Sehoon Kim

6 papers and 58 indexed citations i.

Sehoon Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sehoon Kim has authored 6 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Sehoon Kim’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Natural Language Processing Techniques (2 papers). Sehoon Kim is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Natural Language Processing Techniques (2 papers). Sehoon Kim collaborates with scholars based in United States, United Kingdom and Switzerland. Sehoon Kim's co-authors include Kurt Keutzer, Michael W. Mahoney, Zhewei Yao, Amir Gholami and Zhen Dong and has published in prestigious journals such as Proceedings of the VLDB Endowment and IEEE Micro.