Yaoliang Yu
About
Yaoliang Yu has authored 52 papers that have received a total of 1.2k indexed citations.
This includes 31 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (13 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Stochastic Gradient Optimization Techniques (9 papers). Yaoliang Yu is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Stochastic Gradient Optimization Techniques (9 papers) and collaborates with scholars based in Canada, United States and Australia. Yaoliang Yu's co-authors include Eric P. Xing, Dale Schuurmans, Xinhua Zhang, Pengtao Xie and Xiaojun Chang and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence
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