A linear time-varying MPC method for vehicle path-following assistance based on steering torque. - Kaiming Yang; Yahui Liu; Yulong Liu; Xiangkun He; Xuewu Ji (IECON, 2017)

Interactive Control Paradigm-Based Robust Lateral Stability Controller Design for Autonomous Automobile Path Tracking With Uncertain Disturbance: A Dynamic Game Approach. - Xuewu Ji; Yulong Liu; Xiangkun He; Kaiming Yang; Xiaoxiang Na; Chen Lv; Yahui Liu (IEEE Trans. Veh. Technol., 2018)

Conditional Wasserstein Auto-Encoder for Interactive Vehicle Trajectory Prediction. - Cong Fei; Xiangkun He; Sadahiro Kawahara; Shirou Nakano; Xuewu Ji (ITSC, 2020)

Multi-objective Longitudinal Decision-making for Autonomous Electric Vehicle: A Entropy-constrained Reinforcement Learning Approach. - Xiangkun He; Cong Fei; Yulong Liu; Kaiming Yang; Xuewu Ji (ITSC, 2020)

A Robust Guiding Torque Control Method for Automatic Steering Using LMI Algorithm. - Guangtong Bai; Chunjiang Bao; Jian Wu 013; Dexi Wu; Junda Zhang; Xiangkun He (IEEE Access, 2020)

Connected Autonomous Vehicle Platoon Control Through Multi-agent Deep Reinforcement Learning. - Guangfei Xu; Bing Chen; Guangxian Li; Xiangkun He (BROADNETS, 2021)

Polar Codes: Encoding/Decoding and Rate-Compatible Jointly Design for HARQ System. - Qiaoli Zeng; Quan Zhou; Xiangkun He; Youming Sun; Xiangcheng Li 001; Haiqiang Chen (Intell. Converged Networks, 2021)

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. - Jingda Wu; Wenhui Huang 001; Niels de Boer; Yanghui Mo; Xiangkun He; Chen Lv (ITSC, 2022)

Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach. - Xiangkun He; Haohan Yang; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach. - Xiangkun He; Baichuan Lou; Haohan Yang; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach. - Xiangkun He; Chen Lv (IEEE CAA J. Autom. Sinica, 2023)

Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning. - Xiangkun He; Chen Lv (IEEE Veh. Technol. Mag., 2023)

Transformer-based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation. - Yuxin Cai; Xiangkun He; Hongliang Guo; Wei-Yun Yau; Chen Lv (IROS, 2024)

Interaction-Aware Hierarchical Representation of Multi-Vehicle Reinforcement Learning for Cooperative Control in Dense Mixed Traffic. - Yuxin Cai; Zhengxuan Liu; Xiangkun He; Zhiqiang Zuo 001; Wei-Yun Yau; Chen Lv (ITSC, 2024)

Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles. - Hao Chen 108; Xiangkun He; Shuo Cheng; Chen Lv (CoRR, 2024)

Terahertz channel modeling based on surface sensing characteristics. - Jiayuan Cui; Da Li; Jiabiao Zhao; Jiacheng Liu; Guohao Liu; Xiangkun He; Yue Su; Fei Song; Peian Li; Jianjun Ma (Nano Commun. Networks, 2024)

Research on state-parameter estimation of unmanned Tractor - A hybrid method of DEKF and ARBFNN. - Guangfei Xu; Meizhou Chen; Xiangkun He; Yulong Liu; Jian Wu 013; Peisong Diao (Eng. Appl. Artif. Intell., 2024)

Personalized robotic control via constrained multi-objective reinforcement learning. - Xiangkun He; Zhongxu Hu; Haohan Yang; Chen Lv (Neurocomputing, 2024)

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. - Xiangkun He; Jingda Wu; Zhiyu Huang; Zhongxu Hu; Jun Wang 012; Alberto L. Sangiovanni-Vincentelli; Chen Lv (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach. - Xiangkun He; Chen Lv (IEEE Trans. Artif. Intell., 2024)

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation. - Wenhui Huang 001; Yanxin Zhou; Xiangkun He; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles. - Jingda Wu; Haohan Yang; Lie Yang; Yi Huang 038; Xiangkun He; Chen Lv (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration. - Wenhui Huang 001; Cong Zhang; Jingda Wu; Xiangkun He; Jie Zhang; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model. - Lie Yang; Haohan Yang; Xiangkun He; Wenhui Huang 001; Chen Lv (Knowl. Based Syst., 2025)

CL-CoTNav: Closed-Loop Hierarchical Chain-of-Thought for Zero-Shot Object-Goal Navigation with Vision-Language Models. - Yuxin Cai; Xiangkun He; Maonan Wang; Hongliang Guo; Wei-Yun Yau; Chen Lv (CoRR, 2025)

Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties. - Xiangkun He; Jianye Hao; Xu Chen 017; Jun Wang 012; Xuewu Ji; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2025)