😊 About me

Resume: Resume (Updated on 6 Jan, 2026)

Contact: vanzl3386 [at] gmail.com (preferred), vanzl [at] u.nus.edu, 121090525 [at] link.cuhk.edu.cn


Hi! I am Zhenglin Wan (万政霖), a first-year CS Ph.D. student at HPC-AI Lab at National University of Singapore (NUS), advised by Prof. Yang You and supported by NUS Research Scholarship. Previously, I worked as a full-time researcher in Nanyang Technological University (NTU) with Prof. Bo An. I received my B.Sc from Chinese University of Hong Kong (CUHK) on 2025 Fall (completed undergrad in Shenzhen campus). I also have spent a long time working with Prof. Ivor Tsang at Centre for Frontier AI Research (CFAR), IHPC, A*STAR in Singapore, and have interned at Hong Kong Generative AI Research & Development Center (HKGAI), led by provost Prof. Yike Guo in HKUST.


I am a RL (Reinforcement Learning) believer. Previously I mainly studied improving RL or inverse RL from algorithmic side: such as improving the policy diversity (like EBC) and policy expressiveness (like GoRL). Recently, I am focusing on RL and LLM Agent. Specifically:

  • The synergy/relationship between RL post-training and world model in LLM Agent.
  • Efficiency in LLM Agent systems and RL post-training infrastructures.

I am grateful to have received help and guidance for my career from so many people—such as Flint, Song, David, Ivor, Bo, Xingrui, and many others. I also understand many truly talented students may not have the opportunities to reach their full potential. So, if you are an undergrad or master student and believe I could offer advice, information, or opportunities that might help with your career, feel free to reach out to me by email. Meanwhile, I am also a student mentor in CFAR, IHPC, A*STAR and HPC-AI Lab in NUS. If you need visiting, intern, RA opportunities or unofficial Ph.D applicaiton consultation, you are welcomed to drop me an email for a chat.

My honor to have mentored and worked with these talented individuals:

Mentees (research-based, from CFAR, IHPC, A*STAR or NUS HPC-AI Lab):
  • Yaxin Zhou (Master's student @ CMU, America; Author of [[CaveAgent]])
  • Jingxuan Wu (Master's student @ UNC, America; Author of [[OSCAR]])
  • Xu Pan (Master’s student @ Wuhan University)
  • Chubin Zhang (Master’s student @ Beijing University of Posts and Telecommunications; Author of [[GoRL]])
  • Dongchu Xie (Undergrad @ CUHK(SZ))
  • Xin Yan (Undergrad @ Beijing Normal University)

🔥 News

  • 2026.01  🎉 We released our new work CaveAgent (a new product-inspired function calling paradigm for LLM Agent) ([Paper], [Source Code])!
  • 2025.12  🎉 We released our new work GoRL for online Reinforcement Learning with generative policies. ([Paper], [Code])
  • 2025.10  🎉 Our paper FM-IRL (Flow Matching for inverse RL) is on Arxiv. ([Paper], [Code]).
  • 2025.10  🎉 OSCAR (training free technique for diverse image generation) is on Arxiv. ([Paper], [Code]).
  • 2025.08  🎉🎉 Received my B.Sc from The Chinese University of Hong Kong with 1-st class honor, looking forward to new journey!
  • 2025.05  🎉🎉 EBC is accepted by ICML 2025 (Code available).
  • 2025.03  🎉🎉 One paper accepted by ICLR 2025 (generative models for robot learning workshop).
  • 2024.12  🎉🎉 One paper accepted by AAMAS 2025 (oral).
  • 2024.12  🎉🎉 One paper accepted by AAAI 2025 (oral).
  • 2024.09  🎉🎉 One invention patent is published.
  • 2024.09  🎉🎉 Awarded Academic Performance Scholarship (for top 5% students) for consecutive two years.
  • 2024.05  🎉🎉 One invention patent is officially granted.
  • 2023.12  🎉🎉 As tech co-founder, I co-founded enterprise “Metasequoia Intelligence” based in Shenzhen, China.
  • 2021.09  🎉🎉 Awarded Zhejiang Guolong Inspirational and Diligentia Bowen Scholarship to support my undergraduate studies in CUHK(SZ).
  • 2019.09  🎉🎉 Lucky to win the 1-st prize in Provincial Chinese Mathematics Olympiad (CMO). Thanks for this intellectually-rewarding experience.

📝 Selected Publications

Conference papers and Preprints

Please scroll down to view all publications. * denotes joint-first-author and equal contribution.

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

White Paper

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

  • White Paper on Cross-Border Economic Large Language Model

📖 Educations

  • Doctor of Philosophy (Ph.D)

    National University of Singapore (NUS)

    • Affiliation: Department of Computer Science, School of Computing
    • Advisor: Prof. Yang You

    2026.01 -

    NUS
  • Bachelor of Science (B.Sc)

    The Chinese University of Hong Kong (CUHK)

    • 1-st class honor
    • Major: Statistics & Data Science, GPA: 3.85/4.0, Rank: 7%
    • Finished my undergraduate in CUHK-Shenzhen campus, while the degree is offered by CUHK.

    2021.09 - 2025.08

    CUHK(SZ)

💻 Internships and Work Experiences

  • Full-time Research Staff

    Nanyang Technological University, Singapore

    • Affiliation: College of Computing and Data Science (CCDS)
    • Advisor: Prof. Bo An

    2025.09 - 2026.01

    NTU
  • Intern (Remote)

    Hong Kong Generative AI Research & Development Center (HKGAI), HKUST

    • Affiliation: HKGAI
    • Director: Prof. Yike Guo
    • Proposed a new product-inspired Agentic Function Calling paradigm ([[CaveAgent]]).

    2025.05 - 2025.09

    HKGAI
  • Intern Researcher

    Agency for Science, Technology and Research (A*STAR), Singapore

    • Affiliation: Centre for Frontier AI Research (CFAR), Institute of High Performance Computing (IHPC)
    • Advisor: Prof. Ivor Tsang, Dr. Xingrui Yu

    2024.07 - 2025.09 (3 months full-time + 11 months part-time)

    A*STAR
  • Research Assistant

    The Chinese University of Hong Kong, Shenzhen

    • Affiliation: School of Data Science
    • Advisor: Prof. Jianfeng Mao

    2023.06 - 2024.06

    CUHK(SZ)
  • Machine Learning Algorithm Engineer Intern

    HUIYINTONG, Shenzhen, China

    • Mentor: Dr. Jun Song

    2023.07 - 2024.01

🎈 Services

  • Reviewer of AAAI, ICLR, ICML, NeurIPS

🎖 Honors, Awards and Scholarships

  • NUS Research Scholarship (approx. ¥250000/year plus full tuition fee subsidy, for entire Ph.D studies in NUS)

  • 1-st class honor undergraduate student awarded by The Chinese University of Hong Kong

  • Yearly Academic Scholarship: B Class (for GPA Top 3%, ¥40000)

  • Yearly Academic Scholarship: C Class (for GPA Top 5%, ¥20000)

  • Yearly Dean List Award (Outstanding 1-st class Performance, for 3 years)

  • Diligentia Bowen Scholarship (¥120000, Undergraduate Admission Scholarship for 1-st prize in Provincial CMO)

  • Zhejiang Guolong Inspirational Scholarship (¥120000, Undergraduate Admission Scholarship for top 0.5% students in Chinese College Entrance Exam)

  • 1st-Prize in Chinese Mathematics Olympiad (CMO)-Chongqing Province

💬 Press/Media

White Paper
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Miscellaneous

  • In my spare time, I’m an music enthusiast. I’ve been playing guitar for more than 10 years and began teaching myself the piano when I was 15. During my undergraduate, I played music in two bands: “Minor Blue” and “Major Pink.” See our photos:
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  • 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 reasoning. Visit my Lichess profile.

  • I love play basketball 🏀. Sports makes me energetic.

  • I play video games like League of Legends, where I achieved the “diamond” level as my historically highest honor. I also play 3A games like Elden Ring, Dark Souls, Nier Automata, and elder scrolls.

  • I have a deep interest in philosophy of mind, particularly Buddhism and Taoism, as paths to explore the fundamental nature of human existence. I am also intrigued by the potential integration of these philosophical insights with modern artificial intelligence.