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个人简介
Teng Liu (Member, IEEE) received the B.S. degree in mathematics and the Ph.D. degree in automotive engineering from the Beijing Institute of Technology (BIT), Beijing, China, in 2011 and 2017, respectively. His Ph.D. dissertation, under the supervision of Prof. Fengchun Sun, was entitled Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles.
He was a Research Fellow with Vehicle Intelligence Pioneers Ltd., Qingdao, Shandong, China, from 2017 to 2018. He was a Post-Doctoral Fellow with the Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada, from 2018 to 2020. He is currently a Professor with the Department of Automotive Engineering, Chongqing University, Chongqing, China. He has more than eight years of research and working experience in renewable vehicles and connected autonomous vehicles. His current research focuses on reinforcement learning (RL)-based energy management in hybrid electric vehicles, RL-based decision making for autonomous vehicles, and cyber-physical-social systems (CPSS)-based parallel driving. He has published over 40 SCI papers and 15 conference papers in these areas.
Dr. Liu is also a member of IEEE Vehicular Technology Society (VTS), IEEE Intelligent Transportation Systems (ITS), IEEE Industrial Electronics Society (IES), IEEE Transportation Electrification Community (TEC), and IEEE/Chinese Association of Automation (CAA). He received the Merit Student of Beijing in 2011, the Teli Xu Scholarship (Highest Honor) of BIT in 2015, the “Top 10” in the 2018 IEEE VTS Motor Vehicle Challenge, and the Sole Outstanding Winner in the 2018 ABB Intelligent Technology Competition. He is the Workshop Co-Chair of the 2018 IEEE Intelligent Vehicles Symposium (IV 2018). He has been a reviewer in multiple SCI journals, selectively including IEEE Transactions on Industrial Electronics, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Industrial Informatics, and Advances in Mechanical Engineering.
研究兴趣
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IEEE Trans. Veh. Technol.no. 6 (2024): 7812-7825
Tumor Discoveryno. 0 (2024)
BIOINFORMATICSno. 1 (2024)
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2024): 106-128
Xu Pan, Xin Li, Liang Dong,Teng Liu, Min Zhang,Lining Zhang,Xiyuan Zhang, Lingjuan Huang, Wensheng Shi, Hongyin Sun, Zhaoyu Fang, Jie Sun,
Nature (2024)
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric VehiclesSynthesis Lectures on Advances in Automotive Technologypp.27-41, (2019)
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