Xiangyuan Xue
Scholar

Xiangyuan Xue

Google Scholar ID: ku1QbowAAAAJ
The Chinese University of Hong Kong
LLM-based AgentMulti-agent SystemReinforcement Learning
Citations & Impact
All-time
Citations
36
 
H-index
3
 
i10-index
1
 
Publications
5
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Publications:
  • 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.