About Me

I work on agent systems and the infrastructure around tool-using AI.

I am an undergraduate student pursuing Computer Science at the University of Michigan and Electrical and Computer Engineering at Shanghai Jiao Tong University. My current interests center on agent systems, multi-agent coordination, skill evolution, and evaluation environments for AI agents.

My recent work explores how agents can adapt after deployment, collaborate through persistent workspaces, and use evidence from execution traces to improve skills and system structure.

Education

Education

University of Michigan, Ann Arbor

B.S.E. in Computer Science

Shanghai Jiao Tong University

B.S. in Electrical and Computer Engineering

Research

Selected Publications

arXiv, 2026

SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System

Shuai Pan, Yixiang Liu, Jiaye Gao, Te Gao, Weiwen Liu, Jianghao Lin, Zhihui Fu, Jun Wang, Weinan Zhang, Yong Yu

Introduces an adaptive framework that couples skill evolution with multi-agent system restructuring after deployment.

arXiv

arXiv, 2026

Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web

Xiaohang Nie, Zihan Guo, Kezhuo Yang, Zhichong Zheng, Bochen Ge, Shuai Pan, Zeyi Chen, Youling Xiang, Yu Zhang, Weiwen Liu, Yuanjian Zhou, Weinan Zhang

Presents an agent architecture and runtime harness for persistent, collaborative, and evolving agents on the Open Agentic Web.

arXiv Project

MSN 2024

A Low Overhead Positioning Framework for Satellite-Based IoT Devices

Jiale Lei, Shuai Pan, Linghe Kong, Guihai Chen, Jiaying Song

Develops a low-overhead positioning framework for resource-constrained IoT terminals in satellite communication scenarios.

Paper

Projects

Research & Project Experience

Modeling and Optimization of Manufacturing Systems Based on Virtual Simulation

The 46th SJTU Participation in Research Program. Built and analyzed a virtual production-line environment with Isaac Sim and SolidWorks, focusing on scheduling, AGV path planning, robotic arm control, and simulation-based optimization.

Waterborne Amphibious Model Car

Implemented the driving control module and contributed to system assembly for an innovation contest project.

Background

Other Academic Experience

Oxford University Prospect Program

New Frontiers of Science: Math, Physics, Computer Science and Engineering

UCLA Extension

Introduction to Data Science

Student Science and Technology Innovation & Competition Department

Organized technical lectures, workshops, and competitions; led sessions on deep learning, Python, and LaTeX.

Recognition

Awards

3rd Prize, The 18th iCAN International Contest of Innovation

1st Prize, The 36th Chinese National Chemistry Olympiad