Xiangkun He

According to our database, Xiangkun He authored at least 32 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Predictive Risk-Aware MARL-Based Cooperative Driving Strategy for CAVs in Highly Interactive Driving Environments.

Lin Li, Shuo Cheng, Xiangkun He, Chen Lv

IEEE Trans. Intell. Transp. Syst., June, 2026

Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving.

Xinyu Zeng, Xiangkun He, Lei Tao, Chen Lv, Hong Cheng

CoRR, May, 2026

PCFusion: a parallel multi-scale feature extraction and contrastive optimization framework for camera-LiDAR 3D object detection.

Dongxuan Xie, Youkang Zhang, Shilong Xu, Shufan Bi, Nan Wang, Xiangkun He

J. Supercomput., April, 2026

Dual-Interaction-Aware Cooperative Control Strategy for Alleviating Mixed Traffic Congestion.

Zhengxuan Liu, Yuxin Cai, Yijing Wang, Xiangkun He, Chen Lv, Zhiqiang Zuo

CoRR, March, 2026

Experimental and theoretical investigation of terahertz channel propagation through vehicle windows.

Xiangkun He, Jiacheng Liu, Yue Su, Da Li, Jiayuan Cui, Jiabiao Zhao, Mingxia Zhang, Wenbo Liu, Fei Song, Jianjun Ma

Phys. Commun., 2026

Long time series prediction of milling force via a hybrid multi neuro-network-based algorithm.

Meng Liu, Hui Xie, Xiangkun He, Wencheng Pan, Fengling Han, Guangxian Li, Songlin Ding

Eng. Appl. Artif. Intell., 2026

2025

Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties.

Xiangkun He, Jianye Hao, Xu Chen, Jun Wang, Xuewu Ji, Chen Lv

IEEE Trans. Neural Networks Learn. Syst., April, 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, April, 2025

Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model.

Lie Yang, Haohan Yang, Xiangkun He, Wenhui Huang, Chen Lv

Knowl. Based Syst., 2025

2024

Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration.

Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles.

Jingda Wu, Haohan Yang, Lie Yang, Yi Huang, Xiangkun He, Chen Lv

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation.

Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv

IEEE Trans. Intell. Transp. Syst., February, 2024

Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach.

Xiangkun He, Chen Lv

IEEE Trans. Artif. Intell., January, 2024

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.

Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Personalized robotic control via constrained multi-objective reinforcement learning.

Xiangkun He, Zhongxu Hu, Haohan Yang, Chen Lv

Neurocomputing, January, 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, Peisong Diao

Eng. Appl. Artif. Intell., January, 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

Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles.

Hao Chen, Xiangkun He, Shuo Cheng, Chen Lv

CoRR, 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, Wei-Yun Yau, Chen Lv

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Transformer-based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation.

Yuxin Cai, Xiangkun He, Hongliang Guo, Wei-Yun Yau, Chen Lv

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning.

Xiangkun He, Chen Lv

IEEE Veh. Technol. Mag., September, 2023

Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach.

Xiangkun He, Chen Lv

IEEE CAA J. Autom. Sinica, May, 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., April, 2023

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., January, 2023

2022

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.

Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Polar Codes: Encoding/Decoding and Rate-Compatible Jointly Design for HARQ System.

Qiaoli Zeng, Quan Zhou, Xiangkun He, Youming Sun, Xiangcheng Li, Haiqiang Chen

Intell. Converged Networks, 2021

Connected Autonomous Vehicle Platoon Control Through Multi-agent Deep Reinforcement Learning.

Guangfei Xu, Bing Chen, Guangxian Li, Xiangkun He

Proceedings of the Broadband Communications, Networks, and Systems, 2021

2020

A Robust Guiding Torque Control Method for Automatic Steering Using LMI Algorithm.

Guangtong Bai, Chunjiang Bao, Jian Wu, Dexi Wu, Junda Zhang, Xiangkun He

IEEE Access, 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

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Conditional Wasserstein Auto-Encoder for Interactive Vehicle Trajectory Prediction.

Cong Fei, Xiangkun He, Sadahiro Kawahara, Shirou Nakano, Xuewu Ji

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2018

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

2017

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

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017