Han Wang I am Han Wang, a first-year ECE Ph.D. student at UIUC, advised by Prof. Huan Zhang. I obtained my bachelor's degree from Zhejiang University. I was fortunate to work with Prof. Fei Wu at Zhejiang Univerisity, Prof. An Zhang and Prof. Tat-Seng Chua at the National University of Singapore, and Prof. Sharon Yixuan Li at the University of Wisconsin-Madison. Email  |  Google Scholar  |  Github  |  Linkedin

I have a broad interest in trustworthy AI. Specifically, I am passionate about exploring the vulnerability of foundation models, ensuring their reliability and robustness, and evaluating their real-world abilities.

Recently, I have been also interested in reinforcement learning with verifiable reward and reasoning.

	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 Preprint [Paper] [Code] [Project]
	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]

University of Illinois Urbana-Champaign, IL Ph.D. • Aug. 2024 to Present

Zhejiang University, China B.Eng. • Aug. 2020 to June 2024

Conference Reviewer: NeurIPS 2025, ACM CCS AISec Workshop 2025

Journay Reviewer: IEEE TNNLS 2025