| 2026 | AAAI | Fair Model-based Clustering. | Jinwon Park, Kunwoong Kim, Jihu Lee, Yongdai Kim |
| 2025 | CVPR | TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification. | Dongyoon Yang, Jihu Lee, Yongdai Kim |
| 2025 | ICML | Fair Clustering via Alignment. | Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim |
| 2025 | ICML | Tensor Product Neural Networks for Functional ANOVA Model. | Seokhun Park, Insung Kong, Yongchan Choi, Chanmoo Park, Yongdai Kim |
| 2024 | AAAI | IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. | Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim |
| 2024 | ICML | ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models. | Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim |
| 2023 | ICCV | Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. | Dongyoon Yang, Insung Kong, Yongdai Kim |
| 2023 | ICML | Covariate balancing using the integral probability metric for causal inference. | Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim |
| 2023 | ICML | Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. | Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim |
| 2023 | ICML | Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples. | Dongyoon Yang, Insung Kong, Yongdai Kim |
| 2022 | ICML | Learning fair representation with a parametric integral probability metric. | Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim |
| 2021 | AAAI | Kernel-convoluted Deep Neural Networks with Data Augmentation. | Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik |
| 2020 | AISTATS | On casting importance weighted autoencoder to an EM algorithm to learn deep generative models. | Dongha Kim, Jaesung Hwang, Yongdai Kim |
| 2004 | ICML | Gradient LASSO for feature selection. | Yongdai Kim, Jinseog Kim |
| 2003 | PAKDD | Averaged Boosting: A Noise-Robust Ensemble Method. | Yongdai Kim |
| 2002 | ICDM | Convex Hull Ensemble Machine. | Yongdai Kim |