Knowledge-distillation-aided Lightweight Neural Network for Massive MIMO CSI Feedback. - Huaze Tang; Jiajia Tang; Michail Matthaiou; Chao-Kai Wen; Shi Jin 002 (VTC Fall, 2021)

Heterogeneous Mean-Field Multi-Agent Reinforcement Learning for Communication Routing Selection in SAGI-Net. - Hengxi Zhang; Huaze Tang; Yuanquan Hu; Xiaoli Wei; Chenye Wu; Wenbo Ding 001; Xiao-Ping Zhang 002 (VTC Fall, 2022)

Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks. - Hengxi Zhang; Huaze Tang; Wenbo Ding 001; Xiao-Ping Zhang 002 (UbiComp/ISWC Adjunct, 2023)

STEV: Stretchable Triboelectric E-skin enabled Proprioceptive Vibration Sensing for Soft Robot. - Zihan Wang; Kai-Chong Lei; Huaze Tang; Shoujie Li; Yuan Dai; Wenbo Ding 001; Xiao-Ping (Steven) Zhang (ICRA, 2023)

Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning. - Huaze Tang; Hengxi Zhang; Zhenpeng Shi; Xinlei Chen; Wenbo Ding 001; Xiao-Ping Zhang 002 (IROS, 2023)

Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks. - Hengxi Zhang; Chengyue Lu; Huaze Tang; Xiaoli Wei; Le Liang; Ling Cheng 001; Wenbo Ding 001; Zhu Han 001 (IEEE Internet Things J., 2023)

M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space. - Huaze Tang; Yuanquan Hu; Fanfan Zhao; Junji Yan; Ting Dong; Wenbo Ding 001 (ICASSP, 2024)

MAMGDT: Enhancing Multi-Agent Systems with Multi-Game Decision Transformer. - Chao Wang; Huaze Tang; Wenbo Ding 001 (MobiCom, 2024)

M$^{3}$Tac: A Multispectral Multimodal Visuotactile Sensor With Beyond-Human Sensory Capabilities. - Shoujie Li; Haixin Yu; Guoping Pan; Huaze Tang; Jiawei Zhang 012; Linqi Ye; Xiao-Ping Zhang 002; Wenbo Ding 001 (IEEE Trans. Robotics, 2024)

Lightweight Neural Network With Knowledge Distillation for CSI Feedback. - Yiming Cui; Jiajia Guo; Zheng Cao 001; Huaze Tang; Chao-Kai Wen; Shi Jin 002; Xin Wang 073; Xiaolin Hou (IEEE Trans. Commun., 2024)

Reinforced Domain Selection for Continuous Domain Adaptation. - Hanbing Liu; Huaze Tang; Yanru Wu; Yang Li 104; Xiao-Ping Zhang 002 (ICASSP, 2025)

Mean-Field Aided QMIX: A Scalable and Flexible Q-Learning Approach for Large-Scale Agent Groups. - Enze Zhang; Huaze Tang; Xiao-Ping Zhang 002; Wenbo Ding 001 (ICASSP, 2025)

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning. - Yixian Zhang; Huaze Tang; Huijing Lin; Wenbo Ding 001 (ICLR, 2025)

A Scalable Mean-Field MARL Framework for Multi-Objective V2X Resource Allocation. - Xuan Zhang; Hengxi Zhang; Huaze Tang; Le Liang; Ling Cheng 001; Xinlei Chen; Wenbo Ding 001; Xiao-Ping Zhang 002 (IEEE Trans. Intell. Veh., 2025)

Policy Newton Algorithm in Reproducing Kernel Hilbert Space. - Yixian Zhang; Huaze Tang; Chao Wang; Wenbo Ding 001 (CoRR, 2025)

Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning. - Yixian Zhang; Huaze Tang; Changxu Wei; Wenbo Ding 001 (CoRR, 2025)