Jonathan Huang
About
Jonathan Huang has authored 66 papers that have received a total of 1.7k indexed citations.
This includes 27 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. The topics of these papers are Bayesian Modeling and Causal Inference (8 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Music and Audio Processing (6 papers). Jonathan Huang is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Music and Audio Processing (6 papers) and collaborates with scholars based in United States, Taiwan and China. Jonathan Huang's co-authors include Carlos Guestrin, Leonidas Guibas, Lama Nachman, Vivek Rathod and Nathan A. Shlobin and has published in prestigious journals such as Nature, Journal of Hepatology and Magnetic Resonance in Medicine.
In The Last Decade
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