Valid oversampling schemes to handle imbalance. - Young-geun Kim 002; Yongchan Kwon; Myunghee Cho Paik (Pattern Recognit. Lett., 2019)

Lipschitz Continuous Autoencoders in Application to Anomaly Detection. - Young-geun Kim 002; Yongchan Kwon; Hyunwoong Chang; Myunghee Cho Paik (AISTATS, 2020)

Kernel-convoluted Deep Neural Networks with Data Augmentation. - Minjin Kim; Young-geun Kim 002; Dongha Kim; Yongdai Kim; Myunghee Cho Paik (AAAI, 2021)

Wasserstein Geodesic Generator for Conditional Distributions. - Young-geun Kim 002; Kyungbok Lee; Youngwon Choi; Joong-Ho Won; Myunghee Cho Paik (CoRR, 2023)

Conditional Wasserstein Generator. - Young-geun Kim 002; Kyungbok Lee; Myunghee Cho Paik (IEEE Trans. Pattern Anal. Mach. Intell., 2023)