I am a Ph.D. student at the School of Computer Science, The University of Auckland. Previously, I completed my Master's degree in Computer Technology at the University of Electronic Science and Technology of China (UESTC) in 2025. I also earned my Bachelor's degree from UESTC in 2022.

My research primarily focuses on two areas: analyzing and optimizing interactions in multi-agent AI systems, and designing effective mechanisms for the AI marketplace. I am also interested in mobile computing, wireless communications, and networking.

News

Runchen Xu

Research

Multi-Agent AI Systems

Multi-Agent AI Systems

TL;DR: Analyzing and optimizing interactions in multi-agent AI systems.

Decentralized Artificial IntelligenceMulti-Agent AI Systems
AI Marketplace Design

AI Marketplace Design

TL;DR: Designing effective mechanisms for the AI marketplace.

AI Marketplace DesignGame Theory

Publications

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  1. 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.

  2. ECML PKDD

    Mechanism Design for a Sustainable Federated Session Recommender System

    A mechanism-design approach for sustainable federated session-based recommender systems.

  3. 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.

  4. 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.

  5. IoTJ

    Blockchain-Based Resource Trading in Multi-UAV Edge Computing System

    A blockchain-enabled resource trading framework for multi-UAV edge computing systems.

  6. 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.

Undergraduate · CS
2026 Semester Two
COMPSCI 220: Algorithms and Data Structures
Graduate Teaching Assistant

The University of Auckland, New Zealand.

Undergraduate · CS
2026 Semester One
COMPSCI 120: Mathematics for Computer Science
Graduate Teaching Assistant

The University of Auckland, New Zealand. May 2026 - Jun. 2026.

Undergraduate · CS
2026 Summer School
COMPSCI 120: Mathematics for Computer Science
Graduate Teaching Assistant

The University of Auckland, New Zealand. Nov. 2025 - Feb. 2026.

Undergraduate · CS