Rui Min

Hi, I am a graduate student at Hong Kong University of Science and Technology (HKUST) under the co-supervision of Prof. Yi R. (May) Fung and Prof. Minhao Cheng. My interest lies broadly in (Trustworthy) Machine Learning and LLM Agent.

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 associate member at Sea AI Lab mentored by Dr. Tianyu Pang and Dr. Chao Du.

Email  /  Scholar  /  Github

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📝 Research


* denotes equal contribution.

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Zile Qiao*, Guoxin Chen*, Xuanzhong Chen*, Donglei Yu*, Wenbiao Yin, Xinyu Wang, Zhen Zhang, Baixuan Li, Huifeng Yin, Kuan Li, Rui Min, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
Technical Report.
pdf / code
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
Yingsha Xie, Rui Min, Zeyu Qin, Fei Ma, Li Shen, Fei Yu, Xiaochun Cao
Advances in Neural Information Processing Systems (NeurIPS), 2025.
pdf / R2-FM Workshop (ICML 2025)
Improving Your Model Ranking on Chatbot Arena by Vote Rigging
Rui Min, Tianyu Pang*, Chao Du, Qian Liu, Minhao Cheng, Min Lin
International Conference on Machine Learning (ICML), 2025.
pdf / code / media / FM-Wild Workshop (ICLR 2025)
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)

🧑🏼‍🎓 Academic Service


I was a reviewer of:
NeurIPS: 2024, 2025; ICML: 2024, 2025; ICLR: 2025; AAAI: 2024, 2025.

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