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 | 125 | 2021 |
PUMAD: PU metric learning for anomaly detection H Ju, D Lee, J Hwang, J Namkung, H Yu Information Sciences 523, 167-183, 2020 | 45 | 2020 |
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 | 16 | 2021 |
Action Space Learning for Heterogeneous User Behavior Prediction. D Lee, C Park, H Ju, J Hwang, H Yu IJCAI, 2830-2836, 2019 | 6 | 2019 |
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling H Ju, SK Kang, D Lee, J Hwang, S Jang, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8582-8590, 2024 | 5 | 2024 |
Mitigating viewpoint sensitivity of self-supervised one-class classifiers H Ju, D Lee, SK Kang, H Yu Information sciences 611, 225-242, 2022 | 3 | 2022 |
Dualsentinet: Dual prediction of word and document sentiments using shared word embedding D Lee, H Ju, H Yu, J Park, KY Kim Proceedings of the 12th International Conference on Ubiquitous Information …, 2018 | 2 | 2018 |
Multi-Domain Sequential Recommendation via Domain Space Learning J Hwang, H Ju, SK Kang, S Jang, H Yu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |