Multi-Agent AI Systems
Analyzing and optimizing interactions in multi-agent AI systems.
I am a Ph.D. student at the School of Computer Science, The University of Auckland.
Previously, I received my M.S. degree in Computer Technology from the University of Electronic Science and Technology of China (UESTC) in 2025 and my B.S. degree from UESTC in 2022.
Research
My research lies at the intersection of Artificial Intelligence and Economic Theory, with a focus on understanding and optimizing interactions among intelligent agents and designing effective mechanisms for emerging AI ecosystems.
Specifically, my research topics center on Multi-Agent AI Systems and AI Marketplace Design, especially in:
- Multi-Agent AI Systems: Interaction, coordination, and decision-making
- Decentralized AI: Decentralized mechanisms and architectures
- AI Marketplace Design: Markets, incentives, and mechanisms for AI
- Game Theory & Mechanism Design: Strategic interactions in AI systems
AI Marketplace Design
Designing effective mechanisms for the AI marketplace.
News
| 2026-09 | A2A Auction Protocol: An auction business protocol for AI agents communicating over A2A. |
|---|---|
| 2026-08 | One paper multi-agent Webpage Generation is accepted by EMNLP 2026. |
| 2026-04 | My Chrome extension QuickPage Capture is now available on the Chrome Web Store. |
Publications
View All- EMNLP
WebWeaver: Style-Aware Webpage Generation with Style Contracts
A style-aware webpage generation framework that uses multi-agent collaboration and style contracts to control and preserve visual design intent.
- ECML PKDD
Mechanism Design for a Sustainable Federated Session Recommender System
A mechanism-design approach for sustainable federated session-based recommender systems.
- PIMRC
Contract-based Incentive Mechanism for AI-Generated Content Services in Vehicle Edge Computing
A contract-theoretic incentive mechanism for AI-generated content services in vehicle edge computing.
- IoTJ
Energy-Efficient Joint Optimization of Sensing and Computation in MEC-assisted IoT Using Mean-Field Game
Joint optimization of sensing and computation in MEC-assisted IoT systems using mean-field game theory.
- IoTJ
Blockchain-Based Resource Trading in Multi-UAV Edge Computing System
A blockchain-enabled resource trading framework for multi-UAV edge computing systems.
- Globecom
Contract-Based Incentive Mechanism for Blockchain-Enabled Federated Learning in Vehicle Edge Computing
A contract-based incentive framework for blockchain-enabled federated learning in vehicle edge computing.
Teaching
Courses I have assisted with at the University of Auckland.
2026 Semester Two
COMPSCI 120: Mathematics for Computer Science
Graduate Teaching Assistant
The University of Auckland, New Zealand.
2026 Semester Two
COMPSCI 220: Algorithms and Data Structures
Graduate Teaching Assistant
The University of Auckland, New Zealand.
2026 Semester One
COMPSCI 120: Mathematics for Computer Science
Graduate Teaching Assistant
The University of Auckland, New Zealand. May 2026 - Jun. 2026.
2026 Summer School
COMPSCI 120: Mathematics for Computer Science
Graduate Teaching Assistant
The University of Auckland, New Zealand. Nov. 2025 - Feb. 2026.