Kun Zhang

119 papers and 2.0k indexed citations i.

About

Kun Zhang has authored 119 papers that have received a total of 2.0k indexed citations. This includes 78 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 19 papers in Signal Processing. The topics of these papers are Bayesian Modeling and Causal Inference (38 papers), Blind Source Separation Techniques (15 papers) and Domain Adaptation and Few-Shot Learning (15 papers). Kun Zhang is often cited by papers focused on Bayesian Modeling and Causal Inference (38 papers), Blind Source Separation Techniques (15 papers) and Domain Adaptation and Few-Shot Learning (15 papers) and collaborates with scholars based in United States, China and Germany. Kun Zhang's co-authors include Bernhard Schölkopf, Mingming Gong, Biwei Huang, Clark Glymour and Ruichu Cai and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports

In The Last Decade

Rankless by CCL
2025