Short Bio

I am currently a Ph.D. student at the Khoury College of Computer Sciences at Northeastern University, advised by Christopher Amato. Previously, I got my Master’s in Computer Science and Data Science from Columbia University, where I worked with Sharon Di. I completed my undergraduate at Sun Yat-sen University.

My research interest lies in Multi-Agent Systems, Reinforcement Learning, and Large Language Models. Specifically: (1) To optimize LLM coordination with multi-agent reinforcement learning; (2) To advance theory and methods for decentralized decision-making in partially observable domains; (3) To develop game-theoretic frameworks for multi-agent planning in societal-scale systems.

Keywords: Multi-Agent Reinforcement Learning; Large Language Models; Multi-Agent Systems; Game Theory.

Education

• Northeastern University, Boston, Massachusetts
  Ph.D. in Computer Science, 2024 - Present
  
• Columbia University, New York, New York
  M.S. in Computer Science, Data Science, 2021 - 2024
  
• Sun Yat-sen University, Guangzhou, Guangdong, China
  B.E. in Software Engineering, 2016 - 2020
  

Selected Papers

• [Mathematics]  Scalable Learning for Spatiotemporal Mean-Field Games using Physics-Informed Neural Operator.
  Shuo Liu, Xu Chen, Sharon Di,
  in Mathematics, 2024.
     

• [AAMAS]  A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean-Field Games.
  Xu Chen, Shuo Liu, Sharon Di,
  in 22nd International Conference on Autonomous Agents and Multiagent Systems.
       

• [ITSC]  SMART-eFlo: An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem.
  Shuo Liu*, Yunhao Wang*, Xu Chen, Yongjie Fu, Sharon Di,
  in 25th IEEE International Conference on Intelligent Transportation Systems.
     

Teaching Experience

• Teaching Assistant, Northeastern CS 5180 Reinforcement Learning and Sequential Decision Making, Spring 2025.
• Course Assistant, Columbia COMS 4995 Empirical Methods for Data Science, Spring 2022, Fall 2022.
• Course Assistant, Columbia COMS 4231 Analysis of Algorithms, Spring 2022.
• Course Assistant, Columbia CSOR 4246 Algorithm for Data Science, Fall 2021.