On the Statistical and Information-theoretic Characteristics of Deep Network Representations. - Daeyoung Choi; Kyungeun Lee; Changho Shin; Wonjong Rhee (CoRR, 2018)

Graph Convolutional Modules for Traffic Forecasting. - Kyungeun Lee; Wonjong Rhee (CoRR, 2019)

A Systematic Review of the Multi-Resolution Modeling (MRM) for Integration of Live, Virtual, and Constructive Systems. - Kyungeun Lee; Gene Lee; Luis Rabelo (Inf., 2020)

Statistical Characteristics of Deep Representations: An Empirical Investigation. - Daeyoung Choi; Kyungeun Lee; Duhun Hwang; Wonjong Rhee (ICANN (5), 2021)

Short-Term Traffic Prediction With Deep Neural Networks: A Survey. - Kyungeun Lee; Moonjung Eo; Euna Jung; Yoonjin Yoon; Wonjong Rhee (IEEE Access, 2021)

Expected system improvement (ESI): A new learning function for system reliability analysis. - Seong-Hyeok Yang; Hwisang Jo; Kyungeun Lee; Ikjin Lee (Reliab. Eng. Syst. Saf., 2022)

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)

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)

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains. - Kyungeun Lee; Ye Seul Sim; Hye-Seung Cho; Moonjung Eo; Suhee Yoon; Sanghyu Yoon; Woohyung Lim (ICML, 2024)

A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets. - Kyungeun Lee; Wonjong Rhee (NeurIPS, 2024)

Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views. - Jihoon Cho; Suhyun Ahn; Beomju Kim; Hyungjoon Bae 002; Xiaofeng Liu 001; Fangxu Xing; Kyungeun Lee; Georges El Fakhri; Van J. Wedeen; Jonghye Woo; Jinah Park (CoRR, 2024)

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

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data. - Moonjung Eo; Kyungeun Lee; Hye-Seung Cho; Dongmin Kim; Ye Seul Sim; Woohyung Lim (AAAI, 2025)

Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection. - Suhee Yoon; Sanghyu Yoon; Ye Seul Sim; Sungik Choi; Kyungeun Lee; Hye-Seung Cho; Hankook Lee; Woohyung Lim (AAAI, 2025)

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains. - Kyungeun Lee; Moonjung Eo; Hye-Seung Cho; Dongmin Kim; Ye Seul Sim; Seoyoon Kim; Min-Kook Suh; Woohyung Lim (CoRR, 2025)