Research Interests
I have broad interests in LLM reasoning, safety, and evaluation recently.
Selected Publications & Manuscripts (* denotes the equal contribution)
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On The Fragility of Benchmark Contamination Detection in Reasoning Models
Han Wang*, Haoyu Li*, Brian Ko*, Huan Zhang
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DecepChain: Inducing Deceptive Reasoning from Large Language Model
Wei Shen*, Han Wang*, Haoyu Li*, Huan Zhang
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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
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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
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Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
Han Wang, Gang Wang, Huan Zhang
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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
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Education
University of Illinois Urbana-Champaign, IL
Ph.D. • Aug. 2024 to Present
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Zhejiang University, China
B.Eng. • Aug. 2020 to June 2024
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Services
Conference Reviewer: NeurIPS 2025, ICLR 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: Oct 9th, 2025.
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