| Review sentiment-guided scalable deep recommender system D Hyun, C Park, MC Yang, I Song, JT Lee, H Yu The 41st international ACM SIGIR conference on research & development in …, 2018 | 48 | 2018 |
| Target-aware convolutional neural network for target-level sentiment analysis D Hyun, C Park, MC Yang, I Song, JT Lee, H Yu Information Sciences 491, 166-178, 2019 | 42 | 2019 |
| 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 | 35 | 2021 |
| Conditional Graph Information Bottleneck for Molecular Relational Learning N Lee, D Hyun, GS Na, S Kim, J Lee, C Park Proceedings of the 40th International Conference on Machine Learning, 2023 | 33 | 2023 |
| Influence maximization based on reachability sketches in dynamic graphs D Kim, D Hyeon, J Oh, WS Han, H Yu Information Sciences 394, 217-231, 2017 | 29 | 2017 |
| Heterogeneous Graph Learning for Multi-modal Medical Data Analysis S Kim, N Lee, J Lee, D Hyun, C Park Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 27 | 2022 |
| MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation K Kim, D Hyun, S Yun, C Park The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 26 | 2023 |
| 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 | 26 | 2021 |
| Relational self-supervised learning on graphs N Lee, D Hyun, J Lee, C Park Proceedings of the 31st ACM international conference on information …, 2022 | 24 | 2022 |
| Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning J Lee, S Kim, D Hyun, N Lee, Y Kim, C Park Bioinformatics 39 (6), btad342, 2023 | 20 | 2023 |
| Learning to utilize auxiliary reviews for recommendation D Hyun, C Park, J Cho, H Yu Information Sciences 545, 595-607, 2021 | 19 | 2021 |
| Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation J Cho, D Hyun, H Park, H Yu Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 18 | 2023 |
| 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 | 14 | 2020 |
| GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment L Junseok, O Yunhak, I Yeonjun, L Namkyeong, H Dongmin, C Park The 45th International ACM SIGIR Conference on Research and Development in …, 2022 | 11 | 2022 |
| Density of states prediction of crystalline materials via prompt-guided multi-modal transformer N Lee, H Noh, S Kim, D Hyun, GS Na, C Park Advances in Neural Information Processing Systems 36, 61678-61698, 2023 | 8 | 2023 |
| Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization D Hyun, X Wang, C Park, X Xie, H Yu Findings of the Association for Computational Linguistics: EMNLP 2022, 2939–2951, 2022 | 7 | 2022 |
| 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 | 7 | 2022 |
| MUSE: music recommender system with shuffle play recommendation enhancement Y Oh, S Yun, D Hyun, S Kim, C Park Proceedings of the 32nd ACM international conference on information and …, 2023 | 6 | 2023 |
| Interest sustainability-aware recommender system D Hyun, J Cho, C Park, H Yu 2020 IEEE International Conference on Data Mining (ICDM), 192-201, 2020 | 6 | 2020 |
| Predicting Density of States via Multi-modal Transformer N Lee, H Noh, S Kim, D Hyun, GS Na, C Park ICLR 2022 Workshop on Machine Learning for Materials, 2023 | 2 | 2023 |
Chanyoung ParkAssociate Professor, KAISTVerified email at kaist.ac.kr
