🔥 News

• 2025.03  🎉🎉 One first-author paper accepted by The Thirteenth International Conference on Learning Representations (ICLR 2025) (workshop).
• 2024.12  🎉🎉 One co-first-author paper accepted by The 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025) (oral).
• 2024.12  🎉🎉 One first-author paper accepted by The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) (oral, top 4.65%).
• 2024.10  🎉🎉 One co-first-author paper accepted by Australasian Database Conference 2025 (oral & best paper runner-up), and published at Springer Nature.
• 2024.09  🎉🎉 One paper accepted by Journal of Geophysical Research - Atmospheres.
• 2024.09  🎉🎉 One invention patent is published.
• 2024.05  🎉🎉 One invention patent is officially granted.
• 2023.12  🎉🎉 As technical co-founder, I co-founded one enterprise named “Metasequoia Intelligence”.

😊 About me

Greetings! I am Zhenglin Wan (万政霖 in Chinese), an undergraduate student at CUHK-Shenzhen, majoring in Data Science. You can find my most-updated CV at CV. My primary research interests lie in: Decision-Making in Machine Learning: How to embed the human’s learning and decision-making patterns into machine’s learning paradigm, such as Reinforcement Learning, Imitation Learning, Multi-agent systems? How to enable intelligent agent to perform high-level planning and strategic thinking? I am also interested in adopting statistics and optimization view to understand these problems.

I have been an intern researcher at Centre for Frontier AI Research, (A*STAR) at Singapore, under the supervision of Dr. Xingrui Yu and Prof. Ivor Tsang. During my undergraduate, I am lucky to work with Dr. Jun Song and co-found one company, as technical collaborator, named “Metasequoia Intelligence” with him. We have published serveral invention patents and academic papers together. Prior to that, I was the key member of the research group of Prof. Jianfeng Mao, playing a key role in a project regarding decision-making systems in transportation network.

I am always open to academic collaborations, please drop me an email if you are interested (email: vanzl3386@gmail.com)

📝 Selected Publication List

Published (Accepted) Papers

(†: co-first author & equal contribution, *: corresponding author)

• Imitation From Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration

  Author: Xingrui Yu†, Zhenglin Wan†, David Bossens, Yueming Lyu, Qing Guo, Ivor Tsang*
  The 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025) （oral）

• POI Recommendation via Multi-Objective Adversarial Imitation Learning
  Author: Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao*, Jun Song, Maohao Ran
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) (oral)

• Generative Quality Diversity Imitation Learning for Robot Skill Acquisition
  Author: Zhenglin Wan†, Xingrui Yu†, David Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor Tsang*
  The Thirteenth International Conference on Learning Representations (ICLR 2025) (workshop on Generative Models for Robot Learning)

• Machine Learning-Driven Spatiotemporal Analysis of Ozone Exposure and Health Risks in China (AGU)
  Author: Chendong Ma, Jun Song*, Maohao Ran, Zhenglin Wan, Yike Guo, Meng Gao
  Journal of Geophysical Research - Atmospheres (DOI: https://doi.org/10.1029/2024JD041593)

• Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching (Springer Nature)
  Author: Anjun Gao†, Zhenglin Wan†, Pingfu Chao*, Shunyu Yao

  Australasian Database Conference 2024 (oral & best paper runner-up) (DOI: https://doi.org/10.1007/978-981-96-1242-0_4)

Manuscripts under Review

• Towards Diverse Robot Locomotion Behaviors with Extrinsic Behavioral Curiosity
  Author: Zhenglin Wan, Xingrui Yu, David Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew Soon Ong, Ivor Tsang*

• AsyncGuard: Secure Asynchronous Federated Learning
  Author: Anjun Gao, Feng Wang, Zhenglin Wan, Zhuqing Liu, Minghong Fang*

• Graph-based Reinforcement Learning Approach for Influential Node Detection in Airport Delay Networks
  Author: Chi Li, Zhenglin Wan, Kaize Wang, Yuxuan Huang, Chengxi Li, Jianfeng Mao*

• GESEN: Graph-Enhanced Self-Supervised Embedding Network for Next POI Recommendation
  Author: Anjun Gao†, Zhenglin Wan†, Pingfu Chao*, Jiajie Xu, Tao Gong, Jun Song*

Invention Patents

As these works are patented in China, all these names are directly translated from Chinese.

• A Method, System, Terminal Device, and Storage Medium for Air Quality Spatial Inference (Granted)

  Inventor: Jun Song, Yibo Xu, Yiwen Pan, Maohao Ran, Zhenglin Wan, Xiaoyun Yan, Yike Guo

• A Single-UAV Atmospheric Pollutant Source Tracing Method Based on Gradient Ascent and Physical Kinematics (Public)

  Inventor: Zhenglin Wan, Jun Song, Yibo Xu, Maohao Ran, Yike Guo

• A Large Language Model Learning Method Based on Agent-Based Collaborative Reasoning and Action (submitted)
• An Atmospheric Pollutant Source Tracing Algorithm Based on Improved Swarm Optimization and Path Planning (submitted)

🎖 Honors and Awards

• Zhejiang Guolong Inspirational (Undergraduate Admission Scholarship: for First-Prize in Chinese Mathematics Olympics (CMO)-1st Round)
  September 2021

• Diligentia Bowen II Scholarship (Undergraduate Admission Scholarship: for Top 0.5% in Chinese College Entrance Exam)

  September 2021

• Yearly Dean List Award (Outstanding Academic Performance)
  Consecutive three years: September 2022 - September 2024

• Yearly Academic Scholarship: C Class (Year GPA Top 5%)
  Second Academic Year: September 2023

• Yearly Academic Scholarship: B Class (Year GPA Top 3%)
  Third Academic Year: September 2024

📖 Educations and Standarlized Tests

• 2021.09 - 2025.06 (now), The Chinese University of Hong Kong, Shenzhen

  (Degree: Bsc; Major: Data Science; Cumulative GPA: 3.75/4.0; Major GPA: 3.84/4.0; Rank: top 7%)

• GRE: 331 (Verbal: 161 + quant: 170 + writing: 3.5)
• TOEFL: 101 (R: 28 + L: 26 + S: 23 + W: 24)

💬 Press/Media

White Paper

• The co-author of the first White Paper on Cross-Border Economic Large Language Model in Shenzhen, China. 深圳卫视：深圳发布首个跨境经济大模型白皮书

💻 Internships

• 2023.07 - 2024.01, Machine Learning Algorithm Engineerer, HUIYINTONG, China.
• 2024.07 - 2024.10, Intern Researcher, Agency for Science, Technology and Research A*STAR, Singapore

Personal Life and History

When I’m not doing research, I’m an music enthusiast. I’ve been playing guitar for more than 10 years and began teaching myself the piano and electronic piano at the age of 15. Music has always been a significant part of my life. During my undergraduate, I had the incredible opportunity to play in two bands: “Minor Blue” and “Major Pink.” These moments remain some of my most cherished memories. See our photos:

I am also a 15-years chess player, with the honor of “National Level-3 Athlete”. I love the process of comprehensive planning, logical-thinking and inferring. Visit my Lichess profile and play chess with me!

Several years ago, I was once diagnosised with Obsessive-Compulsive Disorder (OCD, 强迫症 in Chinese), specifically Obsessive-Thinking, a mental illness as painful as depression. My mind would get stuck on meaningless details, both academic and personal, generating unrelentless ideas or questions and I couldn’t control it. Realizing that medicine doesn’t work for me, I have to rescue myself through the wisdom in mind-philosophy books and exploring Buddhist and Taoist philosophies. The most inspiring part of this journey was learning to practice mindfulness (“正念” in Chinese）—observing what was happening inside my mind without judging it and finding inner peace, allowing my brain to become my tool rather than being controlled by it. This experience became a valuable treasure, shaping my attitude towards life and challenges afterwards. I’d like to recommend you the book The Power of Now, along with Buddhist classics like The Diamond Sutra and Taoist texts like Tao Te Ching and Zhuangzi, which are beneficial to all of us, especially who are facing similar difficulties.