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
Projects
- 3 Active
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Logistics Optimisation After Brexit and COVID-19
Engineering and Physical Sciences Research Council
1/02/23 → 31/01/24
Project: Research council
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Towards Practical Algorithmic Mechanism Design: Beyond the Worst-Case Analysis
1/11/22 → 30/11/24
Project: UK charity
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Towards Practical Algorithmic Mechanism Design: Beyond the Worst-Case Analysis
30/11/21 → 29/11/24
Project: UK charity
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Edge-FVV: Free Viewpoint Video Streaming by Learning at the Edge
Zhang, H., Zhang, J., Feng, W., Bian, K. & Tuo, H., 14 Jul 2023, Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023. U. S. A.: IEEE, p. 2009-2014 6 p. (Proceedings - IEEE International Conference on Multimedia and Expo; vol. 2023-July).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile -
Fluorometric detection of volatile amines using an indanonalkene platform
Zhang, P., Wu, T., Cao, H., Zhang, J., James, T. D. & Sun, X., 10 Jan 2023, (E-pub ahead of print) In: Organic Chemistry Frontiers. 10, 6, p. 1393-1398 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Node Conversion Optimization in Multi-hop Influence Networks
Zhang, J., Lv, Y. & Wang, Z., 2 Jun 2023, Proceedings of the 22nd International Joint Conference on Autonomous Agents and Multiagent Systems. Vol. 2023-May. p. 2205-2212 8 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile -
Beyond the worst-case analysis of random priority: Smoothed and average-case approximation ratios in mechanism design
Deng, X., Gao, Y. & Zhang, J., 31 May 2022, In: Information and Computation. 285, Part B, 104920.Research output: Contribution to journal › Article › peer-review
Open Access -
From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems
Divband Soorati, M., Gerding, E., Marchioni, E., Naumov, P., Norman, T., Ramchurn, S., Rastegari, B., Sobey, A., Stein, S., Tarapore, D., Yazdanpanah, V. & Zhang, J., 6 Sept 2022, In: AI Communications. 35, 4, p. 443-457 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal)