I am Fan LIU, a research student at HKUST(GZ). My current interest is in trustworthy LLM, federated learning, adversarial learning, etc. My research papers have been published in NeurIPS/KDD/ICMLW/TFS, etc. For more details, please refer to [Google Scholar]

Email: liufanuestc AT DOT com

Recent Works

• [Arxiv] Fan LIU, Siqi Lai, Yansong Ning, Hao Liu, Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network, Arxiv, 2023. [pdf], [Code]
• [KDD] Fan LIU, Weijia Zhang, Hao Liu, Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training, KDD, 2023.
• [NeurIPS] Fan LIU, Hao Liu, Wenzhao Jiang, Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models, NeurIPS, 2022. [Blog], [Code]
• [ICMLW] Fan LIU, Shuyu Zhao, Xuelong Dai, Bin Xiao, Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks, ICMLW, 2021.
• [TFS] Fan LIU and Yong Deng, Determine the number of unknown targets in Open World based on Elbow method, TFS, 2020. (ESI Hot Paper)

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, NeurIPS (Main, Datasets and Benchmarks Track) 2023, KDD 2023, 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)