Dr. Anran Li

Dr. Anran Li

Pre-tenure Professor at University of Science and Technology of China

About me

I am currently a Pre-Tenure Professor in the School of Computer Science and Technology at the University of Science and Technology of China (USTC). Prior to joining USTC, I was a Postdoctoral Associate in the Department of Biomedical Informatics & Data Science at Yale University School of Medicine, where I worked with Prof. Qingyu Chen and also closely collaborated with Prof. Hua Xu, Prof. Lucila Ohno-Machado (MD, MBA, PhD), and Prof. Hyunghoon Cho. Before that, I was a Research Fellow in 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 at USTC, advised by Prof. Xiangyang Li and Prof. Lan Zhang. My research interests include trustworthy AI, medical large language models (LLMs), federated learning and graph learning.

We are looking for passionate PhD, research assistants, and visiting students to join the team!

Work Experience

  • 2026.03-Present, Pre-Tenure Professor, School of Computer Science and Technology, University of Science and Technology of China, China
  • 2024.07-2026.03, 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. [2026.03.13] Our paper “Verify Claimed Text-to-Image Models via Boundary-Aware Prompt Optimization” was accepted by CVPR Findings 2026. Congratulations to Zidong!
  2. [2026.03.03] Our paper “LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology” was accepted by ACM Transactions on Computing for Healthcare. Congratulations to Zhenyue!
  3. [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!
  4. [2026.02.17] Dr. Li served as a reviewer for IEEE CSUR 2026, IEEE TDSC 2026, IEEE TNNLS 2026, KDD 2026 AI4Science.
  5. [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!
  6. [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!
  7. [2026.01.05] Dr. Li served as a reviewer for CVPR 2026.
  8. [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).
  9. [2025.12.17] Dr. Li served as a reviewer for npj Health Systems.
  10. [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.
  11. [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.
  12. [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.
  13. [2025.09.24] Dr. Li served as a PC member of Machine Learning and Scientific Reports.
  14. [2025.09.10] Our paper “Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implication” was submitted to arXiv.
  15. [2025.07.17] Dr. Anran Li served as a PC member of AAAI-26 and AAAI-26-AIA.
  16. [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.
  17. [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).
  18. [2025.05.09] Dr. Anran Li was invited to give a talk at Envisioning AI at Yale: An Interdisciplinary Symposium 2025.
  19. [2025.04.16] Dr. Anran Li served as a PC member of CFAgentic@ICML’25.
  20. [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).
  21. [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).
  22. [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: University of Science and Technology of China, Hefei, China

Email: anranli@ustc.edu.cn