| Learning heterogeneous temporal patterns of user preference for timely recommendation J Cho, D Hyun, SK Kang, H Yu Proceedings of the Web Conference 2021, 1274-1283, 2021 | 26 | 2021 |
| Unsupervised proxy selection for session-based recommender systems J Cho, SK Kang, D Hyun, H Yu Proceedings of the 44th International ACM SIGIR Conference on research and …, 2021 | 21 | 2021 |
| Learning to utilize auxiliary reviews for recommendation D Hyun, C Park, J Cho, H Yu Information Sciences 545, 595-607, 2021 | 17 | 2021 |
| Building large-scale English and Korean datasets for aspect-level sentiment analysis in automotive domain D Hyun, J Cho, H Yu Proceedings of the 28th international conference on computational …, 2020 | 10 | 2020 |
| Dynamic multi-behavior sequence modeling for next item recommendation J Cho, D Hyun, D won Lim, H jae Cheon, H Park, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4199-4207, 2023 | 5 | 2023 |
| Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability D Hyun, C Park, J Cho, H Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Interest Sustainability-Aware Recommender System D Hyun, J Cho, C Park, H Yu 2020 IEEE International Conference on Data Mining (ICDM), 192-201, 2020 | 4 | 2020 |
| Sparse network inversion for key instance detection in multiple instance learning B Shin, J Cho, H Yu, S Choi 2020 25th International Conference on Pattern Recognition (ICPR), 4083-4090, 2021 | 3 | 2021 |
