Adams Wei Yu
About
Adams Wei Yu has authored 16 papers that have received a total of 436 indexed citations.
This includes 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Adams Wei Yu is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers) and collaborates with scholars based in United States, China and Hong Kong. Adams Wei Yu's co-authors include Quoc V. Le, Mingxing Tan, Daiyi Peng, Suvrit Sra and Denny Zhou and has published in prestigious journals such as Neurocomputing, Journal of Machine Learning Research and Proceedings of the VLDB Endowment.
In The Last Decade
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