Name：Pei Yang

Professional Title / Position：Associate Professor

Research Direction：

Statistical machine learning such as multi-task learning, transfer learning, deep learning, heterogeneous learning, few-shot learning, and optimal transport theory, with applications on healthcare, computer vision, intelligent education, bioinformatics, etc.

Team：

Machine learning and data mining

Tel：/

Email：

yangpei@scut.edu.cn

Biography：

Pei Yang is an associate professor at South China University of Technology. He received the Bachelor degree from Shanghai Jiaotong University, and the PhD degree from South China University of Technology. He was a research scientist in Arizona State University. His research focuses on statistical machine learning such as multi-task learning, transfer learning, deep learning, heterogeneous learning, few-shot learning, and optimal transport theory, with applications on healthcare, computer vision, intelligent education, bioinformatics, etc. He has published over 50 research articles on referred journals and top-tier conference proceedings. His paper in ICDM 2016 had been awarded as Bests of the Conference. He has served as the PC/Senior PC of conferences such as NeurIPS, ICML, ICLR, KDD, IJCAI, AAAI, etc.

Publications: https://dblp.org/pid/51/6008-1.html

Education：

Shanghai Jiaotong University, Bachelor

South China University of Technology, PhD

Work Experience：

South China University of Technology

Course：

Advanced Artificial Intelligence

Projects：

1. Towards Robust and Interpretable Heterogeneity Learning Systems Co-driven by Data and Knowledge, National Natural Science Foundation of China.

2. Deep Heterogeneous Learning based on Multi-player Game Theory, National Natural Science Foundation of China.

3. Heterogeneous Machine Learning and Its Application in Big Data Mining, National Natural Science Foundation of China.

Publications：

DBLP: https://dblp.org/pid/51/6008-1.html 

Awards：

Bests Paper Award of the Conference in ICDM 2016.