I am a year-1 MPhil student in Computer Science Engineering at Hong Kong University of Science and Technology (HKUST), advised by Prof. Yangqiu Song. Currently, I am working with Dr. Haoran Li on mitigating LLM privacy issues via Contextual Integrity. During my undergraduate studies, I had the fortune of working with Prof. Minhao Cheng on ML safety.

If you are interested in my works or would like to collaborate with me, please feel free to contact me via email (whuak at connect dot ust dot hk).

This webpage is last updated on 2025/02/10.

Research Interests

• LLM Reasoning
• LLM Privacy and Safety
• Contextual Integrity

Education

• MPhil. in Computer Science at Hong Kong University of Science and Technology, 2025.02 - Now
• BEng. in Computer Science at Hong Kong University of Science and Technology, 2020.09 - 2024.06
• Exchange Semester in Technical University of Munich, 2023.04 - 2023.08

Working Experience

Research Assistant at Hong Kong University of Science and Technology, 2024.07 - 2025.01

Preprints

• Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning, Wenbin Hu*, Huihao Jing*, Qi Hu*, Haoran Li, Yangqiu Song, arXiv preprint arXiv:2408.07091 [pdf]
• Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection, Yize Cheng*, Wenbin Hu*, Minhao Cheng, arXiv preprint arXiv:2307.10487 [pdf]

(* represents equal contribution.)

Publication

• Mitigating the Alignment Tax of RLHF, Yong Lin*, Hangyu Lin*, Wei Xiong*, Shizhe Diao*, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang. To appear in Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. [pdf]

Awards and Honors

• Dean’s List (Term GPA > 3.7, top 10 percentile)

Courses

• AI Related Courses: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Graph Machine Learning, Reinforcement Learning, Probabilistic Graph Model.
• CS Related Courses: C++, OOP, Computer Architecture, Operation System, Algorithm, Software Engineering, Computer Graphics, Web Search Engine.
• MATH Related Courses: Multivariable Calculus, Linear Algebra, Abstract Algebra, Probability Theory, Convex Optimization, Mathematic Analysis, Ordinary Differential Equation.