Han Wang

I am Han Wang, a second-year Ph.D. student at UIUC, advised by Prof. Huan Zhang. I also work closely with Prof. Gang Wang at UIUC.

I was fortunate to work with Prof. Fei Wu at Zhejiang University, Prof. Tat-Seng Chua at the National University of Singapore, and Prof. Sharon Yixuan Li at the University of Wisconsin-Madison during my undergraduate studies at Zhejiang University.

Email  |  Google Scholar  |  Github  |  Linkedin

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Research Interests

I have broad interests in LLM reasoning, safety, and evaluation, with a recent focus on CoT monitorability in reasoning models and safety issues in coding agents.


Selected Publications & Manuscripts (* denotes the equal contribution)
  • On The Fragility of Benchmark Contamination Detection in Reasoning Models
    Han Wang*, Haoyu Li*, Brian Ko*, Huan Zhang
    ICLR 2026
    [Paper] [Code] [Openreview]
  • DecepChain: Inducing Deceptive Reasoning from Large Language Model
    Wei Shen*, Han Wang*, Haoyu Li*, Huan Zhang
    Preprint
    [Paper] [Code] [Project]
  • AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
    Junyu Zhang*, Runpei Dong*, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang
    EMNLP 2025 Main
    [Paper] [Code] [Project] [Press]
  • The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination
    Yifan Sun*, Han Wang*, Dongbai Li*, Gang Wang, Huan Zhang
    ICML 2025
    [Paper] [Code]
  • Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
    Han Wang, Gang Wang, Huan Zhang
    CVPR 2025
    [Paper] [Code]
  • ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
    Jingnan Zheng*, Han Wang*, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua
    NeurIPS 2024
    [Paper] [Code]


Education
University of Illinois Urbana-Champaign, IL
Ph.D. • Aug. 2024 to Present
Zhejiang University, China
B.Eng. • Aug. 2020 to June 2024

Services

Conference Reviewer: NeurIPS 2025, ICLR 2026, ICML 2026, ACL ARR 2025, ACM CCS AISec Workshop 2025, NeurIPS MATH-AI Workshop 2025

Journay Reviewer: IEEE TNNLS 2025

Teaching Assistant: ECE 484 (Principles of Safe Autonomy), UIUC, Fall 2025


Website source from Jon Barron.

Last Updated: Jan 26th, 2025.