Rui Min

Hi, I am a graduate student in the Department of Computer Science Engineering (HKUST) under the co-supervision of Prof. Yi R. (May) Fung and Prof. Minhao Cheng. My interest lies broadly in (Trustworthy) Machine Learning in Large Models.

Before that, I received my B.Eng. from Beijing University of Posts and Telecommunications (BUPT) and Queen Mary University of London (QMUL). Currently, I am also a research intern in Sea AI Lab mentored by Dr. Tianyu Pang and Dr. Chao Du.

Email / Scholar / Github

📝 Research

* denotes equal contribution.

Improving Your Model Ranking on Chatbot Arena by Vote Rigging
Rui Min, Tianyu Pang*, Chao Du, Qian Liu, Minhao Cheng, Min Lin
Workshop on Foundation Models in International Conference on Learning Representations (ICLR workshop paper), 2025.
pdf / code / media

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
Yantao liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li
International Conference on Learning Representations (ICLR), 2025. (Oral)
pdf / code

Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
Rui Min, Zeyu Qin*, Nevin L. Zhang, Li Shen, Minhao Cheng
Advances in Neural Information Processing Systems (NeurIPS), 2024. (Spotlight)
pdf / code

A Watermark-Conditioned Diffusion Model for IP Protection
Rui Min, Sen Li, Hongyang Chen, Minhao Cheng
European Conference on Computer Vision (ECCV), 2024.
pdf / code

Towards Stable Backdoor Purification with Feature Shift Tuning
Rui Min, Zeyu Qin*, Li Shen, Minhao Cheng
Advances in Neural Information Processing Systems (NeurIPS), 2023.
pdf / code

Identification of the Adversary from a Single Adversarial Example
Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen
International Conference on Machine Learning (ICML), 2023.
pdf / code / ML Safety Workshop (NeurIPS 2022)

Excellent template from this website's source code.