Redundant design of A CAN BUS Testing and Communication System for space robot arm. - Jun Yang 028; Tao Zhang 006; Jingyan Song; Hanxu Sun; Guozhen Shi; Yao Chen (ICARCV, 2008)

A Novel Systematic Error Compensation Algorithm Based on Least Squares Support Vector Regression for Star Sensor Image Centroid Estimation. - Jun Yang 028; Bin Liang 001; Tao Zhang 006; Jingyan Song (Sensors, 2011)

Laboratory Test System Design for Star Sensor Performance Evaluation. - Jun Yang 028; Bin Liang 001; Tao Zhang 006; Jingyan Song; Liang-liang Song (J. Comput., 2012)

An Iterative Closest Points Algorithm for Registration of 3D Laser Scanner Point Clouds with Geometric Features. - Ying He; Bin Liang 001; Jun Yang 028; Shunzhi Li; Jin He (Sensors, 2017)

Depth Errors Analysis and Correction for Time-of-Flight (ToF) Cameras. - Ying He; Bin Liang 001; Yu Zou; Jin He; Jun Yang 028 (Sensors, 2017)

Deep Model Based Domain Adaptation for Fault Diagnosis. - Weining Lu; Bin Liang 001; Yu Cheng 001; Deshan Meng; Jun Yang 028; Tao Zhang 006 (IEEE Trans. Ind. Electron., 2017)

Set-based Active Fault Diagnosis for Discrete-time Linear Descriptor Systems. - Songlin Yang; Feng Xu 006; Xueqian Wang 001; Jun Yang 028; Bin Liang 001 (ACC, 2019)

Locomotion Control for Quadruped Robot Combining Central Pattern Generators with Virtual Model Control. - Xiang Wang; Houde Liu; Bin Liang 001; Xueqian Wang 001; Jun Yang 028 (ICCA, 2019)

Control of Space Flexible Manipulator Using Soft Actor-Critic and Random Network Distillation. - Chen Yang; Jun Yang 028; Xueqian Wang 001; Bin Liang 001 (ROBIO, 2019)

Modeling and Control of Free-Floating Space Manipulator Using the T-S Fuzzy Descriptor System Approach. - Jiabao He; Feng Xu 006; Xueqian Wang 001; Jun Yang 028; Bin Liang 001 (SMC, 2019)

A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions. - Ming Zhang 015; Duo Wang; Weining Lu; Jun Yang 028; Zhiheng Li 001; Bin Liang 001 (IEEE Access, 2019)

Invariant set-based robust fault detection and optimal fault estimation for discrete-time LPV systems with bounded uncertainties. - Junbo Tan; Feng Xu 006; Xueqian Wang 001; Jun Yang 028; Bin Liang 001 (Int. J. Syst. Sci., 2019)

Fairness Control of Traffic Light via Deep Reinforcement Learning. - Chenghao Li 002; Xiaoteng Ma; Li Xia; Qianchuan Zhao; Jun Yang 028 (CASE, 2020)

Conservatism Comparison of State Estimation Error and Residual in Multiple Actuator Faults Detection. - Bo Min; Junbo Tan; Xueqian Wang 001; Jun Yang 028; Bin Liang 001 (SMC, 2020)

Distributional Soft Actor Critic for Risk Sensitive Learning. - Xiaoteng Ma; Qiyuan Zhang; Li Xia; Zhengyuan Zhou; Jun Yang 028; Qianchuan Zhao (CoRR, 2020)

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration. - Ming Zhang 015; Yawei Wang 002; Xiaoteng Ma; Li Xia; Jun Yang 028; Zhiheng Li 001; Xiu Li 001 (CoRR, 2020)

SOAC: The Soft Option Actor-Critic Architecture. - Chenghao Li 002; Xiaoteng Ma; Chongjie Zhang; Jun Yang 028; Li Xia; Qianchuan Zhao (CoRR, 2020)

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning. - Xiaoteng Ma; Yiqin Yang; Chenghao Li 002; Yiwen Lu; Qianchuan Zhao; Jun Yang 028 (AAMAS, 2021)

Average-Reward Reinforcement Learning with Trust Region Methods. - Xiaoteng Ma; Xiaohang Tang; Li Xia; Jun Yang 028; Qianchuan Zhao (IJCAI, 2021)

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. - Chenghao Li 002; Tonghan Wang 001; Chengjie Wu; Qianchuan Zhao; Jun Yang 028; Chongjie Zhang (NeurIPS, 2021)

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning. - Yiqin Yang; Xiaoteng Ma; Chenghao Li 002; Zewu Zheng; Qiyuan Zhang; Gao Huang 001; Jun Yang 028; Qianchuan Zhao (NeurIPS, 2021)

AI in Games: Techniques, Challenges and Opportunities. - Qiyue Yin; Jun Yang 028; Wancheng Ni; Bin Liang 001; Kaiqi Huang (CoRR, 2021)

The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. - Meng Yao; Qiyue Yin; Jun Yang 028; Tongtong Yu; Shengqi Shen; Junge Zhang; Bin Liang 001; Kaiqi Huang (CoRR, 2021)

Learning to Discover Task-Relevant Features for Interpretable Reinforcement Learning. - Qiyuan Zhang; Xiaoteng Ma; Yiqin Yang; Chenghao Li 002; Jun Yang 028; Yu Liu 036; Bin Liang 001 (IEEE Robotics Autom. Lett., 2021)

Active Fault-Tolerant Control Integrated with Reinforcement Learning Application to Robotic Manipulator. - Zichen Yan; Junbo Tan; Bin Liang 001; Houde Liu; Jun Yang 028 (ACC, 2022)

Offline Reinforcement Learning with Value-based Episodic Memory. - Xiaoteng Ma; Yiqin Yang; Hao Hu 006; Jun Yang 028; Chongjie Zhang; Qianchuan Zhao; Bin Liang 001; Qihan Liu (ICLR, 2022)

Safe Opponent-Exploitation Subgame Refinement. - Mingyang Liu; Chengjie Wu; Qihan Liu; Yansen Jing; Jun Yang 028; Pingzhong Tang; Chongjie Zhang (NeurIPS, 2022)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (CoRR, 2022)

Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks. - Hanqi Dai; Weining Lu; Xianglong Li; Jun Yang 028; Deshan Meng; Yanze Liu; Bin Liang 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

APD: Learning Diverse Behaviors for Reinforcement Learning Through Unsupervised Active Pre-Training. - Kailin Zeng; Qiyuan Zhang; Bin Chen; Bin Liang 001; Jun Yang 028 (IEEE Robotics Autom. Lett., 2022)

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. - Yiqin Yang; Hao Hu 006; Wenzhe Li; Siyuan Li 003; Jun Yang 028; Qianchuan Zhao; Chongjie Zhang (AAAI, 2023)

Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. - Junjie Zhang; Jiafei Lyu; Xiaoteng Ma; Jiangpeng Yan; Jun Yang 028; Le Wan; Xiu Li 001 (ECAI, 2023)

Joint Recurrent Actor-Critic Model for Partially Observable Control. - Han Xu; Jun Yang 028; Bin Liang 001 (ICAC, 2023)

Conservative Offline Policy Adaptation in Multi-Agent Games. - Chengjie Wu; Pingzhong Tang; Jun Yang 028; Yujing Hu; Tangjie Lv; Changjie Fan; Chongjie Zhang (NeurIPS, 2023)

Multi-target Approaching Control of Hyper-redundant Manipulators using Reinforcement Learning. - Han Xu; Chen Xue; Quan Chen; Jun Yang 028; Bin Liang 001 (ROBIO, 2023)

Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis. - Xiaojie Zhou; Xueou Feng; Qingming Li; Qiyue Yin; Jun Yang 028; Guoxia Yu; Qing Shi (IEEE Access, 2023)

Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning. - Junjie Zhang; Jiafei Lyu; Xiaoteng Ma; Jiangpeng Yan; Jun Yang 028; Le Wan; Xiu Li 001 (CoRR, 2023)

AI in Human-computer Gaming: Techniques, Challenges and Opportunities. - Qiyue Yin; Jun Yang 028; Kaiqi Huang; Meijing Zhao; Wancheng Ni; Bin Liang 001; Yan Huang 008; Shu Wu; Liang Wang 001 (Int. J. Autom. Comput., 2023)

Learning Diverse Risk Preferences in Population-Based Self-Play. - Yuhua Jiang; Qihan Liu; Xiaoteng Ma; Chenghao Li 002; Yiqin Yang; Jun Yang 028; Bin Liang 001; Qianchuan Zhao (AAAI, 2024)

Efficient Multi-agent Reinforcement Learning by Planning. - Qihan Liu; Jianing Ye; Xiaoteng Ma; Jun Yang 028; Bin Liang 001; Chongjie Zhang (ICLR, 2024)

Single-Trajectory Distributionally Robust Reinforcement Learning. - Zhipeng Liang; Xiaoteng Ma; José H. Blanchet; Jun Yang 028; Jiheng Zhang; Zhengyuan Zhou (ICML, 2024)

More Like Real World Game Challenge for Partially Observable Multi-agent Cooperation. - Xueou Feng; Meng Yao; Shengqi Shen; Qiyue Yin; Jun Yang 028 (PRCV (4), 2024)

An Asymmetric Game Theoretic Learning Model. - Qiyue Yin; Tongtong Yu; Xueou Feng; Jun Yang 028; Kaiqi Huang (PRCV (3), 2024)

Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Wancheng Ni; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (Mach. Intell. Res., 2024)

Episodic Novelty Through Temporal Distance. - Yuhua Jiang; Qihan Liu; Yiqin Yang; Xiaoteng Ma; Dianyu Zhong; Hao Hu 006; Jun Yang 028; Bin Liang 001; Bo Xu 002; Chongjie Zhang; Qianchuan Zhao (ICLR, 2025)

DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning. - Xiaoteng Ma; Junyao Chen; Li Xia; Jun Yang 028; Qianchuan Zhao; Zhengyuan Zhou (J. Artif. Intell. Res., 2025)

CVaR-Constrained Policy Optimization for Safe Reinforcement Learning. - Qiyuan Zhang; Shu Leng; Xiaoteng Ma; Qihan Liu; Xueqian Wang 001; Bin Liang 001; Yu Liu 036; Jun Yang 028 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning. - Chenghao Li 002; Tonghan Wang 001; Chengjie Wu; Qianchuan Zhao; Jun Yang 028; Chongjie Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)