FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems. - Jiechao Gao; Yuangang Li 002 (BIBM, 2024)

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement. - Jiechao Gao; Yuangang Li 002; Syeda Faiza Ahmed (ICDM (Workshops), 2024)

FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning. - Junkang Liu; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001; Yuangang Li 002; YunXiang Gong (ACM Multimedia, 2024)

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models. - Chenxiao Yu; Zhaotian Weng; Yuangang Li 002; Zheng Li; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

NLP-ADBench: NLP Anomaly Detection Benchmark. - Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Tiankai Yang 001; Yi Nian; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications. - Jiechao Gao; Yuangang Li 002; Yue Zhao 016; Brad Campbell (CoRR, 2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Shawn Li; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xiaohu You 001; Yue Zhao 016 (CoRR, 2024)

A Large-scale Empirical Study on Large Language Models for Election Prediction. - Chenxiao Yu; Zhaotian Weng; Yuangang Li 002; Zheng Li; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Li Li 006; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xia Hu 001; Yue Zhao 016 (ACL (Findings), 2025)

Mitigating Hallucinations in Large Language Models via Causal Reasoning. - Yuangang Li 002; Yiqing Shen; Yi Nian; Jiechao Gao; Ziyi Wang; Chenxiao Yu; Shawn Li; Jie Wang; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)