Yuxuan Chen.AI Agents
03

Curriculum vitae

Education

The University of Hong Kong

MPhil in Computer Science · School of Computing and Data Science

The University of Hong Kong

BEng in Computer Science

Peking University

Undergraduate Exchange Programme · Computer Science

Research experience

LLM Agents for Human Activity Simulation

Beijing Institute for General Artificial Intelligence (BIGAI)

  • Worked with Prof. Fangwei Zhong on LLM agents for simulating human-like daily activities.
  • Designed simulation environments and evaluation protocols for realistic activity generation.
  • Developed the work that became the D2A paper accepted at ICLR 2025.

Graph Augmentation Benchmarking

Center for Machine Learning Research, Peking University

  • During an exchange program, benchmarked graph augmentation methods under the supervision of Prof. Wentao Zhang.

Publications

Google Scholar
  1. 2026

    Law in Silico: Simulating Legal Society with LLM-Based Agents

    Findings of ACL

  2. 2026

    FastCode: Fast and Cost-Efficient Code Understanding and Reasoning

    arXiv preprint

  3. 2025

    AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets

    arXiv preprint

  4. 2025

    Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia

    NeurIPS Datasets & Benchmarks

  5. 2025

    Simulating Human-like Daily Activities with Desire-driven Autonomy

    ICLR