- 2025.9: Two papers accepted to NeurIPS 2025: 'EconGym: A Scalable AI Testbed with Diverse Economic Tasks' and 'MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework'
- 2025.7: Paper accepted to ECAI 2025: 'Learning Macroeconomic Policies through Dynamic Stackelberg Mean-Field Games'
- 2025.6: Released EconGym, a unified simulation platform covering 25+ real-world economic tasks
- 2025.5: Presented at AAMAS 2025 and participated in the AAMAS Competition
- 2025.3: AAMAS 2025 Computational Economic Competition officially started
- 2024.12: Attended the 4th Workshop on Network Economics and Game Theory and gave talks at Shanghai Jiao Tong University and Fudan University
- 2024.10: Started a visiting position in Prof. Bo An’s group
- 2024.9: Paper accepted to NeurIPS 2024: 'Large Language Models Play StarCraft II: Benchmarks and a Chain of Summarization Approach'
- 2024.5: Attended AAMAS 2024 and gave an oral presentation
- 2023.12: Paper accepted to AAMAS 2024 (Oral): 'TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning'
Research Experience
- Member of the Collective Decision Intelligence Lab at CASIA
- Visiting Ph.D. student at NTU, collaborating with Prof. Bo An
- Closely collaborating with Prof. Bo Li from Peking University on research at the intersection of AI and economics
Education
- Ph.D. in Pattern Recognition and Intelligent Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Aug. 2021 – Present, Supervisors: Prof. Jun Wang and Prof. Haifeng Zhang
- Visiting Ph.D. in College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Oct. 2024 – Aug. 2025, Supervisor: Prof. Bo An
Background
- Research Interests: Reinforcement Learning agents, Large Language Model agents, Multi-Agent Systems, Population-agent system, Game Theory
- Professional Fields: AI and Economics, including Agent-based modeling, Economic simulations, and Social simulations
Miscellany
- Currently on the job market for Fall 2026 positions