Jong-June Jeon

About

Jong-June Jeon is a Full Professor at the University of Seoul, South Korea. His research areas include variational autoencoders, machine learning applications in healthcare, and meteorological data analysis. Recently, he has published articles on topics such as adaptive adversarial augmentation for molecular property prediction and the development of diagnostic models for appendicitis. His work focuses on enhancing the interpretability and effectiveness of machine learning techniques across various fields.