI, “The 24th International Conference on Neural Information Processing,”

International Conference Support Foundation of Chinese Academy of Sciences (Y7S5031F31),

2014.01 -- 2017.12         PI, “Data-Driven Self-Learning Optimal Control for Complex Nonlinear Systems,”

National Natural Science Foundation of China (61374105), 800,000 CNY.

2010.01 -- 2012.12         PI, “Nonlinear Differential Games Based on Adaptive Dynamic Programming,”

National Natural Science Foundation of China (60904037), 190,000 CNY.

2013.01 -- 2015.06         PI, “Data-Based Iterative Dynamic Programming Optimal Control for Complex

Nonlinear Systems,” Beijing Natural Science Foundation (4132078), 140,000 CNY.

2011.07 -- 2012.07          PI, “Optimal Control for Time-Delay Nonlinear Systems Based on Adaptive

Dynamic Programming,” China Postdoctoral Science Foundation (201104162), 140,000 CNY.

2015.01 -- 2017.12         PI, “Shuang-Chuang Talent Foundation of Jiangsu,” Jiangsu Province China,

500,000 CNY.

2013.01 -- 2015.12         PI, “Huai-Shang Talent Foundation of Huai’an,” Jiangsu Province China, 300,000

2012.01 -- 2013.12         PI, “Theory and Applications of Adaptive Dynamic Programming for Nonlinear

Systems,” Outstanding Youth Scholar Foundation of The State Key Laboratory of Management and

Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, 60,000 CNY.

2016.01 -- 2016.12         PI, “Data-Based Self-Learning Optimal Control for Nonlinear Systems Via Adaptive Dynamic Programming,” Special Research Foundation of The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, 440,000

2014.01 -- 2014.12         PI, “Research of the Analysis Tool Box for Building Energy Consumptions,”

Qinhuangdao Zhong Ke Bai Jie Electronic Information Technology Co., 150,000 CNY.

2015.12 -- 2016.12         PI, “Research of the System for Energy Consumption Data Analysis Report,”

Qinhuangdao Zhong Ke Bai Jie Electronic Information Technology Co., 500,000 CNY.

 

Professional Certification and Awards

Natural Science Award (First Prize), Chinese Association of Automation (CAA), Ranking 1/4, 2022

China Association of Invention, Innovation Award First Prize, Ranking 1/6, 2021

2020 International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS 2020) Zadeh Best Paper Award, Ranking 1/4, 2020

Clarivate Analytic Global Highly Cited Scholar, 2019

IEEE/CAA Journal of Automatica Sinica, Best Paper Award, 2019

Acta Automatica Sinica, Associate Editor Award, 2018

IEEE/CAA Journal of Automatica Sinica Outstanding Associate Editor Award, 2018

IEEE System, Man, and Cybernetics Society, Andrew P. Sage Best Transactions Paper Award,

IEEE Transactions on Neural Network and Learning Systems Outstanding Paper Award, 2018

Clarivate Analytic Global Highly Cited Scholar, 2018

Acta Automatica Sinica Outstanding Associate Editor Award, 2018

IEEE/CAA Journal of Automatica Sinica Outstanding Associate Editor Award, 2018

Yang Jiachi Science and Technology Awards, Chinese Association of Automation (CAA), 2017

Natural Science Award (First Prize), Chinese Association of Automation (CAA), Ranking 2/3, 2017

National Natural Science Foundation for Outstanding Youth Scholars of China, 2017

Young Scientist Award, Chinese Association of Automation (CAA), 2017

Best Paper Award, 2017 IEEE 6th Data Driven Control and Learning Systems Conference

Young Researcher Award, Asia Pacific Neural Network Society (APNNS), 2016

Best Paper Award, The 27th Chinese Control and Decision, Conference (CCDC), 2015

Beijing Science and Technology Award (Third Prize), Ranking 2/5, 2015

Jiangsu Shuang-Chuang Talents, Jiangsu Province, China, 2014

Huai-Shang Outstanding Scholar of Huai’an, Jiangsu Province, China, 2013

10th World Congress on Intelligent Control and Automation (WCICA 2012), Best Theoretical Paper Award Finalist, 2012

Best Paper Award, Acta Automatica Sinica, 2011

Director Awards, 2011 and 2013, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences


Professional Society Membership

1) 2022.01 ~ present       IEEE Transactions on Intelligent Vehicles, Associate Editor

2) 2021.03 ~ present       Neurocomputing, Associate Editor-in-Chief (AEIC)

3) 2021.02 ~ present       IEEE/CAA Journal of Automatica Sinica, Deputy Editor-in-Chief (DEIC)

4) 2021.01 ~ present       International Journal of Intelligent Control and Systems, Deputy Editor-inChief (DEIC)

5) 2020.10 ~ present       《自动化学报》,副主编

6) 2021.02 ~ present       IEEE Transactions on Artificial Intelligence, Associate Editor