Quanquan Gu
About
Quanquan Gu has authored 99 papers that have received a total of 1.8k indexed citations.
This includes 59 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 28 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (28 papers), Stochastic Gradient Optimization Techniques (28 papers) and Machine Learning and ELM (15 papers). Quanquan Gu is often cited by papers focused on Sparse and Compressive Sensing Techniques (28 papers), Stochastic Gradient Optimization Techniques (28 papers) and Machine Learning and ELM (15 papers) and collaborates with scholars based in United States, China and Canada. Quanquan Gu's co-authors include Jiawei Han, Pan Xu, Dongruo Zhou, Lingxiao Wang and Difan Zou and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Methods.
In The Last Decade
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