Jihun Yi

3 papers and 292 indexed citations i.

Jihun Yi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jihun Yi has authored 3 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Jihun Yi’s work include Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jihun Yi is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jihun Yi collaborates with scholars based in South Korea and Nepal. Jihun Yi's co-authors include Sungroh Yoon, Jungbeom Lee, Siwon Kim and Eunji Kim and has published in prestigious journals such as IEEE Access, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).