Learning ECG Representations for Multi-Label Classification of Cardiac Abnormalities. - Jangwon Suh; Jimyeong Kim; Eunjung Lee; Jaeill Kim; Duhun Hwang; Jungwon Park; Junghoon Lee; JaeSeung Park; Seo-Yoon Moon; Yeonsu Kim; Min Kang; Soonil Kwon; et al. (CinC, 2021)

Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. - Jungwook Shin; Jaeill Kim; Kyungeun Lee; Hyunghun Cho; Wonjong Rhee (AAAI, 2023)

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution. - Jaeill Kim; Suhyun Kang; Duhun Hwang; Jungwook Shin; Wonjong Rhee (CVPR, 2023)

Enhancing Fine-Tuning in Low Data Regime by Increasing Representation Entropy During Pre-Training Phase. - Jaeill Kim; Jungwook Shin; Wonjong Rhee (ICTC, 2023)

Elastic Deformable Augmentation for Autonomous Driving. - Jungwook Shin; Jaeill Kim; Wonjong Rhee (ICTC, 2023)

DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. - Jungwook Shin; Jaeill Kim; Kyungeun Lee; Hyunghun Cho; Wonjong Rhee (CoRR, 2023)

Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis. - Euna Jung; Jaeill Kim; Jungmin Ko; Jinwoo Park; Wonjong Rhee (IEEE Access, 2024)

Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing. - Jaeill Kim; Duhun Hwang; Eunjung Lee; Jangwon Suh; Jimyeong Kim; Wonjong Rhee (CoRR, 2024)

Towards a rigorous analysis of mutual information in contrastive learning. - Kyungeun Lee; Jaeill Kim; Suhyun Kang; Wonjong Rhee (Neural Networks, 2024)

Improving forward compatibility in class incremental learning by increasing representation rank and feature richness. - Jaeill Kim; Wonseok Lee; Moonjung Eo; Wonjong Rhee (Neural Networks, 2025)