| 2024 | NAACL | SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. | Sanghoon Kim, Dahyun Kim, Chanjun Park, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim |
| 2023 | RecSys | Lightweight Boosting Models for User Response Prediction Using Adversarial Validation. | Hyeonwoo Kim, Wonsung Lee |
| 2022 | WWW | Contrastive Learning for Knowledge Tracing. | Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park, Sungrae Park |
| 2019 | AAAI | Adversarial Dropout for Recurrent Neural Networks. | Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon |
| 2018 | AAAI | Neural Ideal Point Estimation Network. | Kyungwoo Song, Wonsung Lee, 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 |
| 2017 | CIKM | Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. | Wonsung Lee, Kyungwoo Song, Il-Chul Moon |
| 2016 | IJCAI | Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. | Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon |
| 2015 | CIKM | Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. | Sungrae Park, Wonsung Lee, Il-Chul Moon |
| 2014 | SMC | Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy. | Wonsung Lee, Gene Yi, Dain Jung, Minki Kim, Il-Chul Moon |
| 2014 | SMC | Disease-medicine topic model for prescription record mining. | Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon |