Liu Yang

简介

Full Professor(天津大学 教授，博士生导师) yangliuyl@tju.edu.cn Office: 55-B521, Peiyang Campus, Jinnan District, Tianjin, China, 300350 Tianjin University School of Computer Science and Technology Lab of Machine Learning and Data Mining Liu Yang received her Ph.D. degree from School of Computer and Information Technology, Beijing Jiaotong University in 2016. She was a visiting scholar at Pai Chai University in Korea and Hong Kong Baptist University in 2007 and 2013 respectively. Her main research interests are theories and methods of transfer learning, federated learning and multi-view learning in machine learning.

代表成果

• Haodong Zhang, Liu Yang , Qinghua Hu, Liping Jing. Federated Continual Learning Based on Prototype Learning (in Chinese). Sci Sin Inform, 2024. (CCF-A类)
• Yuting Liu, Liu Yang , Yu Wang. Hierarchical Fine-grained Visual Classification Leveraging Consistent Hierarchical Knowledge. European Conference on Machine Learning, 2024. (CCF-B类)
• Liu Yang , Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu. Soft Independence Guided Filter Pruning, Pattern Recognition, 2024. (SCI一区)
• Siqi Deng, Liu Yang . Enhancing Consistent Federated Learning Objectives through Uniform Feature Distributions, IEEE International Conference on Multimedia and Expo , 2024. (CCF-B类)
• Jing Li, Liu Yang* , Qinghua Hu. Enhancing Multi-Source Open-Set Domain Adaptation through Nearest Neighbor Classification with Self-Supervised Vision Transforme, IEEE Transactions on Circuits and Systems for Video Technology , 2024.(SCI一区)
• Qilong Wang, Yiwen Wu, Liu Yang , Wangmeng Zuo, Qinghua Hu. Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation, IEEE Transactions on Image Processing , 2024.(CCF-A类)
• Zixuan Qin, Liu Yang* , Qilong Wang, Qinghua Hu. Reliable and Interpretable Personalized Federated Learning, IEEE Conference on Computer Vision and Pattern Recognition , 2023.(CCF-A类)
• Jing Li, Liu Yang* , Qilong Wang, Qinghua Hu. WDAN: A Weighted Discriminative Adversarial Network with Dual Classifiers for Fine-Grained Open-Set Domain Adaptation, IEEE Transactions on Circuits and Systems for Video Technology , 2023.(SCI一区)
• Jing Li, Liu Yang* , Qilong Wang, Qinghua Hu. Corse helps fine: A Multi-Granularity Discriminative Adversarial Network for Fine-grained Open Set Domain Adaptation. IEEE International Conference on Multi-media and Expo , 2023.(CCF-B类)
• Zixuan Qin, Liu Yang* , Fei Gao, Qinghua Hu, Chenyang Shen. Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation, IEEE Transactions on Neural Networks and Learning Systems , 2022.(SCI一区)