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Xiangkun He

University of Electronic Science and Technology of China
H-index:22
Citation Count:1,949
Views:0

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A Dual-Aligned SAC Approach With Adaptive Risk Threshold for Safe Motion Planning of Autonomous Driving

具有自适应风险阈值的双对齐SAC方法用于自动驾驶的安全运动规划

IEEE Transactions on Intelligent Transportation Systems
IF8.4
2026-08-030
PRE
Xin Cheng; Zhenjun Qiu; Zhidong Wang; Xiangkun He; Jingmei Zhou; Chuan Hu
Online tool wear monitoring via a deep-kernel Gaussian process regression algorithm

基于深度核高斯过程回归算法的在线工具磨损监测

Frontiers of Mechanical Engineering
IF4
2026-06-300
PRE
Guangxian Li; Hui Xu; Meng Liu; Wencheng Pan; Xiangkun He; Wei Wei
TIRP: a topology-informed refinement model for multimodal trajectory prediction in autonomous driving

TIRP：一种基于拓扑信息的自主驾驶多模态轨迹预测精炼模型

Measurement Science and Technology
IF3.4
2026-04-160
PRE
Dongxuan Xie; Tai Wang; Shufan Bi; Yingjie Zhao; Nan Wang; Xiangkun He
PaVSF: A Multimodal Fusion Power Consumption Prediction Model for Autonomous Wheeled Vehicles in Off-Road Environments

PaVSF：一种用于越野环境下自主轮式车辆的多模态融合功耗预测模型

Journal of Field Robotics
IF5.2
2026-02-130
PRE
Dongxuan Xie; Shilong Xu; Youkang Zhang; Yuanjian Zhang; Nan Wang; Xiangkun He
Long time series prediction of milling force via a hybrid multi neuro-network-based algorithm

基于混合多神经网络算法的铣削力长时序预测

Engineering Applications of Artificial Intelligence
IF8
2025-10-210
PRE
Meng Liu; Hui Xie; Xiangkun He; Wencheng Pan; Fengling Han; Guangxian Li; Songlin Ding
Development and external validation of a model for post-endoscopic retrograde cholangiopancreatography pancreatitis

内镜逆行胰胆管造影术后胰腺炎模型的开发与外部验证

ISCIENCE
IF4.1
2025-06-010
OAAI
Wang, Gang; Sun, Qikai; Zhu, Hai; Qiao, Song; Xu, Peng; He, Xiangyu; He, Xiangkun; Hu, Xiaosi; Song, Mingming; Zhang, Qiuyan; Feng, Zhenyu; Chen, Yue; Gao, Yue; Jin, Zhiyuan; Li, Wen; Tang, Haizheng; Yan, Chaoqun; Wei, Yajun; Xu, Shibo; Hu, Gang; Zhang, Xiuhua; Zheng, Jinxin; Wang, Cheng
Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model

增强任务增量持续学习：整合基于提示的特征选择与预训练视觉语言模型

KNOWLEDGE-BASED SYSTEMS
IF7.6
2025-06-010
PRE
Yang, Lie; Yang, Haohan; He, Xiangkun; Huang, Wenhui; Lv, Chen
Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration

通过偏好引导的随机探索采样高效的深度强化学习

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
2024-12-014
OA
Huang, Wenhui; Zhang, Cong; Wu, Jingda; He, Xiangkun; Zhang, Jie; Lv, Chen
Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles

人工引导的深度强化学习在自动驾驶汽车最优决策中的应用

ieee transactions on cybernetics
IF8.7
2024-11-012
PRE
Wu, Jingda; Yang, Haohan; Yang, Lie; Huang, Yi; He, Xiangkun; Lv, Chen
Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles
IEEE-ASME TRANSACTIONS ON MECHATRONICS
IF7.3
2024-10-013
OA
Chen, Hao; He, Xiangkun; Cheng, Shuo; Lv, Chen
Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations

通过防御感知的鲁棒强化学习对抗最坏情况的观测扰动的可信自动驾驶

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
IF7.9
2024-06-015
PRE
He, Xiangkun; Huang, Wenhui; Lv, Chen
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

目标引导的变压器式强化学习可实现高效自主导航

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
IF8.4
2024-02-0110
OA
Huang, Wenhui; Zhou, Yanxin; He, Xiangkun; Lv, Chen
Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

走向自动驾驶汽车的值得信赖的决策: 一种具有安全保证的鲁棒强化学习方法

ENGINEERING
IF11.6
2024-02-0111
OAAI
He, Xiangkun; Huang, Wenhui; Lv, Chen
Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties

考虑环境不确定性的鲁棒多目标强化学习

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
2024-01-010
PRE
He, Xiangkun; Hao, Jianye; Chen, Xu; Wang, Jun; Ji, Xuewu; Lv, Chen
Personalized robotic control via constrained multi-objective reinforcement learning

基于约束多目标强化学习的个性化机器人控制

NEUROCOMPUTING
IF6.5
2024-01-013
PRE
He, Xiangkun; Hu, Zhongxu; Yang, Haohan; Lv, Chen
Towards Safe Autonomous Driving: Decision Making with Observation-Robust Reinforcement Learning

走向安全的自动驾驶: 具有观察鲁棒性的强化学习的决策

AUTOMOTIVE INNOVATION
IF5
2023-11-084
OA
He, Xiangkun; Lv, Chen
Toward personalized decision making for autonomous vehicles: A constrained multi-objective reinforcement learning technique

面向自动驾驶汽车的个性化决策: 一种约束多目标强化学习技术

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
IF7.9
2023-11-0113
PRE
He, Xiangkun; Lv, Chen
Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning

走向智能互联电子移动: 通过深度多智能体强化学习实现能量感知协同驾驶

IEEE VEHICULAR TECHNOLOGY MAGAZINE
IF7.2
2023-09-014
PRE
He, Xiangkun; Lv, Chen
Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
IF19.2
2023-05-015
OA
He, Xiangkun; Lv, Chen
Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach

高速公路匝道自动驾驶汽车的鲁棒决策: 一种约束对抗强化学习方法

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
IF8.4
2023-04-0143
OA
He, Xiangkun; Lou, Baichuan; Yang, Haohan; Lv, Chen

Research Directions

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W
Wencheng Pan
H-index:13Papers:44Citations:903