| 2024 | AAAI | Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. | Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon |
| 2023 | AISTATS | Loss-Curvature Matching for Dataset Selection and Condensation. | Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon |
| 2021 | AAAI | Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. | Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon |
| 2020 | AAAI | Sequential Recommendation with Relation-Aware Kernelized Self-Attention. | Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon |
| 2020 | CIKM | Deep Generative Positive-Unlabeled Learning under Selection Bias. | Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon |
| 2020 | EMNLP | Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. | Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon |
| 2018 | ICDM | Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. | Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon |