Kyungeun Lee

According to our database, Kyungeun Lee authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MultiTabPFN: Codebook-based extensions of TabPFN for high-class-count tabular classification.

Kyungeun Lee

Neural Networks, 2026

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, May, 2025

Range-limited Augmentation for Few-shot Learning in Tabular Data with Comprehensive Benchmark.

Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Min-Kook Suh, Seoyoon Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Towards a rigorous analysis of mutual information in contrastive learning.

Kyungeun Lee, Jaeill Kim, Suhyun Kang, Wonjong Rhee

Neural Networks, 2024

Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views.

Jihoon Cho, Suhyun Ahn, Beomju Kim, Hyungjoon Bae, Xiaofeng Liu, Fangxu Xing, Kyungeun Lee, Georges El Fakhri, Van J. Wedeen, Jonghye Woo, Jinah Park

CoRR, 2024

A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets.

Kyungeun Lee, Wonjong Rhee

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion.

Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

2021

Short-Term Traffic Prediction With Deep Neural Networks: A Survey.

Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee

IEEE Access, 2021

Statistical Characteristics of Deep Representations: An Empirical Investigation.

Daeyoung Choi, Kyungeun Lee, Duhun Hwang, Wonjong Rhee

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

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

2019

Graph Convolutional Modules for Traffic Forecasting.

Kyungeun Lee, Wonjong Rhee

CoRR, 2019

2018

On the Statistical and Information-theoretic Characteristics of Deep Network Representations.

Daeyoung Choi, Kyungeun Lee, Changho Shin, Wonjong Rhee

CoRR, 2018