I am Fan LIU, a research student at HKUST(GZ). Currently, my research focuses on LLM for automating scientific discovery, advancing LLM through alignment, modeling, and reasoning. My research papers have been published in NeurIPS/KDD/WWW/ECML PKDD/ICMLW/TFS, etc. For more details, please refer to [Google Scholar] If you are interested in my research, feel free to reach out for discussions, collaborations, internship opportunities, or any related inquiries.

Email: liufanuestc AT DOT com

Recent Works

(* Equal contribution)

• [NeurIPS] Fan Liu, Jindong Han, Tengfei Lyu, Weijia Zhang, Zhe-Rui Yang, Lu Dai, Cancheng Liu, Hao Liu, Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition, NeurIPS, 2025. [pdf], 💻 Project (CCF A ) Position, Acceptance rate~6%
• [NeurIPS] Fan Liu*, Zherui Yang*, Cancheng Liu, Tianrui Song, Xiaofeng Gao, Hao Liu, MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem, NeurIPS, 2025. [pdf], [Code] , [Demo](CCF A ) 🔥🚀 Our MM-Agent system assists two undergraduate teams awarded F Award in 2025 MCM/ICM (top 2.0% among 27,456 human teams)
• [NeurIPS] Fan LIU, Wenshuo Chao, Naiqiang Tan, Hao Liu, Bag of Tricks for Inference-time Computation of LLM Reasoning, NeurIPS D&B, 2025. [pdf], [Code] (CCF A )
• [WWW] Fan LIU, Hao Liu, Subgraph Federated Unlearning, WWW, 2025. (CCF A, Oral)
• [Arxiv] Fan LIU, Yue Feng, Zhao Xu, Lixin Su, Xinyu Ma, Dawei Yin, Hao Liu, JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework, Arxiv, 2024. [Project Page],[pdf], [Code], [Dataset], [Model],[Coverage] 🔥🚀 Model 6000+ Downloads
• [NeurIPS] Zhao Xu, Fan LIU, Hao Liu, Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs, NeurIPS D&B, 2024. [pdf], [Code],[Coverage] (CCF A)
• [KDD] Fan LIU, Weijia Zhang, Hao Liu, Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training, KDD, 2023. (CCF A)
• [NeurIPS] Fan LIU, Hao Liu, Wenzhao Jiang, Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models, NeurIPS, 2022. [Blog], [Code] (CCF A)

Education and Experience

• 2022: Graduate student at HKUST(GZ)
• 2021: Intern at HKUST(GZ)
• 2020: Intern at MSRA (StarBridge Program)
• 2020: B.S. from UESTC
• 2019: Research visit at UBC

Awards, Acknowledgements, and Services

• Reviewer for Conference: ICLR 2024-2025, NeurIPS 2023-2024, KDD 2023-2025, WWW 2025, AISTATS 2025, AdvML-Frontiers (ICML 2023 Workshop), FL4Data-Mining (KDD 2023 Workshop)
• Reviewer for Journal: ITS, Transactions On SMC: Systems, Physica A, TFS, TII
• TPC member: FL4Data-Mining (KDD 2023 Workshop)
• KDD Student Travel Award (2023)
• RBM Student Travel Grant (2023)
• Outstanding Undergraduate Thesis Award
• Outstanding Undergraduate Student
• Excellent Student Scholarship (2017-2020)