| Semi-supervised learning for cross-domain recommendation to cold-start users SK Kang, J Hwang, D Lee, H Yu Proceedings of the 28th ACM international conference on information and …, 2019 | 160 | 2019 |
| Bootstrapping user and item representations for one-class collaborative filtering D Lee, SK Kang, H Ju, C Park, H Yu Proceedings of the 44th international ACM SIGIR conference on Research and …, 2021 | 77 | 2021 |
| Generating sequential electronic health records using dual adversarial autoencoder D Lee, H Yu, X Jiang, D Rogith, M Gudala, M Tejani, Q Zhang, L Xiong Journal of the American Medical Informatics Association 27 (9), 1411-1419, 2020 | 54 | 2020 |
| PUMAD: PU metric learning for anomaly detection H Ju, D Lee, J Hwang, J Namkung, H Yu Information Sciences 523, 167-183, 2020 | 35 | 2020 |
| Harmonized representation learning on dynamic EHR graphs D Lee, X Jiang, H Yu Journal of biomedical informatics 106, 103426, 2020 | 32 | 2020 |
| Learnable Dynamic Temporal Pooling for Time Series Classification D Lee, S Lee, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8288-8296, 2021 | 27 | 2021 |
| Multi-class data description for out-of-distribution detection D Lee, S Yu, H Yu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 24 | 2020 |
| Taxocom: Topic taxonomy completion with hierarchical discovery of novel topic clusters D Lee, J Shen, SK Kang, S Yoon, J Han, H Yu Proceedings of the ACM Web Conference 2022, 2819-2829, 2022 | 18 | 2022 |
| Personalized knowledge distillation for recommender system SK Kang, D Lee, W Kweon, H Yu Knowledge-Based Systems 239, 107958, 2022 | 17 | 2022 |
| Toward interpretable semantic textual similarity via optimal transport-based contrastive sentence learning S Lee, D Lee, S Jang, H Yu arXiv preprint arXiv:2202.13196, 2022 | 16 | 2022 |
| Learnable structural semantic readout for graph classification D Lee, S Kim, S Lee, C Park, H Yu 2021 IEEE International Conference on Data Mining (ICDM), 1180-1185, 2021 | 14 | 2021 |
| Dialogue chain-of-thought distillation for commonsense-aware conversational agents H Chae, Y Song, KT Ong, T Kwon, M Kim, Y Yu, D Lee, D Kang, J Yeo arXiv preprint arXiv:2310.09343, 2023 | 11 | 2023 |
| Fast tucker factorization for large-scale tensor completion D Lee, J Lee, H Yu 2018 IEEE International Conference on Data Mining (ICDM), 1098-1103, 2018 | 11 | 2018 |
| GeoVideoIndex: Indexing for georeferenced videos D Lee, J Oh, WK Loh, H Yu Information sciences 374, 210-223, 2016 | 11 | 2016 |
| Distillation from heterogeneous models for top-k recommendation SK Kang, W Kweon, D Lee, J Lian, X Xie, H Yu Proceedings of the ACM Web Conference 2023, 801-811, 2023 | 9 | 2023 |
| Weakly supervised temporal anomaly segmentation with dynamic time warping D Lee, S Yu, H Ju, H Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 9 | 2021 |
| Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SK Kang, D Lee, W Kweon, J Hwang, H Yu Proceedings of the ACM Web Conference 2022, 1965-1976, 2022 | 8 | 2022 |
| Scstory: Self-supervised and continual online story discovery S Yoon, Y Meng, D Lee, J Han Proceedings of the ACM Web Conference 2023, 1853-1864, 2023 | 6 | 2023 |
| Scalable disk-based topic modeling for memory limited devices B Kim, D Lee, J Oh, H Yu Information sciences 516, 353-369, 2020 | 5 | 2020 |
| Action Space Learning for Heterogeneous User Behavior Prediction. D Lee, C Park, H Ju, J Hwang, H Yu IJCAI, 2830-2836, 2019 | 5 | 2019 |
