Kyungeun Lee

21 papers A* 5Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection.
AAAI
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim
2025 J jnl
MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains.
CoRR
Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Seoyoon Kim, Min-Kook Suh, Woohyung Lim
2025 — conf
Range-limited Augmentation for Few-shot Learning in Tabular Data with Comprehensive Benchmark.
KDD (2)
Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Min-Kook Suh, Seoyoon Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
2025 A* conf
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data.
AAAI
Moonjung Eo, Kyungeun Lee, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Woohyung Lim
2024 A* conf
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets.
NeurIPS
Kyungeun Lee, Wonjong Rhee
2024 J jnl
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets.
CoRR
Kyungeun Lee, Wonjong Rhee
2024 A* conf
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains.
ICML
Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
2024 J jnl
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains.
CoRR
Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
2024 J jnl
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection.
CoRR
Suhee Yoon, Sanghyu Yoon, Hankook Lee, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Woohyung Lim
2024 J jnl
Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views.
CoRR
Jihoon Cho, Suhyun Ahn, Beomju Kim, Hyungjoon Bae, Xiaofeng Liu, Fangxu Xing, Kyungeun Lee, Georges El Fakhri, Van J. Wedeen, Jonghye Woo, Jinah Park
2024 J jnl
Towards a rigorous analysis of mutual information in contrastive learning.
Neural Networks
Kyungeun Lee, Jaeill Kim, Suhyun Kang, Wonjong Rhee
2023 J jnl
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion.
CoRR
Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee
2023 A* conf
Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion.
AAAI
Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee
2023 J jnl
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning.
CoRR
Kyungeun Lee, Jaeill Kim, Suhyun Kang, Wonjong Rhee
2022 J jnl
Expected system improvement (ESI): A new learning function for system reliability analysis.
Reliab. Eng. Syst. Saf.
Seong-Hyeok Yang, Hwisang Jo, Kyungeun Lee, Ikjin Lee
2021 J jnl
Short-Term Traffic Prediction With Deep Neural Networks: A Survey.
IEEE Access
Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee
2021 — conf
Statistical Characteristics of Deep Representations: An Empirical Investigation.
ICANN (5)
Daeyoung Choi, Kyungeun Lee, Duhun Hwang, Wonjong Rhee
2020 J jnl
A Systematic Review of the Multi-Resolution Modeling (MRM) for Integration of Live, Virtual, and Constructive Systems.
Inf.
Kyungeun Lee, Gene Lee, Luis Rabelo
2020 J jnl
Short-term Traffic Prediction with Deep Neural Networks: A Survey.
CoRR
Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee
2019 J jnl
Graph Convolutional Modules for Traffic Forecasting.
CoRR
Kyungeun Lee, Wonjong Rhee
2018 J jnl
On the Statistical and Information-theoretic Characteristics of Deep Network Representations.
CoRR
Daeyoung Choi, Kyungeun Lee, Changho Shin, Wonjong Rhee