Welcome to Bin Zhang’s Personal Homepage!
I am a fifth-year Ph.D. student at the Institute of Automation, Chinese Academy of Sciences. My research interests include Reinforcement Learning, Multi-agent System, and Large Language Model (LLM) Agents. I am very fortunate to be advised by Prof. Guoliang Fan (范国梁) of the Key Laboratory of Cognition and Decision Intelligence for Complex Systems.
My research centers on developing advanced AI algorithms, particularly in multi-agent reinforcement learning, to enable autonomous agents to cooperate, compete, and adapt in complex environments. Additionally, I explore the collaborative skills and tool-learning capabilities of Large Language Model (LLM) agents, aiming to enhance the effectiveness of autonomous systems in dynamic, multi-agent settings, and I have published 20+ papers at the international AI conferences.
If you are interested with my experience or research. Plese feel free to contact with me via Email or Wechat.
🔥 News
- 2025.04: 🎉🎉 One paper has been accepted by IJCNN!
- 2025.02: 🎉🎉 One paper has been accepted by TMLR & ICLR 2025 Workshop on DATA-FM!
- 2025.01: 🎉🎉 One paper with co-first authorship has been accepted by DASFAA 2025!
- 2024.12: 🎉🎉 One paper has been accepted by AAMAS 2025!
- 2024.12: 🎉🎉 One paper has been accepted by AAAI 2025!
- 2024.10: 🎉🎉 One paper with co-first authorship has been accepted by EMNLP 2024 Industry Track!
- 2024.08: 🎉🎉 Two papers have been accepted by ICONIP 2024!
- 2024.05: 🎉🎉 One first-author paper has been accepted by ICML 2024!
- 2024.04: 🎉🎉 One paper has been accepted by IJCAI 2024!
- 2024.03: 🎉🎉 One paper has been accepted by IJCNN 2024!
- 2024.02: 🎉🎉 One first-author paper has been accepted by ICLR 2024 Workshop on LLM Agents!
- 2024.02: 🎉🎉 One paper with co-first authorship has been accepted by ICLR 2024 Workshop on LLM Agents!
- 2023.12: 🎉🎉 Two papers have been accepted by AAMAS 2024!
- 2023.12: 🎉🎉 One paper has been accepted accepted by ICASSP 2024!
- 2023.09: 🎉🎉 One paper has been accepted by NeurIPS 2023!
- 2023.04: 🎉🎉 One first-author paper has been accepted by IJCAI 2023!
📖 Educations
- 2020.09 - 2025.06
Ph.D. Candidate in Institute of Automation, Chinese Academy of Sciences
- 2016.09 - 2020.06
B.E. in School of Control Science and Engineering, Shandong University
💬 Research Interest
- Reinforcement Learning
- Multi-agent Coordination
- LLM agents (Tool Learning, Text-to-SQL, Text-based Game)
📝 Publications
NIPS 2023 Workshop
Tptu: Task planning and tool usage of large language model-based ai agents
Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao
- We propose a structured framework tailored for LLM-based AI Agents and discuss the crucial capabilities necessary for tackling intricate problems.
arXiv:2403.02951
Benchmarking the text-to-sql capability of large language models: A comprehensive evaluation
Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li, Hangyu Mao
- We evaluate LLMs through five Text-to-SQL related tasks, reveal performance differences and suggest task-specific optimization strategies.
IJCNN 2025Enhancing Branching Policy Generalization through Self-Supervised Adversarial Instance Augmentation, Ce Zhang, Bin Zhang, Guoliang FanDASFAA 2025PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency, Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Rui Zhao, Hangyu MaoAAMAS 2025Unveiling Decision Intention for Cooperative Multi-Agent Reinforcement Learning, Zeren Zhang, Zhiwei Xu, Guangchong Zhou, Dapeng Li, Bin Zhang, Guoliang FanAAAI 2025Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation, Dapeng Li, Na Lou, Zhiwei Xu, Bin Zhang, Guoliang FanICML 2024Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems, Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, and Guoliang FanIJCAI 2024PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning, Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing ChangICLR 2024 Workshop on LLM AgentsControlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach, Bin Zhang, Hangyu Mao, Jingqing Ruan, et al.EMNLP 2024 Industry TrackBoosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems, Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, et al.IJCNN 2024SGCD: Subgroup Contribution Decomposition for Multi-Agent Reinforcement Learning, Hao Chen, Bin Zhang, Guoliang Fan.AAMAS 2024PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning, Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, et al.AAMAS Extended Abstract 2024From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL, Dapeng Li, Zhiwei Xu, Bin Zhang, and Guoliang Fan.ICASSP 2024Adaptive Parameter Sharing for Multi-Agent Reinforcement Learning, Dapeng Li, Na Lou, Bin Zhang, Zhiwei Xu, Guoliang FanICONIP 2024Decentralized Extension for Centralized Multi-Agent Reinforcement Learning via Online Distillation, Zeren Zhang, Bin Zhang, Guangchong Zhou, Dapeng Li, Zhiwei Xu and Guoliang FanICONIP 2024GATE: Guided Contrastive State Space for Multi-Agent Reinforcement Learning, Hao Chen, Bin Zhang and Guoliang FanNeurIPS 2023Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL, Zhiwei Xu, Bin Zhang, Dapeng Li, Guangchong Zhou, Zeren Zhang, Guoliang FanIJCAI 2023Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning, Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang FanIJCNN 2023SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning, Dapeng Li, Zhiwei Xu, Bin Zhang, Guoliang FanAAAI 2023Consensus Learning for Cooperative Multi-Agent Reinforcement Learning, Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang FanAAAI 2023HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism, Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, and Guoliang FanNeurIPS 2022Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning, Zhiwei Xu, Dapeng Li, Bin Zhang, Yuan Zhan, Yunpeng Bai, and Guoliang FanICONIP 2022Multi-Agent Hyper-Attention Policy Optimization, Bin Zhang, Zhiwei Xu, Yiqun Chen, Dapeng Li, Yunpeng Bai, Guoliang Fan, and Lijuan LiICONIP 2022Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network, Bin Zhang, Yunpeng Bai, Zhiwei Xu, Dapeng Li, and Guoliang FanIJCNN 2022Cooperative Multi-agent Reinforcement Learning with Hypergraph Convolution, Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu LiuAAMAS 2022SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning, Zhiwei Xu, Yunpeng Bai, Dapeng Li, Bin Zhang, and Guoliang FanICONIP 2022Learning to Coordinate via Multiple Graph Neural Networks, Zhiwei Xu, Bin Zhang, Yunpeng Bai, Dapeng Li, and Guoliang Fan
🧑🎨 Preprint
arXiv:2504.12961QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?, Zhouyang Jiang, Bin Zhang, Airong Wei, Zhiwei XuarXiv:2403.02951Benchmarking the text-to-sql capability of large language models: A comprehensive evaluation, Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li, Hangyu Mao- Constructing Informative Subtask Representations for Multi-Agent Coordination, Guangchong Zhou, Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guoliang Fan
arXiv:2408.09501Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning, Zhiwei Xu, Hangyu Mao, Nianmin Zhang, Xin Xin, Pengjie Ren, Dapeng Li, Bin Zhang, Guoliang Fan, Zhumin Chen, Changwei Wang, Jiangjin Yin
🥇 Honors and Awards
- 2023, Future Star Award, SenseTime Research (Intern Top 1)
- 2023, Merit Student, University of Chinese Academy of Sciences
- 2022, Climbing Scholarship, University of Chinese Academy of Sciences
- 2020, Outstanding Graduates, Shandong Province
- 2020, Weichai Power Scholarship, Shandong University
- 2017-2019, National Scholarship, Ministry of Education (2 times)
- 2017-2020, First-class Scholarship, Shandong University (3 times)
🌠 Academic Services
Program Committee Member or Reviewer:
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- Applied Soft Computing Journal
- International Conference on Learning Representations (ICLR 2024)
- International Conference on Machine Learning (ICML 2024)
- AAAI Conference on Artificial Intelligence (AAAI 2025)
- International Joint Conference on Artificial Intelligence (IJCAI 2024)
- International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025)
- International World Wide Web Conference (WWW 2025)
💻 Internships
- 2023.07 - 2024.04, SenseTime Research, China.