Homepage of Shuyue Hu

Homepage of Shuyue Hu

Hello! I'm Shuyue Hu, a researcher at Shanghai Artificial Intelligence Laboratory, Shanghai, China. Previously, I was a postdoctoral research fellow working with Prof. Georgios Piliouras and Prof. Harold Soh at Singapore University of Technology and Design and National University of Singapore, respectively. I completed my Ph.D at the Chinese University of Hong Kong under the supervison of Prof. Ho-fung Leung in 2019.

My research interests are in multi-agent system, game theory, reinforcement learning, and large language model.

Email: shuyuehu217@gmail.com

DBLP|GOOGLE SCHOLAR

This page is no longer updated. Please refer to Shuyue's new homepage for more information.

Selected Publications

Emergent Behaviors in Multi-Agent Systems

S.Y. Ren, Z.Y. Cui, R.Q. Song, Z. Wang and S.Y. Hu, "Emergence of Social Norms in Large Language Model-based Agent Societies," IJCAI 2024. If you have any comments, please feel free to drop me an email. 😀
Z. Wang, Z. Song, C. Shen and S.Y. Hu, "Emergence of Punishment in Social Dilemma with Environmental Feedback," AAAI 2023.
H. Guo, C. Shen, S.Y. Hu, J. L. Xing, P. Tao, Y. C. Shi, and Z. Wang. "Facilitating Cooperation in Human-Agent Hybrid Populations through Autonomous Agents," iScience 2023.
S. Y. Hu, C. W. Leung, H. F. Leung and J. M. Liu, "Gist Trace-based Learning: Efficient Convention Emergence from Multilateral Interactions," ACM TAAS 2022.
S. Y. Hu and H. F. Leung, "Achieving Coordination in Multi-Agent Systems by Stable Local Conventions under Community Networks," IJCAI 2017.

Multi-Agent Learning Theory

S.Y. Hu, H. Soh and G. Piliouras, "The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium," NeurIPS 2023. [Supplemental Material|Poster]
C. Chu, Z. Yuan, S. Y. Hu, C. J. Mu and Z. Wang, "A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games," AAAI 2023.
C. W. Leung, S. Y. Hu and H. F. Leung, "Modelling the dynamics of multi-agent Q-learning: the stochastic effects of local interaction and incomplete information," IJCAI 2022.
S. Y. Hu, C. W. Leung, H. F. Leung and H. Soh, "The Dynamics of Q-learning in Population Games: a Physics-inspired Continuity Equation Model," AAMAS 2022. [Supplemental Material]
S. Y. Hu, C. W. Leung and H. F. Leung, "Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach," NeurIPS 2019.

Multi-Agent Reinforcement Learning

P.D. Li, S.X. Li, C. Yang, X.R. Wang, S.Y. Hu, X. Huang, H. Chan and B. An, "Configurable Mirror Descent: Towards a Unification of Decision Making," ICML 2024.
C.X. Zhu, Y. Cai, S.Y. Hu, H. F. Leung and D. Chiu, "Learning by Reusing Previous Advice: A Memory-Based Teacher-Student Framework," JAAMAS 2023.
Y. Chen, L.B. Zhang, J.M. Liu and S.Y. Hu, "Individual-Level Inverse Reinforcement Learning for Mean Field Games," AAMAS 2022.
C. X. Zhu, H. F. Leung, S. Y. Hu and Y. Cai, “A Q-values Sharing Framework for Multiple Reinforcement Learning under Budget Constraint,” ACM TAAS 2021.
C. W. Leung, S. Y. Hu and H. F. Leung, "Self-Play or Group Practice: Learning to Play Alternating Markov Game in Multi-Agent System," ICPR 2020.

Services

Scholarship Chair and Area Chair of AAMAS 2024
Yearly Progam Committee Member of AAMAS, AAAI, NeurIPS, ICML, ICLR
Guest Editor of Neurocomputing
Reviewer of Autonomous Agents and Multi-Agent Systems, Physics of Life Reviews, Scientific Report, Frontiers of Computer Science

Selected Honors and Awards

Overseas High-Level Talents in Shanghai, 2023
Outstanding (top 10%) Reviewers for ICML, 2022
NeurIPS Travel Award, 2019
Postgraduate Studentship of CUHK, 2015-2019
Teaching Assistant of Merits of CUHK CSE, 2016
Meritorious Winner of Mathematical Contest in Modeling, 2014
National Scholarship of China, 2013

Teaching Experiences

As a guest lecturer at Tianjin University:

Multiagent Learning: Mechanisms and Theory
Learning in Games: a Dynamical System Perspective

As a teaching assistant at the Chinese University of Hong Kong:

Advanced Topics in Game Theory (2015 Fall, 2017 Fall, 2018 Fall)
Open-Source Software Project Development (2017 Spring)
Introduction to Programming in Java (2016 Fall)
Linear Algebra and Vector Calculus (2016 Spring)

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