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The 18th International Symposium on Algorithmic Game Theory (SAGT 2025) will take place in Bath from September 2nd to 5th, 2025. We look forward to welcoming you here!

Research interests

Dr. Zhang leads a research lab in game theory, focusing on algorithmic decision-making, incentive design, and agent coordination in both competitive and cooperative settings. His work develops analytical tools to align individual incentives with system-level goals, with the aim to optimize system performance at equilibrium. His research involves worst-case guarantees and beyond worst-case analysis, designing mechanisms that remain effective under a broad range of conditions.

Beyond game theory, Dr. Zhang also conducts research on blockchain protocols and their applications, machine learning, and multi-agent systems. He has received independent research funding as principal investigator from The Leverhulme Trust and EPSRC. His broader interests extend to the digital economy and optimization.

Teaching interests

Dr Zhang is the unit leader for CM12006 - Mathematics for Computation (first year) and CM20316 - Artificial Intelligence 2 (second year).

Willing to supervise doctoral students

I do not have funding for international students. If you are a Chinese student applying through the Bath-CSC scheme, please note that results are usually released in June. Only apply to me if you are fully committed to accepting the offer if successful.

Occasionally, I may have funding for UK Home students through other channels. Feel free to ask.

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Collaborations and top research areas from the last five years

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  • I Can Still Steal Your Encoder: A Defense-Penetrating Encoder-Stealing Attack

    Xiao, R., Dong, C., Zhang, J., Pang, Y., Xie, Z. & Wu, H., 24 Jan 2026, Pattern Recognition and Computer Vision - 8th Chinese Conference, PRCV 2025, Proceedings. Kittler, J., Xiong, H., Lin, W., Yang, J., Chen, X., Lu, J., Yu, J. & Zheng, W. (eds.). Singapore: Springer, p. 483-501 19 p. (Lecture Notes in Computer Science; vol. 16289 LNCS).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

  • A Game Theory Reward Model for Federated Learning with Probabilistic Verification

    Auricchio, G., Clough, H. J., Ho, C., Bian, K., Dong, C., Yang, K. & Zhang, J., 16 Sept 2025, DAI '24: Proceedings of the 2024 6th International Conference on Distributed Artificial Intelligences. New York, U. S. A.: Association for Computing Machinery, p. 13-21 9 p. (ACM International Conference Proceeding Series).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    Open Access
  • Edge Manipulations for the Maximum Vertex-Weighted Bipartite b-matching

    Auricchio, G., Liu, J., Ma, Q. & Zhang, J., 20 Jan 2025, In: ACM Transactions on Intelligent Systems and Technology. 16, 1, p. 1-26 12.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction

    Feng, J., Chen, M., Pu, Z., Qiu, T., Yi, J. & Zhang, J., 19 Feb 2025, (E-pub ahead of print) In: IEEE Transactions on Cognitive and Developmental Systems.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    4   Link opens in a new tab Citations (SciVal)
    146 Downloads (Pure)
  • Fair Value Distribution in Cooperative Committee Election

    Qin, Y., Ren, Z., Wang, Z. & Zhang, J., 30 Jun 2025, Frontiers of Algorithmics - 19th International Joint Conference, IJTCS-FAW 2025, Proceedings. Chau, V., Dürr, C., Li, M. & Lu, P. (eds.). Singapore: Springer, Singapore, p. 372-384 13 p. (Lecture Notes in Computer Science; vol. 15828 LNCS).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    Open Access
    File
    32 Downloads (Pure)