李阳

Research Interests:

-       Transfer learning, transferability estimation, domain adaptation & generalization   

-       Explainable representation learning, topological data analysis   

-       2D/3D medical image understanding    

Ph.D. in Computer Science, Stanford University, 2011 - 2017

B.A. Double major in Computer Science and Mathematics, Smith College, 2007 - 2011

Associate Professor without Tenure, January 2023 - Present

Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen Graduate International School,

Assistant Professor, October 2019 - December 2022

Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen Graduate International School,

Postdoctoral Researcher September 2017 - September 2019

IoT and Cyber-Physical System Lab, Tsinghua-Berkeley Shenzhen Institute.

Principal Investigators: Lin Zhang, Khalid Mosalam

Editorial Service

• Associated Editor, Franklin Open

• Editorial Board Member, Digital Signal Processing

Member

• IEEE Member, Signal Processing Society

• ACM Member

Chair & PC Member

• General Co-Chair, 1st TBSI Workshop on Data Science, Shenzhen, China, Dec 17-19, 2019

• Publicity Chair, 2nd TBSI Workshop on Learning Theory, Shenzhen, China, July 20-22, 2020

• PC Member, 26th International Conference on Neural Information Processing, Sydney, Australia, Dec 12–15, 2019

Reviewer

IEEE Transaction on Multimedia, Digital Signal Processing, IEEE Transactions on Intelligent

Transportation Systems, ACM Transactions on Spatial Algorithms and Systems, IEEE Transactions on Circuits and Systems for Video Technology, European Journal of Control, IEEE International Conference on Image Processing, International Conference on Artificial Intelligence and Statistics, IEEE Intelligent Transportation Systems Conference and etc.

·         Learning from Data: An introductory graduate course for machine learning  

·         Introduct to Transfer Learning: A short survey course on the algorithms, basic theory and research on transfer learning.

·         Seminar on Data Science and Information Technology: Advanced Learning Representations: A seminar course that discusses advanced representation learning methods, such as metric learning, generative models, graph neural networks, transformers etc. with hands-on exercises.

Research Interests:

-       Transfer learning, transferability estimation, domain adaptation & generalization   

-       Explainable representation learning, topological data analysis   

-       2D/3D medical image understanding    

National Natural Science Foundation of China project, “Optimizing Transfer Strategies for Medical Images via Latent Structure Learning among Heterogeneous Tasks” (62371270), Principle Investigator, funding: 500,000 CNY, 01/2024–12/2027.

National Natural Science Foundation of China project, “Heterogeneous Multi-Task Transfer Learning for Medical Image Understanding” (62001266), Principle Investigator, funding: 240,000 CNY, 01/2021–12/2023.

Journal Papers

Yang Tan, Yang Li* , Shao-Lun Huang, and Xiao-Ping Zhang, Transferability-Guided Cross-Domain Cross-Task Transfer Learning, in IEEE Transactions on Neural Networks and Learning Systems, 2024

Hu, Fan, Weihong Zhang, Huazhen Huang, Wang Li, Yang Li, and Peng Yin, A Transferability-Based

Method for Evaluating the Protein Representation Learning, in IEEE Journal of Biomedical and Health Informatics, 2024

 Taurai Muvunza and Yang Li* , Session-based Recommendation with Temporal Dynamics for Large Volunteer Networks, Journal of Intelligent Information Systems, 2023

Anping Zhang, Ke Zhang, Wanda Li, Yue Wang, Yang Li*, Lin Zhang. Optimising Self-Organised

Volunteer Efforts in Response to the COVID-19 Pandemic, Humanities and Social Sciences Communications, 9:134, 2022

Fei Ma, Yang Li, Shiguang Ni, Shao-Lun Huang, and Lin Zhang. Data Augmentation for Audio-Visual Emotion Recognition with an Efficient Multimodal Conditional GAN, Applied Sciences 12, no. 1: 527. 2022

Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang. Mining Regional Mobility Patterns for

Urban Dynamic Analytics. Mobile Networks and Applications 25(2): 459-473, 2020

Yang Li, Dimitrios Gunopulos, Cewu Lu and Leonidas Guibas, Personalized Travel Time Prediction

Using a Small Number of Probe Vehicles, ACM Transactions on Spatial Algorithms and Systems,

Special Issue on Urban Mobility: Algorithms and Systems, 2019

Conference Papers

Yanru Wu, Jianning Wang, Weida Wang and Yang Li*. H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’24), 2024

Dexu Kong, Anping Zhang, Yang Li*, Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis, in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI’24), 2024

Hanbing Liu, Jingge Wang, Xuan Zhang, Ye Guo, and Yang Li* . Enhancing Continuous Domain

Adaptation with Multi-Path Transfer Curriculum. The 28th The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024

Tang, Yuanbo, Zhiyuan Peng, and Yang Li*, Explainable Trajectory Representation through Dictionary Learning. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2023

Guoqing Zhang, Caixia Dong and Yang Li* . Topology-Preserving Hard Pixel Mining for Tubular

Structure Segmentation. The 34th British Machine Vision Conference (BMVC), 2023

Yang Tan, Yicong Li, Yang Li* , and Xiaoping Zhang. Efficient Prediction of Model Transferability in

Semantic Segmentation Tasks, 2023 IEEE International Conference on Image Processing (ICIP’23), 2023  

Yicong Li, Yang Tan, Jingyun Yang, Yang Li* , and Xiao-Ping Zhang, Finding the Most Transferable

Tasks for Medical Image Segmentation, In Proceedings of the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022

Yang Tan, Yang Li* and Shao-lun Huang. OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Jingyun Yang, Jie Hu, Yicong Li, Heng Liu and Yang Li* . Joint PVL Detection and Manual Ability

Classification Using Semi-supervised Multi-task Learning. In Proceedings of Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

Zihao Zhou, Aihua Ran, Shuxiao Chen, Guodan Wei, Hongbin Sun, Xuan Zhang* and Yang Li* .

Few-Shot Cross Domain Battery Capacity Estimation. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp) and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir R. Zamir, and Leonidas

Guibas. An Information- Theoretic Metric to Transferability for Task Transfer Learning. In Proceedings of the 26th IEEE International Conference on Image Processing (ICIP), 2019. (Joint first author)

Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, and Lin Zhang. Joint Mobility Pattern Mining with

Urban Region Partitions. In EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2018 (Best Paper Award)

Yang Li, Dimitrios Gunopulos, Cewu Lu and Leonidas Guibas, Urban Travel Time Prediction Using

a Small Number of GPS-Floating Cars, 25th SIGSPATIAL International Conference on Advances in

Geographic Information Systems (ACM SIGSPATIAL), 2017

Yang Li, Yangyan Li, Dimitrios Gunopulos, and Leonidas Guibas, Knowledge-Based Trajectory Completion from Sparse GPS Samples, In Proceedings of the 24th SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2016

Yang Li, Qixing Huang, Michael Kerber, Li Zhang and Leonidas Guibas, Large-Scale Joint Map Matching of GPS Traces, In Proceedings of the 21th SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2013

Best Paper Award, EAI International Conference on Mobile and Ubiquitous Systems (2018)