Jie Zhang

Jie Zhang

Associate Professor in Computer Science

Jie Zhang

Welcome to my website.

Research interests

  • Algorithmic game theory
  • Digital data market design
  • Multi-agent systems and LLM-based agents
  • Blockchain and decentralized technologies

Research lab

  • Algorithms, Markets and Agents (AMA) Lab explores the foundations of intelligent decision-making and strategic interaction in digital environments. We study algorithmic game theory, market and mechanism design, multi-agent systems, and decentralized technologies, with particular interests in AI-driven markets, LLM-based agents, data economies, and blockchain-enabled platforms. Our goal is to develop rigorous algorithms, mechanisms, and protocols that are efficient, trustworthy, and socially beneficial.

Recent publications

  • Xiaotie Deng, Yanru Guan, Ningyuan Li, Zihe Wang, Jie Zhang, Selling Data as a Digital Good with Scaling Valuations, in the Proceedings of the 43rd International Conference on Machine Learning (ICML 2026).
  • Gennaro Auricchio, Jie Zhang, Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents, in the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
  • Yan Liu, Zeyu Ren, Pingzhong Tang, Zihe Wang, Yulong Zeng, Jie Zhang, Deterministic implementation in single-item auctions, in the Proceedings of the 35th International Joint Conference on Artificial Intelligence (IJCAI 2026).
  • Gennaro Auricchio, Jie Zhang, The Facility Location Problem with Aleatory Agents, in the Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026).
  • Miao Li, Zixin Gu, Yukun Cheng, Jie Zhang and Dengji Zhao, Incentive Compatible Auctions for Digital Goods with Externalities, in the Proceedings of the 18th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2025) (Best Paper Award).
  • Gennaro Auricchio, Zihe Wang, Jie Zhang, On the Design of Truthful Mechanisms for the Capacitated Facility Location Problem with Two and More Facilities, Artificial Intelligence, 2025.
  • Xiaotie Deng, Yanru Guan, Ningyuan Li, Zihe Wang, Jie Zhang, Ex-Ante Truthful Distribution-Reporting Mechanisms, in the Proceedings of the 21st Conference on Web and Internet Economics (WINE 2025).
  • Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang, Multiplayer General Lotto game, in the Proceedings of the 21st Conference on Web and Internet Economics (WINE 2025).
  • Gennaro Auricchio, Jie Zhang, Leveraging Optimal Transport to Design Optimal Mechanisms for the Facility Location Problem, ACM Transactions on Economics and Computation, 2025.
  • Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang, Stackelberg vs. Nash in the Lottery Colonel Blotto Game, in the Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025).

Updates

  • The 18th International Symposium on Algorithmic Game Theory (SAGT 2025) took place in Bath from September 2nd to 5th, 2025.

Prospective PhD Students

  • I welcome enquiries from prospective PhD students interested in my research areas. Funding for international students is extremely limited. Chinese students applying through the Bath-CSC scheme should note that outcomes are typically announced in June and should contact me only if they would be prepared to accept an offer if successful. Funding for UK Home students occasionally becomes available through grants or other schemes; please get in touch to discuss opportunities.

Contact

  • csjiezhang*gmail&com

  • jz2558*bath&ac&uk