Scholar
Anran Li
Google Scholar ID: zXlLAJgAAAAJ
Yale University
Citations & Impact
Citations
1,076
H-index
17
i10-index
27
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - “FGRW: Fine-Grained Reversible Watermarking based on Distribution-Adaptive Contrastive Augmentation across Diverse Domains”, IEEE TDSC 2025
- - “Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications”, AMIA 2025 Annual Symposium
- - “Bridging the Development-Implementation Gap in Clinical NER: An Empirical Study on Input Length Effects for Real-World Deployment”, AMIA 2025 Annual Symposium
- - “Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study”, JAMA Ophthalmology 2025
- - “RF-Eye: Commodity RFID Can Know What You Write and Who You Are Wherever You Are”, TOSN 2025
- - “QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Dynamic Security Assessment in Cyber-Physical Systems”, JSAC 2025
- - “FedPPO: Reinforcement Learning-based Client Selection for Federated Learning with Heterogeneous Data”, TCCN 2025
- - “Advances and Open Challenges in Federated Foundation Models”, IEEE COMST 2025
- - “MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay”, AAAI 2025
- - “Joint Client-and-Sample Selection for Federated Learning via Bi-level Optimization”, IEEE TMC 2024
- - “VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair”, ASE 2024
- - “Privacy-preserving Data Selection for Horizontal and Vertical Federated Learning”, IEEE TPDS 2024
- - “CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance”, IEEE TCAD 2024
- PC Member:
- - Machine Learning
- - Scientific Reports
- - AAAI-26
- - AAAI-26-AIA
- - CFAgentic@ICML’25
- - FL@FM-NeurIPS’24
- - AAAI 2025
Research Experience
- Currently a Postdoctoral Associate at the Department of Biomedical Informatics & Data Science, School of Medicine, Yale University, closely collaborating with Dr. Qingyu Chen, Dr. Hua Xu, Dr. Lucila Ohno-Machado (MD, MBA, PhD), and Dr. Hyunghoon Cho.
Education
- Ph.D. in Computer Science and Technology from the University of Science and Technology of China, supervised by Dr. Xiang-Yang Li and Dr. Lan Zhang;
- Postdoctoral Research Fellow at the College of Computing and Data Science, Nanyang Technological University, working with Dr. Yang Liu, Dr. Han Yu, and Prof. Luu Anh Tuan.
Background
- Research Interests: Trustworthy AI, medical large language models, federated learning, and graph learning. Currently a Postdoctoral Associate at the Department of Biomedical Informatics & Data Science, School of Medicine, Yale University.
Miscellany
- Personal Interests: Not specified
