Dr. Anran Li

Dr. Anran Li

Postdoctoral Associate at Yale University, USA

Publications

Name marked with * implies that I am the corresponding author.

  1. Anran Li, Yuanyuan Chen, Wenjun Long, Yu Yin, Yan Hu, Hyunjae Kim, Weipeng Zhou, Yujia Zhou, Hongyi Peng, Yang Ren, Xuguang Ai, Zhenyue Qin, Ming Hu, Xiaoxiao Li, Han Yu, Yih-Chung Tham, Lucila Ohno-Machado, Hua Xu, Qingyu Chen, A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine, arXiv 2026.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. Anran Li, Lan Zhang, Junhao Wang, Feng Han, Xiang-Yang Li, Privacy-preserving Efficient Federated-Learning Model Debugging, IEEE TPDS 2022.
  9. 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.
  10. Anran Li, Lan Zhang, Juntao Tan, Yaxuan Qin, Junhao Wang, Xiang-Yang Li, Sample-level Data Selection for Federated Learning, IEEE INFOCOM 2021.
  11. Anran Li, Shuangshuang Xue, Xiang-Yang Li, Lan Zhang, Jianwei Qian, AppDNA: Profiling App Behavior via Deep-Learning on Function Call Graphs, IEEE TETC 2020.
  12. Anran Li, Lan Zhang, Jianwei Qian, Xiang Xiao, Xiang-Yang Li, Yunting Xie. TODQA: Efficient Task-Oriented Data Quality Assessment, IEEE MSN 2019, Best Paper Award.
  13. Anran Li, Lingfei Qian, Mengmeng Du, Yan Hu, Yifan Yang, Lucila Ohno-Machado, Hyunghoon Cho, Zhiyong Lu, Hua Xu, Qingyu Chen. Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications, AMIA 2025 Annual Symposium Late Breaking Poster.
  14. Jian Zhang, Chong Wang, Anran Li$^*$, Weisong Wang, Cen Zhang, Wei Ma, Yang Liu, Evaluating Large Language Models for Line-Level Vulnerability Localization, IEEE TSE 2025.
  15. 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.
  16. Wenhan Wang, Yanzhou Li, Anran Li$^*$, Jian Zhang, Wei Ma, Yang Liu, An Empirical Study on Noisy Label Learning for Program Understanding, ICSE 2024.
  17. Tianlin Li, Zhiming Li, Anran Li$^*$, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu, Fairness via Group Contribution Matching, IJCAI 2023.
  18. Kai Wang, Runze Wu, Yu Xiong, Haifeng Sun, Anran Li, Shaojie Tang, Changjie Fan, Xiang-Yang Li, The Power of Penalties: Negativity-Aware Incentives for High-Quality Crowdsourced Data Labeling, WWW 2026.
  19. Juntao Tan, Anran Li, Quanchao Liu, Peng Re, Lan Zhang, VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning, ACM TOSN 2026.
  20. Minjie Zhou, Sahana Srinivasan, Thaddaeus Wai Soon Lo, Ke Zou, Gabriel Dawei Yang, Xuguang Ai, Hyunjae Kim, Anran Li, Maxwell Singer, Fares Antaki, Kelvin Li, Robert Chang, Marcus Tan, David Ziyou Chen, Dianbo Liu, Qingyu Chen, Yih Chung Tham, Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models, JAMA Ophthalmology 2025.
  21. Weipeng Zhou, Gui Yang, Rui Shi, Anran Li, Xuguang Ai, Qingyu Chen, Yan Hu, Hua Xu, Timothy A. Miller, Bridging the Development-Implementation Gap in Clinical NER: An Empirical Study on Input Length Effects for Real-World Deployment, AMIA 2025 Annual Symposium Late Breaking Poster.
  22. Ju Jia, Bo Feng, Wenyi Zhang, Anran Li, Cong Wu, Siqi Ma, Robert Deng, FGRW: Fine-Grained Reversible Watermarking based on Distribution-Adaptive Contrastive Augmentation across Diverse Domains, IEEE TDSC 2025.
  23. Yuanhao Feng, Jinyang Huang, Youwei Zhang, Xiang Zhang, Meng Li, Fusang, Zhang, Tianyue Zheng, Anran Li, Mianxiong Dong, Zhi Liu, RF-Eye: Commodity RFID Can Know What You Write and Who You Are Wherever You Are, ACM TOSN 2025.
  24. Chao Ren, Ying-Peng Tang, Yulan Gao, Xian Sun, Kun Fu, Mikael Skoglund, Zhao Yang Dong, Han Yu, Anran Li, Ming Xiao, QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Dynamic Security Assessment in Cyber-Physical Systems, JSAC 2025.
  25. Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang, Advances and Open Challenges in Federated Foundation Models, IEEE COMST 2025, IF: 34.4.
  26. Zheyu Zhao, Anran Li, Xiaohua Xu, FedPPO: Reinforcement Learning-based Client Selection for Federated Learning with Heterogeneous Data, IEEE TCCN 2025.
  27. Zeke Xia, Ming Hu, DengKe Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen, MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay, AAAI 2025.
  28. Lan Zhang, Anran Li, Hongyi Peng, Feng han, Fan Huang, Xiangyang Li, Privacy-preserving Data Selection for Horizontal and Vertical Federated Learning, IEEE TPDS 2024.
  29. Jian Zhang, Chong Wang, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu, VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair, 39th IEEE/ACM International Conference on Automated Software Engineering, ASE 2024.
  30. Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen, FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation, IEEE ICDE 2024.
  31. Xiaoli Tang, Han Yu, Chao Ren, Run Tang, Anran Li, Xiaoxiao Li, Dual Calibration-based Personalised Federated Learning, IJCAI 2024.
  32. Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen, FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios, IEEE TCAD 2024.
  33. Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen, CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance, IEEE TCAD 2024.
  34. Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan, Federated IoT Interaction Vulnerability Analysis, IEEE ICDE 2023.
  35. Ju Jia, Yueming Wu, Anran Li, Yang Liu, Subnetwork-Lossless Robust Watermarking for Hostile Theft Attacks in Deep Transfer Learning Models, IEEE TDSC 2022.
  36. Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng, Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning, IEEE ICDE 2022.
  37. Shuangshuang Xue, Lan Zhang, Anran Li, Xiang-Yang Li, Chaoyi Ruan, Wenchao Huang, AppDNA: App Behavior Profiling via Graph-based Deep Learning, IEEE INFOCOM 2018.
  38. Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan, Han Yu, Federated Graph Neural Networks: Overview, Techniques and Challenges, IEEE TNNLS 2024.
  39. Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan, Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning, Neural Networks 2024.
  40. Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Liu Yang, Learning Program Representations with a Tree-Structured Transformer, SANER 2023.
  41. Yihang Cheng, Lan Zhang, Anran Li, GFL: Federated Learning on Non-IID data via Privacy-preserving Synthetic data, IEEE PerCom 2023.
  42. Hong Zhang, Lan Zhang, Ju Huang, Anran Li, Haoran Cheng, Dongbo Huang, and Lan Xu, A Unified Guaranteed Impression Allocation Framework for Online Display Advertising, IEEE ICDM 2022.
  43. Jiahui Huang, Lan Zhang, Anran Li, Haoran Cheng, Jiexin Xu, Hongmei Song, Adaptive and Efficient Participant Selection in Vertical Federated Learning, IEEE MSN 2023.
  44. Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu, Residue-based Label Protection Mechanisms in Vertical Logistic Regression, BigCom 2022.
  45. Lan Chen, Linlin Chen, Anran Li, Xiaoyu Wang, FATE: Fingerprints Automatically Targeting and Extracting for image source identification, BigCom 2020.
  46. Rui Jiao, Lan Zhang, Anran Li, Ieye: Personalized image privacy detection, BigCom 2020.
  47. Lan Chen, Anran Li, Lei Yu, Forensic technology for source camera identification, Artificial Intelligence and Security: 6th International Conference, ICAIS 2020.
  48. 李向阳，张兰，李安然，数据共享和交易：数据的质量、价值和价格，中国计算机学会通讯2019.