Yunwen Lei
About
Yunwen Lei has authored 42 papers that have received a total of 255 indexed citations.
This includes 28 papers in Artificial Intelligence, 21 papers in Computational Mechanics and 11 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (20 papers), Stochastic Gradient Optimization Techniques (14 papers) and Machine Learning and Algorithms (10 papers). Yunwen Lei is often cited by papers focused on Sparse and Compressive Sensing Techniques (20 papers), Stochastic Gradient Optimization Techniques (14 papers) and Machine Learning and Algorithms (10 papers) and collaborates with scholars based in China, Hong Kong and United States. Yunwen Lei's co-authors include Ding‐Xuan Zhou, Marius Kloft, Ke Tang, Lixin Ding and Ürün Doǧan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Information Sciences
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