Han (Felix) Yan

Hi, I am Han (Felix) Yan (严涵), a fourth year undergraduate student studying at the The Chinese University of Hong Kong, Shenzhen. I was also an exchange student at the University of Notre Dame. I am fortunated to be advised by Prof. Jianwei Huang at the NCEL lab, Prof. Meng Jiang at the DM² lab and Prof. Benyou Wang at the CUHKSZ Freedom AI lab.

My research interest lies in GenAI (e.g. MLLM/LLM/) Safety, AI Privacy, Trustworthy AI, CoT, Reinforcement Learning Reward Model and etc. Currently, I am exploring CoT and RL Reward Model Design.

Please feel free to drop me an Email for any form of communication or collaboration!

Email  /  Google Scholar  /  Github  /  LinkedIn  / 

We propose a unified framework that enforces dual-space smoothness in representation and parameter spaces to improve robustness and balance unlearning metrics.

We propose an approach that diversifies grid representations and includes a rigorous evaluation process using multi-modal large language models (MLLMs) to ensure output consistency.

We propose a large language model-assisted workflow for small-scale synthetic power grid generation, verification, and visualization.

• I've always been surrounded by wonderful friends, collaborators, and advisors, and I try to maintain an optimistic outlook. If you're having a tough time and would like someone to talk to, feel free to reach out!
• I like pop music and reading science fiction. The Three-Body Problem is my favorite science fiction series.

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