CV

Education

• Ph.D in Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, 2026 (expected)
• B.Eng in Chien-Shiung Wu College, Southeast University, 2021

Work experience

• Spring 2024: Research Internship
  • Meituan Co., Ltd
  • Duties includes: Develop a training pipeline for a large decision model tailored to fuzz testing.
    • Jobs: Designed and implemented 1B / 2B / 7B parameter models from scratch, including optimization of mixed precision training pipelines (dataset, trainer and model, etc.) and deployment of low-latency serving infrastructure.
    • Results: our approach achieves over 8 times more vulnerability discovery efficiency compared with traditional expert-guided random-walk exploitation.
  • Award: 卓越实践奖
  • Mentor: Li Zeng (Bill)

Skills

• Programming
  • MATLAB
  • Python
  • Golang
• Robotics
  • ROS
  • Gazebo
  • ISSCA gym
• LLM
  • Transformer

Publications

Residual kernel policy network: Enhancing stability and robustness in rkhs-based reinforcement learning

Zhang Y, Tang H, Lin H, et al. Residual kernel policy network: Enhancing stability and robustness in rkhs-based reinforcement learning[C]//The Thirteenth International Conference on Learning Representations. 2025.

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

Zhang, Enze, Tang, Huaze, et al. "Mean-Field Aided QMIX: A Scalable and Flexible Q-Learning Approach for Large-Scale Agent Groups." ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025.

M^3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space

Tang, Huaze, et al. "M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space." ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024.

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

Tang, Huaze, et al. "Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning." 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.

Mean-field-aided multiagent reinforcement learning for resource allocation in vehicular networks

Zhang, Hengxi, et al. "Mean-field-aided multiagent reinforcement learning for resource allocation in vehicular networks." IEEE Internet of Things Journal 10.3 (2022): 2667-2679.

Service and leadership

• Teaching Assistant of TBSI Course Advanced Signal Processing (2025/02-2025/06)
• Teaching Assistant of TBSI Course Advanced Signal Processing (2024/02-2024/06)
• Teaching Assistant of TBSI Course Learning from Data (2022/09-2023/01)