Yu-Xiang Wang
About
Yu-Xiang Wang has authored 37 papers that have received a total of 809 indexed citations.
This includes 22 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Mechanics. The topics of these papers are Privacy-Preserving Technologies in Data (12 papers), Stochastic Gradient Optimization Techniques (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). Yu-Xiang Wang is often cited by papers focused on Privacy-Preserving Technologies in Data (12 papers), Stochastic Gradient Optimization Techniques (7 papers) and Sparse and Compressive Sensing Techniques (6 papers) and collaborates with scholars based in United States, China and United Kingdom. Yu-Xiang Wang's co-authors include Ryan J. Tibshirani, Yining Wang, Aarti Singh, Kamyar Azizzadenesheli and Jeremy Bernstein and has published in prestigious journals such as IEEE Transactions on Information Theory, Geophysics and Operations Research
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