Learning to Balance Local Losses via Meta-Learning. - Seungdong Yoa; Minkyu Jeon; Youngjin Oh; Hyunwoo J. Kim (IEEE Access, 2021)

k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment. - Minkyu Jeon; Hyeon-Jin Park; Hyunwoo J. Kim; Michael Morley; Hyunghoon Cho (ECCV (21), 2022)

SageMix: Saliency-Guided Mixup for Point Clouds. - Sanghyeok Lee; Minkyu Jeon; Injae Kim; Yunyang Xiong; Hyunwoo J. Kim (NeurIPS, 2022)

Randomly shuffled convolution for self-supervised representation learning. - Youngjin Oh; Minkyu Jeon; Dohwan Ko; Hyunwoo J. Kim (Inf. Sci., 2023)

CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM. - Minkyu Jeon; Rishwanth Raghu; Miro Astore; Geoffrey Woollard; Ryan Feathers; Alkin Kaz; Sonya M. Hanson; Pilar Cossio; Ellen D. Zhong (NeurIPS, 2024)

R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision. - Weeyoung Kwon; Jeahun Sung; Minkyu Jeon; Chanho Eom; Jihyong Oh (CoRR, 2025)