Projects per year
Personal profile
Research interests
Dr. Zhang's research situates the interface between computer science and economics. He is interested in understanding and characterizing the incentives of self-interested agents in competitive and cooperative environments. He analyses agents' decision-making processes and aligns their incentives with the objectives of a system designer by analytical methods. Ultimately, he evaluates and improves system performance in their equilibrium stages, under worst-case guarantees and beyond worst-case scenarios. He has publications in leading journals and peer-reviewed conferences spanning the fields of artificial intelligence, theoretical computer science, and mathematics. As the sole Investigator, Dr. Zhang has been awarded research grants by The Leverhulme Trust and EPSRC.
-- Algorithmic game theory, mechanism design
-- Artificial intelligence, machine learning, multi-agent systems
-- Digital economy, optimization
-- Blockchain protocols and their applications
Dr. Zhang has worked/studied in the following universities (in reverse chronological order): University of Southampton, University of Oxford, Aarhus University, Harvard University, and the City University of Hong Kong.
Willing to supervise doctoral students
If you are interested in pursuing a Ph.D. under Dr. Zhang's supervision, please get in touch by email.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Towards Practical Algorithmic Mechanism Design: Beyond the Worst-Case Analysis
Zhang, J. (PI)
1/11/22 → 13/04/25
Project: UK charity
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Towards Practical Algorithmic Mechanism Design: Beyond the Worst-Case Analysis
Zhang, J. (PI)
30/11/21 → 29/11/24
Project: UK charity
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Logistics Optimisation After Brexit and COVID-19
Zhang, J. (PI)
Engineering and Physical Sciences Research Council
1/02/23 → 1/07/24
Project: Research council
Research output
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Bounded incentives in manipulating the probabilistic serial rule
Huang, H., Wang, Z., Wei, Z. & Zhang, J., 31 Mar 2024, In: Journal of Computer and System Sciences. 140, 15 p., 103491.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (SciVal)97 Downloads (Pure) -
Bounded incentives in manipulating the probabilistic serial rule
Huang, H., Wang, Z., Wei, Z. & Zhang, J., 31 Mar 2024, In: Journal of Computer and System Sciences. 140, 103491.Research output: Contribution to journal › Article › peer-review
1 Citation (SciVal) -
Cost Minimization for Equilibrium Transition
Huang, H., Wang, Z., Wei, Z. & Zhang, J., 25 Mar 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 9 ed. Association for the Advancement of Artificial Intelligence (AAAI), Vol. 38. p. 9765-9772 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile68 Downloads (Pure) -
Decentralized Funding of Public Goods in Blockchain System: Leveraging Expert Advice
Li, J., Cheng, Y., Huang, W., Zhang, M., Fan, J., Deng, X., Xie, J. & Zhang, J., 30 Jun 2024, In: IEEE Transactions on Cloud Computing. 12, 2, p. 725-736 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile71 Downloads (Pure) -
Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design
Auricchio, G., Zhang, J. & Zhang, M., 10 May 2024, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2024-May, p. 87-95 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Citation (SciVal)