Dr. Anran Li

Dr. Anran Li

Postdoctoral Associate at Yale University, USA

About me

I am currently a Postdoctoral Associate at the Department of Biomedical Informatics & Data Science, School of Medicine at Yale University, working with Prof. Qingyu Chen. Also, I worked closely with Prof. Hua Xu, Prof. Lucila Ohno-Machado (MD, MBA, PhD), and Prof. Hyunghoon Cho. Prior to joining Yale University, I was a Research Fellow at the College of Computing and Data Science at Nanyang Technological University, working with Prof. Yang Liu, Prof. Han Yu and Prof. Luu Anh Tuan. I received my Ph.D degree from the School of Computer Science and Technology, University of Science and Technology of China, where I was advised by Prof. Xiangyang Li and Prof. Lan Zhang. My research interests focus on trustworthy AI, medical large language models (LLMs), federated learning and graph learning.

I am always open to collaborations. If you share similar interests, please feel free to reach out!

Work Experience

  • 2024.07-Present, Postdoctoral Associate, Department of Biomedical Informatics & Data Science, School of Medicine at Yale University, USA
  • 2021.12-2024.06, Research Fellow, College of Computing and Data Science at Nanyang Technological University, Singapore
  • 2021.06-2021.12, Postdoctoral Researcher, School of Computer Science and Technology, University of Science and Technology of China, China
  • 2021.07-2021.12, Visiting Researcher (industry collaboration), Tencent, Shanghai, China

Recent News

  1. [2026.02.20] Our paper “Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications” was accepted by Nature Communications 2026. Congratulations to all!
  2. [2026.02.17] Dr. Li served as a reviewer for IEEE CSUR2026, TDSC 2026, IEEE TNNLS 2026, KDD 2026 AI4Sciencen.
  3. [2026.01.13] Our paper “The Power of Penalties: Negativity-Aware Incentives for High-Quality Crowdsourced Data Labeling” was accepted by The Web Conference 2026 (WWW 2026). Congratulations to Kai!
  4. [2026.01.11] Our paper “VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning” was accepted by ACM Transactions on Sensor Networks (ACM TOSN 2026). Congratulations to Juntao!
  5. [2026.01.05] Dr. Li served as a reviewer for CVPR 2026.
  6. [2025.12.25] Our paper “Evaluating Large Language Models for Line-Level Vulnerability Localization” was accepted by IEEE Transactions on Software Engineering (IEEE TSE 2025).
  7. [2025.12.17] Dr. Li served as a reviewer for npj Health Systems.
  8. [2025.09.29] Our paper “FGRW: Fine-Grained Reversible Watermarking based on Distribution-Adaptive Contrastive Augmentation across Diverse Domains” was accepted by IEEE TDSC 2025.
  9. [2025.09.26] Our paper “Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications” was accepted by AMIA 2025 Annual Symposium as a Late Breaking Poster.
  10. [2025.09.26] Our paper “Bridging the Development-Implementation Gap in Clinical NER: An Empirical Study on Input Length Effects for Real-World Deployment” was accepted by AMIA 2025 Annual Symposium as a Late Breaking Poster.
  11. [2025.09.24] Dr. Li served as a PC member of Machine Learning and Scientific Reports.
  12. [2025.09.10] Our paper “Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implication” was submitted to arXiv.
  13. [2025.07.17] Dr. Anran Li served as a PC member of AAAI-26 and AAAI-26-AIA.
  14. [2025.05.28] Our paper “Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study” was accepted by JAMA Ophthalmology 2025.
  15. [2025.05.19] Our paper “RF-Eye: Commodity RFID Can Know What You Write and Who You Are Wherever You Are” was accepted by Transactions on Sensor Networks (TOSN 2025).
  16. [2025.05.09] Dr. Anran Li was invited to give a talk at Envisioning AI at Yale: An Interdisciplinary Symposium 2025.
  17. [2025.04.16] Dr. Anran Li served as a PC member of CFAgentic@ICML’25.
  18. [2025.03.01] Our paper “QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Dynamic Security Assessment in Cyber-Physical Systems” was accepted by IEEE Journal on Selected Areas in Communications (JSAC 2025).
  19. [2025.02.24] Our paper “FedPPO: Reinforcement Learning-based Client Selection for Federated Learning with Heterogeneous Data” was accepted by IEEE Transactions on Cognitive Communications and Networking (TCCN 2025).
  20. [2025.01.12] Our paper “Advances and Open Challenges in Federated Foundation Models” was accepted by IEEE Communications Surveys and Tutorials (IEEE COMST) 2025, IF: 34.4.

Contact

Address: Yale University, New Haven, CT 06520

Email: anran.li@yale.edu