Email: anranli@ustc.edu.cn
主要研究方向：智能物联网数据治理、医疗大语言模型隐私、模型可解释性等
李安然，中国科学技术大学特任教授。毕业于中国科学技术大学，获计算机学院博士学位，后于新加坡南洋理工大学计算与数据科学学院、美国耶鲁大学医学院生物医学信息学与数据科学系从事博士后研究。2026年3月加入中国科学技术大学计算机学院。主要研究方向为智能物联网数据治理、医疗大语言模型隐私等。在Nature Communications顶级期刊，ACM SIGMOD, IEEE ICDE, IEEE TPDS, IEEE INFOCOM等计算机网络及数据挖掘的一流国际会议和期刊上发表论文五十余篇。
招生信息：欢迎对智能物联网数据治理、医疗大语言模型隐私、模型可解释性感兴趣的同学跟我联系。
1. Anran Li, Lingfei Qian, Mengmeng Du, Yu Yin, Yan Hu, Zihao Sun, Yihang Fu, Hyunjae Kim, Erica Stutz, Xuguang Ai, Qianqian Xie, Rui Zhu, Jimin Huang, Yifan Yang, Siru Liu, YihChung Tham, Lucila Ohno-Machado, Hyunghoon Cho, Zhiyong Lu, Hua Xu, Qingyu Chen, Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications, Nature Communications 2026.
2. Anran Li, Yuanyuan Chen, Mingfei Cheng, Yihao Huang, Jian Zhang, Yueming Wu, Anh Tuan Luu, Han Yu, Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning, ACM SIGMOD 2024.
3. Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Luu Anh Tuan, Han Yu, Joint Client-and-Sample Selection for Federated Learning via Bi-level Optimization, IEEE TMC 2024.
4. Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu, FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning, ACM SIGMOD 2023.
5. Anran Li, Hongyi Peng, Jiahui Huang, Lan Zhang, Qing Guo, Han Yu, Yang Liu, FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning, IEEE INFOCOM 2023.
6. Anran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu, Xiangyang Li, Efficient and Privacy-Preserving Feature Importance-based Vertical Federated Learning, IEEE TMC 2023.
7. Anran Li, Lan Zhang, Junhao Wang, Feng Han, Xiang-Yang Li, Privacy-preserving Efficient Federated-Learning Model Debugging, IEEE TPDS 2022.
8. Anran Li, Lan Zhang, Junhao Wang, Juntao Tan, Feng Han, Yaxuan Qin, Nikolaos M. Freris, Xiang-Yang Li, Efficient Federated-Learning Model Debugging, IEEE ICDE 2021.
9. Anran Li, Lan Zhang, Juntao Tan, Yaxuan Qin, Junhao Wang, Xiang-Yang Li, Sample-level Data Selection for Federated Learning, IEEE INFOCOM 2021.
10.Ming Hu, Yue Cao, Anran Li*, Ming Zhi, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu, FedMut: Generalized Federated Learning via Stochastic Mutation, AAAI 2024.
（更新于2026年6月）