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
