Liu, Fan

11 publications

ICLR 2026 Towards Multimodal Data-Driven Scientific Discovery Powered by LLM Agents Fan Liu, Xiaozhao Zeng, Hao Liu

NeurIPS 2025 Bag of Tricks for Inference-Time Computation of LLM Reasoning Fan Liu, Wen-Shuo Chao, Naiqiang Tan, Hao Liu

ECML-PKDD 2025 Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network Fan Liu, Siqi Lai, Yansong Ning, Hao Liu

NeurIPS 2025 Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition Fan Liu, Jindong Han, Tengfei Lyu, Weijia Zhang, Zhe-Rui Yang, Lu Dai, Cancheng Liu, Hao Liu

NeurIPS 2025 MM-Agent: LLM as Agents for Real-World Mathematical Modeling Problem Fan Liu, Zhe-Rui Yang, Cancheng Liu, Tianrui Song, Xiaofeng Gao, Hao Liu

AAAI 2025 Making Large Vision Language Models to Be Good Few-Shot Learners Fan Liu, Wenwen Cai, Jian Huo, Chuanyi Zhang, Delong Chen, Jun Zhou

NeurIPS 2024 Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs Zhao Xu, Fan Liu, Hao Liu

NeurIPS 2024 Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi, Fan Liu

IJCAI 2023 Few-Shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang, Fan Liu, Delong Chen, Jun Zhou

NeurIPS 2022 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models Fan Liu, Hao Liu, Wenzhao Jiang

ICMLW 2021 Long-Term Cross Adversarial Training: A Robust Meta-Learning Method for Few-Shot Classification Tasks Fan Liu, Shuyu Zhao, Xuelong Dai, Bin Xiao