Selected Publications
Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto Sangiovanni-Vincentelli, and Chen Lv, “Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
(IEEE Spectrum Magazine: Neural Reactions to Fear Make AI Drive More Safely & ESI Highly Cited Paper)Xiangkun He, Jianye Hao, Xu Chen, Jun Wang, Xuewu Ji, and Chen Lv, “Robust Multi-Objective Reinforcement Learning Considering Environmental Uncertainties,” IEEE Transactions on Neural Networks and Learning Systems, 2024.
Xiangkun He, Baichuan Lou, Haohan Yang, and Chen Lv, “Robust decision making for autonomous vehicles at highway on-ramps: A constrained adversarial reinforcement learning approach,” IEEE Transactions on Intelligent Transportation Systems, 2022.
Xiangkun He, Wenhui Huang and Chen Lv, “Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations,” Transportation Research Part C: Emerging Technologies, 2024.
Xiangkun He and Chen Lv, “Toward personalized decision making for autonomous vehicles: A constrained multi-objective reinforcement learning technique,” Transportation Research Part C: Emerging Technologies, 2023.
Xiangkun He, Wenhui Huang and Chen Lv, “Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees,” Engineering, 2023.
(The Official Journal of the Chinese Academy of Engineering)Xiangkun He, Haohan Yang, Zhongxu Hu, and Chen Lv, “Robust lane change decision making for autonomous vehicles: An observation adversarial reinforcement learning approach,” IEEE Transactions on Intelligent Vehicles, 2022.
(100+ Citations & ESI Highly Cited Paper)Xiangkun He, Yulong Liu, Chen Lv, Xuewu Ji, and Yahui Liu, “Emergency steering control of autonomous vehicle for collision avoidance and stabilisation,” Vehicle system dynamics, 2019.
(100+ Citations)Xiangkun He and Chen Lv, “Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning,” IEEE Vehicular Technology Magazine, 2023.
Xiangkun He, Zhongxu Hu, Haohan Yang, and Chen Lv, “Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning,” Neurocomputing, 2023.
Xiangkun He and Chen Lv, “Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach,” IEEE/CAA Journal of Automatica Sinica, 2023.
Xiangkun He and Chen Lv, “Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach,” IEEE Transactions on Artificial Intelligence, 2023.
Xiangkun He, Chen Lv, Xuewu Ji, and Yahui Liu, “Emergency Collision Avoidance Decision-making for Autonomous Vehicles: A Model-based Reinforcement Learning Approach,” in 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI), 2022.
(Best Paper Runner-Up Award)Xiangkun He and Chen Lv, “Towards safe autonomous driving: Decision making with observation-robust reinforcement learning,” Automotive Innovation, 2023.
(Invited Paper)Xuewu Ji, Xiangkun He, Chen Lv, Yahui Liu, and Jian Wu, “Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits,” Control Engineering Practice, 2018.
(200+ Citations)
Please see my Google Scholar for a full list of publications.