| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | KDD | 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 |
| 2024 | ICML | 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 |
| 2023 | AAAI | Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. | Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee |
| 2021 | ICANN | Statistical Characteristics of Deep Representations: An Empirical Investigation. | Daeyoung Choi, Kyungeun Lee, Duhun Hwang, Wonjong Rhee |