CV

A brief version of my CV is presented below. You can also download the complete version here.

Education

• Bachelor of Engineering, Shanghai Jiao Tong University
  • September 2021 - June 2025 (expected)
  • Major in Artificial Intelligence (Honor Class)
  • GPA 95.44/100, Rank 1/94
  • A+ Courses: Mathematical Analysis, Linear Algebra, Linear and Convex Optimization, Stochastic Processes, Design and Analysis of Algorithms, Deep Learning and Its Applications, and 32 others

Selected Honors

• 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
• Guozhi Class Program Membership, November 2021
  • Training program for top-notch talents in AI jointly established by SJTU and Shanghai AI Lab
• Zhiyuan Honors Program Membership, September 2021
  • Honor program dedicated to cultivate scientific leaders 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.
• Position: Scaling LLM-based Multi-agent Systems Calls for Systematical Design
  • Submitted to ICML 2025 Position Paper Track (Second Author)
  • Advisor: Dr. Lei Bai & Dr. Zhenfei Yin
  • Position the scaling of LLM-based multi-agent systems as a complex systematical design, presenting an envisioned framework for the futuristic large-scale multi-agent systems.
• ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks
  • Submitted to ACL ARR 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 AI Laboratory, May 2024 - Present
  • Research Intern, 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 (CET-6 619, TOEFL 98)
• Programming: C++, C# (WinForm), Python (PyTorch), LaTeX
• Expertise: Large Language Models, Multi-agent Systems, Reinforcement Learning