Short Bio
I am a Ph.D. student at the Khoury College of Computer Sciences at Northeastern University, advised by Christopher Amato.
My research interests focus on Multi-Agent Systems (MAS), Multi-Agent Reinforcement Learning (MARL), and Large Language Models (LLMs). Specifically: (1) Optimizing multi-LLM coordination through MARL (OpenMLRL projects); (2) Advancing theory and methods for decentralized decision-making in partially observable domains; (3) Developing game-theoretic frameworks for multi-agent planning in societal-scale systems.
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.
Education
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Northeastern University, Boston, Massachusetts
Ph.D. in Computer Science, 2024 - Present
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Columbia University, New York, New York
M.S. in Computer Science, Data Science, 2021 - 2024
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Sun Yat-sen University, Guangzhou, Guangdong, China
B.E. in Software Engineering, 2016 - 2020
Selected Papers
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[AAAI] LLM Collaboration with Multi-Agent Reinforcement Learning .
Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato,
in 40th Annual AAAI Conference on Artificial Intelligence.
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[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
- 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.
Service
- Conference Reviewer: AAAI 2026; AAMAS 2026; ICRA 2026; IJCNN 2025.