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.
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
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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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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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 journal › Article › peer-review
Open Access -
On Scheduling Mechanisms Beyond the Worst Case
Gao, Y. & Zhang, J., 31 Jan 2025, In: Algorithmica. 87, p. 1-21Research output: Contribution to journal › Article › peer-review
Open Access -
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
Open AccessFile -
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 AccessFile -
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 AccessFile