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
In The Last Decade
Explore authors with similar magnitude of impact
Top fields papers by Troels Wienecke are about Top fields papers by M. Ramisch are about Top journals papers by Jun Kang are published in Top fields papers by Darren B. Thomson are about Top journals papers by David C. Paik are published in Top journals papers by Bingfang He are published in Top countries impacted by papers by David Rodríguez‐Gómez Top countries impacted by papers by Bin Lu