Products Competitive Relationships Mining. - Jun Li 062; Tao Wang 036; Shuyue Hu; Qingchuan Zhao; Huaqing Min (ER Workshops, 2013)

Exploring Set Recommendation from a Financial Perspective. - Yu Liu 043; Yi Cai 001; Shuyue Hu; Yifeng Shao; Tao Wang 036; Huaqing Min (ER Workshops, 2013)

Discovering Event Evolution Graphs Based on News Articles Relationships. - Dongping Huang; Shuyue Hu; Yi Cai; Huaqing Min (ICEBE, 2014)

Entity Relation Mining in Large-Scale Data. - Jingnan Li; Yi Cai 001; Qixuan Wang; Shuyue Hu; Tao Wang 036; Huaqing Min (DASFAA Workshops, 2015)

Exploring Reviews and Ratings on Reviews for Personalized Search. - Yang Yang; Shuyue Hu; Yi Cai 001; Qing Du; Ho-fung Leung; Raymond Y. K. Lau (ICWL Workshops, 2015)

An opinion mining framework for Cantonese reviews. - Jian Chen 011; Dongping Huang; Shuyue Hu; Yu Liu 043; Yi Cai 001; Huaqing Min (J. Ambient Intell. Humaniz. Comput., 2015)

Local Norm Phenomena in Multi-Agent Systems under Community Networks. - Shuyue Hu; Ho-fung Leung (AAMAS, 2017)

Achieving Coordination in Multi-Agent Systems by Stable Local Conventions under Community Networks. - Shuyue Hu; Ho-fung Leung (IJCAI, 2017)

Integrating User Reviews and Ratings for Enhanced Personalized Searching. - Shuyue Hu; Yi Cai 001; Ho-fung Leung; Dongping Huang; Yang Yang (Int. J. Distance Educ. Technol., 2017)

Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems. - Shuyue Hu; Ho-fung Leung (Australasian Conference on Artificial Intelligence, 2018)

The Effects of Fixed-Strategy Agents on Local Convention Emergence in Multi-agent Systems. - Tim Borglund; Shuyue Hu; Ho-fung Leung (IIP, 2018)

Do Social Norms Emerge? The Evolution of Agents' Decisions with the Awareness of Social Values under Iterated Prisoner's Dilemma. - Shuyue Hu; Ho-fung Leung (SASO, 2018)

To be Big Picture Thinker or Detail-Oriented?: Utilizing Perceived Gist Information to Achieve Efficient Convention Emergence with Bilateralism and Multilateralism. - Shuyue Hu; Chin-wing Leung; Ho-fung Leung; Jiamou Liu (AAMAS, 2019)

A Q-values Sharing Framework for Multiple Independent Q-learners. - Changxi Zhu; Ho-fung Leung; Shuyue Hu; Yi Cai 001 (AAMAS, 2019)

Efficient and Robust Emergence of Conventions through Learning and Staying. - Wei Liu 149; Shuyue Hu; Jiamou Liu; Wu Chen 005; Siyuan Chen; Yong Yu 002 (ICA, 2019)

Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach. - Shuyue Hu; Chin-wing Leung; Ho-fung Leung (NeurIPS, 2019)

Modeling Convention Emergence by Observation with Memorization. - Chin-wing Leung; Shuyue Hu; Ho-fung Leung (PRICAI (1), 2019)

Learning by Reusing Previous Advice in Teacher-Student Paradigm. - Changxi Zhu; Yi Cai 001; Ho-fung Leung; Shuyue Hu (AAMAS, 2020)

Self-Play or Group Practice: Learning to Play Alternating Markov Game in Multi-Agent System. - Chin-Wing Leung; Shuyue Hu; Ho-fung Leung (ICPR, 2020)

The Evolutionary Dynamics of Independent Learning Agents in Population Games. - Shuyue Hu; Chin-Wing Leung; Ho-fung Leung; Harold Soh (CoRR, 2020)

A Q-values Sharing Framework for Multiagent Reinforcement Learning under Budget Constraint. - Changxi Zhu; Ho-fung Leung; Shuyue Hu; Yi Cai 001 (CoRR, 2020)

A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents. - Nicholas Teh; Shuyue Hu; Harold Soh (HRI (Companion), 2021)

Formal Modeling of Reinforcement Learning with Many Agents through Repeated Local Interactions. - Chin-Wing Leung; Shuyue Hu; Ho-fung Leung (ICTAI, 2021)

Gist Trace-based Learning: Efficient Convention Emergence from Multilateral Interactions. - Shuyue Hu; Chin-Wing Leung; Ho-fung Leung; Jiamou Liu (ACM Trans. Auton. Adapt. Syst., 2021)

A Q-values Sharing Framework for Multi-agent Reinforcement Learning under Budget Constraint. - Changxi Zhu; Ho-fung Leung; Shuyue Hu; Yi Cai 001 (ACM Trans. Auton. Adapt. Syst., 2021)

Individual-Level Inverse Reinforcement Learning for Mean Field Games. - Yang Chen 028; Libo Zhang 006; Jiamou Liu; Shuyue Hu (AAMAS, 2022)

The Dynamics of Q-learning in Population Games: A Physics-inspired Continuity Equation Model. - Shuyue Hu; Chin-Wing Leung; Ho-fung Leung; Harold Soh (AAMAS, 2022)

A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs. - Chen Chu; Yong Li; Jinzhuo Liu; Shuyue Hu; Xuelong Li 001; Zhen Wang 004 (IJCAI, 2022)

Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information. - Chin-wing Leung; Shuyue Hu; Ho-fung Leung (IJCAI, 2022)

Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach. - Zhen Wang 004; Chunjiang Mu; Shuyue Hu; Chen Chu; Xuelong Li 001 (IJCAI, 2022)

A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games. - Chen Chu; Zheng Yuan; Shuyue Hu; Chunjiang Mu; Zhen Wang 004 (AAAI, 2023)

Emergence of Punishment in Social Dilemma with Environmental Feedback. - Zhen Wang 004; Zhao Song 008; Chen Shen 006; Shuyue Hu (AAAI, 2023)

The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium. - Shuyue Hu; Harold Soh; Georgios Piliouras (NeurIPS, 2023)

Learning by reusing previous advice: a memory-based teacher-student framework. - Changxi Zhu; Yi Cai 001; Shuyue Hu; Ho-fung Leung; Dickson K. W. Chiu (Auton. Agents Multi Agent Syst., 2023)

Heterogeneous Beliefs and Multi-Population Learning in Network Games. - Shuyue Hu; Harold Soh; Georgios Piliouras (CoRR, 2023)

The Stochastic Evolutionary Dynamics of Softmax Policy Gradient in Games. - Chin-wing Leung; Shuyue Hu; Ho-fung Leung (AAMAS, 2024)

Configurable Mirror Descent: Towards a Unification of Decision Making. - Pengdeng Li; Shuxin Li 001; Chang Yang; Xinrun Wang; Shuyue Hu; Xiao Huang 001; Hau Chan; Bo An 001 (ICML, 2024)

A Successful Strategy for Multichannel Iterated Prisoner's Dilemma. - Zhen Wang 004; Zhaoheng Cao; Juan Shi; Peican Zhu; Shuyue Hu; Chen Chu (IJCAI, 2024)

Emergence of Social Norms in Generative Agent Societies: Principles and Architecture. - Siyue Ren; Zhiyao Cui; Ruiqi Song; Zhen Wang 004; Shuyue Hu (IJCAI, 2024)

Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas. - Hao Guo; Chunjiang Mu; Yang Chen; Chen Shen 006; Shuyue Hu; Zhen Wang 004 (CoRR, 2024)

Emergence of Social Norms in Large Language Model-based Agent Societies. - Siyue Ren; Zhiyao Cui; Ruiqi Song; Zhen Wang 004; Shuyue Hu (CoRR, 2024)

Large Language Models Overcome the Machine Penalty When Acting Fairly but Not When Acting Selfishly or Altruistically. - Zhen Wang 004; Ruiqi Song; Chen Shen 006; Shiya Yin; Zhao Song 008; Balaraju Battu; Lei Shi 004; Danyang Jia; Talal Rahwan; Shuyue Hu (CoRR, 2024)

OASIS: Open Agent Social Interaction Simulations with One Million Agents. - Ziyi Yang; Zaibin Zhang; Zirui Zheng; Yuxian Jiang; Ziyue Gan; Zhiyu Wang; Zijian Ling; Jinsong Chen; Martz Ma; Bowen Dong; Prateek Gupta; Shuyue Hu; et al. (CoRR, 2024)

Understanding When and Why Graph Attention Mechanisms Work via Node Classification. - Zhongtian Ma; Qiaosheng Zhang; Bocheng Zhou; Yexin Zhang; Shuyue Hu; Zhen Wang (CoRR, 2024)

Multi-agent, human-agent and beyond: A survey on cooperation in social dilemmas. - Chunjiang Mu; Hao Guo; Yang Chen; Chen Shen 006; Die Hu; Shuyue Hu; Zhen Wang 004 (Neurocomputing, 2024)

Provably efficient information-directed sampling algorithms for multi-agent reinforcement learning. - Qiaosheng Zhang; Chenjia Bai; Shuyue Hu; Zhen Wang 004; Xuelong Li 001 (Artif. Intell., 2025)

EvoFlow: Evolving Diverse Agentic Workflows On The Fly. - Guibin Zhang; Kaijie Chen; Guancheng Wan; Heng Chang; Hong Cheng; Kun Wang 056; Shuyue Hu; Lei Bai 001 (CoRR, 2025)

If Multi-Agent Debate is the Answer, What is the Question? - Hangfan Zhang; Zhiyao Cui; Xinrun Wang; Qiaosheng Zhang; Zhen Wang; Dinghao Wu; Shuyue Hu (CoRR, 2025)

Payoff Control in Multichannel Games: Influencing Opponent Learning Evolution. - Juan Shi; Chen Chu; Guoxi Fan; Die Hu; Jinzhuo Liu; Zhen Wang 004; Shuyue Hu (IEEE Trans. Cybern., 2025)

Nature-Inspired Population-Based Evolution of Large Language Models. - Yiqun Zhang; Peng Ye 006; Xiaocui Yang; Shi Feng 001; Shufei Zhang; Lei Bai 001; Wanli Ouyang; Shuyue Hu (CoRR, 2025)

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. - Ziyu Wan; Yunxiang Li; Yan Song 003; Hanjing Wang; Linyi Yang; Mark Schmidt 001; Jun Wang 012; Weinan Zhang 001; Shuyue Hu; Ying Wen 001 (CoRR, 2025)

Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute. - Jianhao Chen; Zishuo Xun; Bocheng Zhou; Han Qi; Qiaosheng Zhang; Yang Chen; Wei Hu; Yuzhong Qu; Wanli Ouyang; Shuyue Hu (CoRR, 2025)

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs. - Chang Yang; Ruiyu Wang; Junzhe Jiang 002; Qi Jiang; Qinggang Zhang; Yanchen Deng; Shuxin Li 001; Shuyue Hu; Bo Li 037; Florian T. Pokorny; Xiao Huang 001; Xinrun Wang (CoRR, 2025)

Beyond the Tragedy of the Commons: Building A Reputation System for Generative Multi-agent Systems. - Siyue Ren; Wanli Fu; Xinkun Zou; Chen Shen 006; Yi Cai; Chen Chu; Zhen Wang 004; Shuyue Hu (CoRR, 2025)

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging. - Shenghe Zheng; Hongzhi Wang; Chenyu Huang; Xiaohui Wang; Tao Chen 003; Jiayuan Fan 001; Shuyue Hu; Peng Ye 006 (CoRR, 2025)

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants. - Yiqun Zhang; Hao Li; Chenxu Wang; Linyao Chen; Qiaosheng Zhang; Peng Ye 006; Shi Feng 001; Daling Wang; Zhen Wang; Xinrun Wang; Jia Xu; Lei Bai 001; et al. (CoRR, 2025)

Scaling Physical Reasoning with the PHYSICS Dataset. - Shenghe Zheng; Qianjia Cheng; Junchi Yao; Mengsong Wu; Haonan He; Ning Ding 002; Yu Cheng; Shuyue Hu; Lei Bai 001; Dongzhan Zhou; Ganqu Cui; Peng Ye 006 (CoRR, 2025)

Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation. - Yue Yang; MingKang Chen; Qihua Liu; Mengkang Hu; Qiguang Chen; Gengrui Zhang; Shuyue Hu; Guangtao Zhai; Yu Qiao 001; Yu Wang 002; Wenqi Shao; Ping Luo 002 (CoRR, 2025)

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior. - Hao Li; Gengrui Zhang; Petter Holme; Shuyue Hu; Zhen Wang (CoRR, 2025)

Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model. - Jing Liang; Hongyao Tang; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Shuyue Hu; Lei Bai 001; Jianye Hao (CoRR, 2025)

Open-Source LLMs Collaboration Beats Closed-Source LLMs: A Scalable Multi-Agent System. - Shengji Tang; Jianjian Cao; Weihao Lin 002; Jiale Hong; Bo Zhang 069; Shuyue Hu; Lei Bai 001; Tao Chen 003; Wanli Ouyang; Peng Ye 006 (CoRR, 2025)

Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria. - Die Hu; Shuyue Hu; Chunjiang Mu; Shiqi Fan; Chen Chu; Jinzhuo Liu; Zhen Wang (CoRR, 2025)

Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing. - Yiqun Zhang; Hao Li; Jianhao Chen; Hangfan Zhang; Peng Ye 006; Lei Bai 001; Shuyue Hu (CoRR, 2025)