CV
A brief version of my CV is presented below. You can also download the complete version here.
Education Background
- Doctor of Philosophy, The Chinese University of Hong Kong
- August 2025 - July 2029 (expected)
- Department of Information Engineering (Multimedia Laboratory)
- Funded by the Hong Kong PhD Fellowship Scheme
- Research Interests: Large Language Models, Multi-agent Systems, Reinforcement Learning
- Bachelor of Engineering, Shanghai Jiao Tong University
- September 2021 - June 2025
- Major in Artificial Intelligence (Honor Class)
- GPA 95.44/100, Rank 1/94
- A+ Courses: Mathematical Analysis, Linear Algebra, Algorithm Design, Deep Learning, and 34 others
Selected Honors
- Hong Kong PhD Fellowship, April 2025
- Attracting top-tier students from all over the world to pursue their PhD studies in Hong Kong
- Outstanding Graduate in Shanghai, June 2025
- Awarded to top 5% undergraduate students graduating from universities across Shanghai
- National Scholarship (Three Times), December 2022, 2023, 2024
- Awarded to top 0.2% students nationwide, funded by the Chinese Ministry of Education
- First-Class Academic Excellence Scholarship (Three Times), December 2022, 2023, 2024
- Highest academic scholarship awarded to top 1% students in Shanghai Jiao Tong University
Research Experience
- ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems
- Accepted by CVPR 2025 (First Author)
- Advisor: Prof. Wanli Ouyang & Dr. Lei Bai
- Propose a benchmark for LLM-based agents to autonomously design collaborative AI systems in ComfyUI, along with a well-performing multi-agent framework to solve the tasks.
- ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks
- Accepted by EMNLP 2025 (Third Author)
- Advisor: Dr. Lei Bai & Dr. Zhenfei Yin
- Propose a multi-agent system which integrates task graph generation with a reward-driven two-stage agent selection process, achieving state-of-the-art performance on reasoning tasks.
Internship Experience
- Shanghai Artificial Intelligence Laboratory, May 2024 - Present
- Trainee Researcher, AI for Science Group
- Research on the topics of large language models and multi-agent systems under the supervision of Prof. Wanli Ouyang and Dr. Lei Bai, producing the ComfyBench work as the first author.
Skills
- Language: Chinese (Native), English (Fluent)
- Programming: C++, C# (WinForm), Python (PyTorch), LaTeX