Kai Yu

28 papers and 5.0k indexed citations i.

Kai Yu has authored 28 papers that have received a total of 5.0k indexed citations. This includes 24 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Neural Networks and Applications (5 papers). Kai Yu is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Neural Networks and Applications (5 papers) and collaborates with scholars based in Germany, United States and China. Kai Yu's co-authors include Volker Tresp, Shipeng Yu, Hans‐Peter Kriegel, Shenghuo Zhu and Yihong Gong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Journal of Biomedical Informatics.