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

A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (CoRR, 2021)

Meta-Learning with a Geometry-Adaptive Preconditioner. - Suhyun Kang; Duhun Hwang; Moonjung Eo; Taesup Kim; Wonjong Rhee (CVPR, 2023)

Deep Learning Framework With Essential Pre-Processing Techniques for Improving Mixed-Gas Concentration Prediction. - Moonjung Eo; Jeongyun Han; Wonjong Rhee (IEEE Access, 2023)

A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (CoRR, 2023)

An effective low-rank compression with a joint rank selection followed by a compression-friendly training. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (Neural Networks, 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)

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)

Towards a better evaluation of out-of-domain generalization. - Duhun Hwang; Suhyun Kang; Moonjung Eo; Jimyeong Kim; Wonjong Rhee (Neural Networks, 2025)

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)

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)