Kwangmoo Koh
About
Kwangmoo Koh has authored 8 papers that have received a total of 2.0k indexed citations.
This includes 7 papers in Computational Mechanics, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. The topics of these papers are Sparse and Compressive Sensing Techniques (7 papers), Multi-Criteria Decision Making (3 papers) and Advanced Optimization Algorithms Research (2 papers). Kwangmoo Koh is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Multi-Criteria Decision Making (3 papers) and Advanced Optimization Algorithms Research (2 papers) and collaborates with scholars based in United States. Kwangmoo Koh's co-authors include Seung-Jean Kim, Stephen Boyd, Michael Lustig, Dimitry Gorinevsky and Alessandro Magnani and has published in prestigious journals such as SIAM Review, Journal of Machine Learning Research and IEEE Journal of Selected Topics in Signal Processing
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