Prof. Yang Xiaowei, doctoral tutor, received a bachelor's degree in theoretical and applied mechanics, a master's degree in computational mechanics and a doctorate in solid mechanics from the Department of Mathematics, Mathematics and Engineering Mechanics of Jilin University, in 1991, 1996 and 2000 respectively. He mainly researched on machine learning and pattern recognition, and has published more than 100 papers in domestic and international journals and academic conferences such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, etc., which have been cited by domestic and foreign counterparts for more than 2,300 times. Moreover, he has instructed more than 60 academic masters and doctor, one of whom won the National Excellent Youth Prize, four obtained the Guangdong Outstanding Youth Prize, and one obtained the Pearl River Youth Prize.

E-mail: xwyang@scut.edu.cn

Research Direction:Machine Learning and Pattern Recognition: Research focusing particularly on Support Vector Machines, Domain Adaptation, Tensor Learning Theory and their applications

Representative Papers

1.Pei Hang, Zhaoming Kong, Limin Wang, Xueming Han, and Xiaowei Yang, Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning, IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(4): 6229-6243.

2.Mengying, Xie, Xiaolan Liu, Xiaowei Yang, A non-local self-similarity based weighted tensor low-rank decomposition for multi-channel image completion with mixture noise, IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(1): 73-87.

3.Pei Huang, Mengying Xie, Xiaowei Yang, Unsupervised feature selection via controllable adaptive graph learning and discriminative feature learning, IEEE Transactions on Neural Networks and Learning Systems, 2024,  35 (11): 15600-15614.

4.Yi Xiang, Han Huang, Sizhe Li, Minqing Li, Chuan Luo, and Xiaowei Yang, Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization, ACM Transactions on Software Engineering and Methodology, 2023, 33(2):1-46.

5.Mengying Xie, Xiaolan Liu, Xiaowei Yang, Wenzeng Cai, Multi-channel image completion with mixture noise: adaptive sparse low-rank tensor subspace meets non-local self-similarity, IEEE Transactions on Cybernetics, 2023, 53(12): 7521-7534.