Shenghuo Zhu
About
Shenghuo Zhu has authored 77 papers that have received a total of 3.0k indexed citations.
This includes 48 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (14 papers), Stochastic Gradient Optimization Techniques (11 papers) and Topic Modeling (9 papers). Shenghuo Zhu is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Stochastic Gradient Optimization Techniques (11 papers) and Topic Modeling (9 papers) and collaborates with scholars based in United States, China and Taiwan. Shenghuo Zhu's co-authors include Rong Jin, Yihong Gong, Tao Li, Yün Chi and Dingding Wang and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.
In The Last Decade
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