Guanghui Lan
About
Guanghui Lan has authored 69 papers that have received a total of 3.4k indexed citations.
This includes 44 papers in Artificial Intelligence, 36 papers in Computational Mechanics and 22 papers in Numerical Analysis. The topics of these papers are Stochastic Gradient Optimization Techniques (38 papers), Sparse and Compressive Sensing Techniques (36 papers) and Advanced Optimization Algorithms Research (22 papers). Guanghui Lan is often cited by papers focused on Stochastic Gradient Optimization Techniques (38 papers), Sparse and Compressive Sensing Techniques (36 papers) and Advanced Optimization Algorithms Research (22 papers) and collaborates with scholars based in United States, China and France. Guanghui Lan's co-authors include Saeed Ghadimi, Yi Zhou, Yuyuan Ouyang, Yunmei Chen and Renato D. C. Monteiro and has published in prestigious journals such as Environmental Science & Technology, European Journal of Operational Research and Journal of Membrane Science
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