1. CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
2. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
3. The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
4. Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI
5. ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks (EMNLP 2025)
6. ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems (CVPR 2025)
Research Experience
Interned at Shanghai Artificial Intelligence Laboratory under the supervision of Dr. Lei Bai in May 2024.
Education
Bachelor's degree: Honor Class of Artificial Intelligence at Shanghai Jiao Tong University; PhD: Multimedia Laboratory at The Chinese University of Hong Kong, supervised by Prof. Wanli Ouyang.
Background
Research interests: Large Language Models, Multi-agent Systems, and Reinforcement Learning. Currently a PhD student at the Multimedia Laboratory of The Chinese University of Hong Kong.