Huaze Tang

According to our database, Huaze Tang authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning.

Yixian Zhang, Huaze Tang, Changxu Wei, Wenbo Ding

CoRR, June, 2025

Policy Newton Algorithm in Reproducing Kernel Hilbert Space.

Yixian Zhang, Huaze Tang, Chao Wang, Wenbo Ding

CoRR, June, 2025

A Scalable Mean-Field MARL Framework for Multi-Objective V2X Resource Allocation.

Xuan Zhang, Hengxi Zhang, Huaze Tang, Le Liang, Ling Cheng, Xinlei Chen, Wenbo Ding, Xiao-Ping Zhang

IEEE Trans. Intell. Veh., February, 2025

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning.

Yixian Zhang, Huaze Tang, Huijing Lin, Wenbo Ding

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mean-Field Aided QMIX: A Scalable and Flexible Q-Learning Approach for Large-Scale Agent Groups.

Enze Zhang, Huaze Tang, Xiao-Ping Zhang, Wenbo Ding

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Reinforced Domain Selection for Continuous Domain Adaptation.

Hanbing Liu, Huaze Tang, Yanru Wu, Yang Li, Xiao-Ping Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Lightweight Neural Network With Knowledge Distillation for CSI Feedback.

Yiming Cui, Jiajia Guo, Zheng Cao, Huaze Tang, Chao-Kai Wen, Shi Jin, Xin Wang, Xiaolin Hou

IEEE Trans. Commun., August, 2024

M$^{3}$Tac: A Multispectral Multimodal Visuotactile Sensor With Beyond-Human Sensory Capabilities.

Shoujie Li, Haixin Yu, Guoping Pan, Huaze Tang, Jiawei Zhang, Linqi Ye, Xiao-Ping Zhang, Wenbo Ding

IEEE Trans. Robotics, 2024

MAMGDT: Enhancing Multi-Agent Systems with Multi-Game Decision Transformer.

Chao Wang, Huaze Tang, Wenbo Ding

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

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, Wenbo Ding, Zhu Han

IEEE Internet Things J., February, 2023

Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning.

Huaze Tang, Hengxi Zhang, Zhenpeng Shi, Xinlei Chen, Wenbo Ding, Xiao-Ping Zhang

IROS, 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, Xiao-Ping (Steven) Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks.

Hengxi Zhang, Huaze Tang, Wenbo Ding, Xiao-Ping Zhang

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022

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, Xiao-Ping Zhang

Proceedings of the 96th Vehicular Technology Conference, 2022

2021

Knowledge-distillation-aided Lightweight Neural Network for Massive MIMO CSI Feedback.

Huaze Tang, Jiajia Tang, Michail Matthaiou, Chao-Kai Wen, Shi Jin

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021