Yang Li
Welcome to my homepage! I'm a tenure-track associate professor at the Institute of Data and Information, Tsinghua-Shenzhen Interntional Graduate School, Tsinghua University.
My research focuses on developing trustworthy machine learning systems for uncertain, heterogeneous and dynamic data from the real world. Specically, my research interests include:
Transferability estimation in transfer learning, efficient domain and model adaptation, continual learning
Interpretable representation learning, compositional learning, topological data analysis
2D/3D medical image understanding, transfer learning for medical data
See the Research page for highlights about my past and current projects.
I obtained my PhD. degree in Computer Science from Stanford University in 2017, advised by Leonidas Guibas. My dissertation explores how to find shared structures in large GPS trajectories under uncertainty, and how the shared structures can be used to solve challenging problems. I obtained my undergradudate degree in Computer Science and Mathematics from Smith College in 2011, advised by Ileana Streinu. I was also a contributor to the KINARI project.
News
(2025/9/27) Two conference and two workshop papers presented at MICCAI’25. Congratulations to Jingyun Yang for receiving the Best Presentation Award at MICCAI’25 HAIC Workshop.
(2025/9/20) Two papers (preprint: [1] [2]) accepted at NeurIPS 2025 on optimizing learning strategy in continual learning and multi-source transfer learning.
(2025/5/25) I will be presenting a tutorial entitled “Information-Theoretic Measures for Multi-Expert Foundation Model Adaptation” with my colleague Shao-Lun Huang at Conference on Lifelong Agents (CoLLAs) 2025, which will be held at UPenn in Augst 11-14, 2025.
(2025/4/18) I gave a guest talk on trustworthy transfer learning at the computer science departement of University of Texas, Austin
(2025/4/6-17) I persented our papers at ICASSP 2025 (1,2) and ISBI 2025 (3,4)
(2025/4/3) I gave a computer science colloquium seminar entitled “Trustworthy Multi-Expert Transfer through Transferability Estimation” at City University of Hong Kong
(2024/10) I started a Wechat channel for my research group. Subscribe to us on WeChat @TsinghuaSIGS李阳课题组 for the latest updates!
(2024/7) We are organizing the 2024 Workshop on Learning & Information Theory in Shenzhen, China on August 19-20. Check out the website for more information!
(2024/2) I gave an AI seminar lecture on Transferability Guided Transfer Learning at The Hong Kong University of Science and Technology (Guangzhou)
(2023/10) I visited the CS Department at UT Austin and collaborated on a topological data analysis project with Prof. Qixing Huang's group.
(2023/7) We are hosting a Volunteer Behavior Prediction Data Challenge at IEEE MLSP 2023. See the Challenge Website for details!
Contact
Email:
Address:
Information Building, Rm 1108A
Tsinghua Shenzhen International Graduate School
Shenzhen, Guangdong, China (518055)