国际影响力
President, Asia Pacific Neural Networks Society, 2019
人工智能领域全球前2%榜单
主编，人工智能科学与工程，2024-现在
Editor-in-Chief, IEEE Systems, Man, and Cybernetics Magazine, 2023-present
Associate Editor, Journal of Artificial Intelligence and Soft Computing Research, 2024-present
Associate Editor, IEEE Transactions on Industrial Cyber-Physical Systems, 2023-present
Associate Editor, IEEE Systems, Man, and Cybernetics Letters, 2023-present
Associate Editor, IEEE/CAA Journal of Automatica Sinica, 2023-present
Associate Editor, Journal of Franklin Institute, 2022-present
Associate Editor, IEEE Transactions on Artificial Intelligence, 2022-present
Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence, 2022-present
Associate Editor, Discover Artificial Intelligence, 2021-present
Associate Editor, IEEE Transactions on Fuzzy Systems, 2021-present
Senior Editor, IEEE Access, 2022-present
Editorial Board Member, Mathematical Modelling and Control, 2020-present
Action Editor, Neural Networks, 2020-present
Associate Editor, Journal of Control and Decision, 2018-present
Associate Editor, IEEE Transactions on Cybernetics, 2017-2023
Editorial Board Member, Numerical Algebra, Control and Optimization, 2016-2023
Associate Editor, IEEE Transactions on Neural Networks and Learning Systems, 2013-2017
Associate Editor, Cognitive Computation, 2012-present
所获荣誉
Fellow, The World Academy of Sciences (TWAS)
Member, European Academy of Sciences and Arts (EASA)
Academician, International Academy for Systems and Cybernetic Sciences (IASCYS)
Fellow, Institute of Electrical and Electronics Engineers (IEEE)
Fellow, The International Association of Pattern Recognition (IAPR)
Fellow, Asia-Pacific Artificial Intelligence Association (AAIA)
2024 IEEE Transactions on Emerging Topics in Computational Intelligence Outstanding Paper Award for the paper: End-to-end detection-segmentation system for face labeling, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, 457-467, 2021
William J. McCalla ICCAD Ten Year Retrospective Most Influential Paper Award for the paper: Reduction and IR-drop Compensations Techniques for Reliable Neuromorphic Computing Systems, Proceeding of 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 63-74. 2023
The Association of Former Students University-Level Distinguished Achievement Award for Research (the highest honor bestowed to a faculty of Texas A&M University), Texas A&M University, USA, 2022
Dean’s Achievement Award, Texas A&M University at Qatar, Qatar, 2022
Distinguished Lecturer, IEEE Computational Intelligence Society, 2022-2024
Outstanding Achievement Award, Asia Pacific Neural Networks Society, 2021
Highly Cited Researcher, in Engineering and Computer Science two fields, Clarivate Analytics (Web of Science), 2019
长江讲座教授, 教育部，2019
Faculty Research Excellence Award, Texas A&M University at Qatar, 2015
Best Research Project Award for 2015 (project NPRP 4-1162-1-181, so far QNRF awarded this high honor to only 5 projects), Qatar National Research Fund, Qatar, 2015
Dean’s Fellow for Recognition of Faculty’s Excellence and Achievements, Texas A&M University at Qatar, Qatar, 2014
科研成果
H. Li, Q. Lv, G. Chen, T. Huang and Z. Dong, Distributed constrained optimization over unbalanced directed networks using asynchronous broadcast-based algorithm, IEEE Transactions on Automatic Control, vol. 66, 1102-1115, 2021
J. Li, C. Li, Y. Xu, Z. Dong, K. Wong and T. Huang, Noncooperative game-based distributed charging control for plug-in electric vehicles in distribution networks, IEEE Transactions on Industrial Informatics, vol. 14, 301-310, 2018
X. He, D. Ho, T. Huang, J. Yu, H. Abu-Rub and C. Li, Second-order continuous-time algorithms for economic power dispatch in smart grids, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 48, 1482-1492, 2018
H. Wang, T. Huang, X. Liao, H. Abu-Rub and G. Chen, Reinforcement learning for constrained energy trading games with incomplete information, IEEE Transactions on Cybernetics, vol. 47, 3404-3416, 2017
H. Wang, T. Huang, X. Liao, H. Abu-Rub and G. Chen, Reinforcement learning in energy trading game among smart microgrids, IEEE Transactions on Industrial Electronics, vol. 63, 5109 – 5119, 2016
