Pengkun Yang

16 papers and 353 indexed citations i.

Pengkun Yang has authored 16 papers that have received a total of 353 indexed citations. This includes 10 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Statistics and Probability. The topics of these papers are Machine Learning and Algorithms (5 papers), Bayesian Methods and Mixture Models (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Pengkun Yang is often cited by papers focused on Machine Learning and Algorithms (5 papers), Bayesian Methods and Mixture Models (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United States, China and Macao. Pengkun Yang's co-authors include Yihong Wu, Xingjian Li, Cheng‐Zhong Xu, Harrison H. Zhou and Abulikemu Abuduweili and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Pattern Recognition