Mingyuan Zhou
About
Mingyuan Zhou has authored 87 papers that have received a total of 1.4k indexed citations.
This includes 52 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 12 papers in Statistics and Probability. The topics of these papers are Bayesian Methods and Mixture Models (16 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Topic Modeling (11 papers). Mingyuan Zhou is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Topic Modeling (11 papers) and collaborates with scholars based in United States, China and United Kingdom. Mingyuan Zhou's co-authors include Lawrence Carin, Xiaoning Qian, Bo Chen and Zhengjue Wang and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
In The Last Decade
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