Zengqing Wu

Biography

Zengqing Wu is a researcher at The University of Osaka under the supervision of Prof. Chuan Xiao. He is also a lecturer for the mathematical modeling course at the Computer Center of China Welfare Institute Children’s Palace. His main research focus is computational social science, especially the application of large language models in computer simulation.

Research Interests

• Computational Social Science: Complex Systems, Agent-Based Modeling, Large Language Models for Social Simulation
• Computational Linguistics: Emergent Language
• Education: Mathematical Modeling, Teaching and Learning Assessment

News

• [Oct. 2025] Gave an oral presentation entitled “Some Initial Attempts and Insights on LLM-Based Social Simulations” at 7th Joint Korea-Japan Workshop on Management of Data (KJMD 2025) @ Busan, South Korea.
• [Oct. 2025] Presented a poster online at the 2025 Michigan AI Symposium.
• [Aug. 2025] The Hidden Strength of Disagreement: We discovered that implicit consensus mechanisms can outperform explicit coordination in dynamic environments requiring long-horizon adaptability, where preserving agent diversity enhances exploration and robustness. Our paper is to appear at EMNLP 2025 (Main) @ Suzhou, China. [Code]
• [Jun. 2025] We argue that LLM-based social simulations need clear boundaries to meaningfully contribute to social science research in our position paper.
• [Mar. 2025] Reached the milestone of 100 citations :)
• [Dec. 2024] Presented a poster at the 2024 Australasian Database Conference (ADC 2024) @ Tokyo Institute of Technology, Tokyo, Japan.
• [Sep. 2024] Shall We Team Up: Following the SABM framework, we discovered the spontaneous cooperation of LLM agents in competing environments. Our paper is to appear at EMNLP 2024 (Findings) @ Miami, USA. [Code]
• [Sep. 2024] LLMob: As a joint work with the University of Tokyo, we developed an LLM agent framework for the generation of personal activity trajectories. This work will appear at NeurIPS 2024. [Code]
• [Jul. 2024] Presented a poster online at the ICML 2024 Workshop Agentic Markets (AMW @ ICML 2024).
• [Jun. 2024] Presented a poster at the Eighth International Workshop on Symbolic-Neural Learning (SNL 2024) @ National Museum of Emerging Science and Innovation (Miraikan), Tokyo, Japan.
• [Jan. 2024] Our paper, which investigates the application of Shannon entropy in assessing students’ abstraction levels to optimize students’ learning process, has been accepted in the IEEE Transactions on Education (ToE).
• [Nov. 2023] SABM: We developed a computer simulation framework that incorporates LLMs into agent-based modeling. [Slides] [Code]

Publications

Education

• Master of Informatics, Kyoto University, 2025
  Supervised by Prof. Takayuki Ito
• Bachelor of Human Sciences, Osaka University, 2023
  Supervised by Prof. Christian Etzrodt and Prof. Chuan Xiao

Awards

Personal Awards

• 2024 NEC Corporation Award, DEIM 2024 / 第22回日本データベース学会年次大会スポンサー賞 日本電気株式会社賞
  Supervised by Prof. Chuan Xiao
• 2022 Teraura Sayoko Scholarship / 寺浦さよ子記念奨学会奨学金
• 2020 Meritorious in Mathematical Contest in Modeling (MCM)
  Supervised by Prof. Koichi Fukase
• 2018 Top 10 Outstanding Youth in Shanghai Changning District / 上海市长宁区第四届“长宁好青年”
• 2018 Finalist in High School Mathematical Contest in Modeling (HiMCM)
• 2015 First Prize of National Olympiad in Informatics in Provinces, Shanghai, China (NOIP)
• 2013 First Prize of Japan Sansu Olympic / 日本算数オリンピック

Supervised Student Awards

• 2021 Outstanding in the International Mathematical Modeling Challenge (IMMC) with co-supervisor Mr. Linfeng Dong
• 2025 Finalist in the International Mathematical Modeling Challenge (IMMC) with co-supervisor Mr. Linfeng Dong
• 2022 Meritorious in High School Mathematical Contest in Modeling (HiMCM)
• 2024 Meritorious in the International Mathematical Modeling Challenge (IMMC) with co-supervisor Mr. Linfeng Dong

Services

International Conference

• Reviewer: ICLR 2024 Workshop LLMAgents, NeurIPS 2024, ICLR 2025, AISTATS 2025, ICML 2025, ACL 2025, NeurIPS 2025 DB Track, EMNLP 2025, ICML 2025 Workshop CFAgentic, ADMA 2025, ICLR 2026
• External Reviewer: CIKM 2022, DASFAA 2023, KDD 2023, ADMA 2023, APWeb-WAIM 2024, EMNLP 2024, ADMA 2024

Journal

• Reviewer: IEEE Access

Professional Memberships

• The Database Society of Japan (DBSJ)
• The Association for Computational Linguistics (ACL)