| Learning to remember patterns: pattern matching memory networks for traffic forecasting H Lee, S Jin, H Chu, H Lim, S Ko International Conference on Learning Representations, 2022 | 24 | 2022 |
| An empirical study on how people perceive AI-generated music H Chu, J Kim, S Kim, H Lim, H Lee, S Jin, J Lee, T Kim, S Ko Proceedings of the 31st ACM International Conference on Information …, 2022 | 11 | 2022 |
| An empirical experiment on deep learning models for predicting traffic data H Lee, C Park, S Jin, H Chu, J Choo, S Ko 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1817-1822, 2021 | 9 | 2021 |
| A visual analytics system for improving attention-based traffic forecasting models S Jin, H Lee, C Park, H Chu, Y Tae, J Choo, S Ko IEEE transactions on visualization and computer graphics 29 (1), 1102-1112, 2022 | 8 | 2022 |
| CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering H Jeon, GJ Quadri, H Lee, P Rosen, DA Szafir, J Seo IEEE Transactions on Visualization and Computer Graphics, 2023 | 5 | 2023 |
| Wait, let’s think about your purchase again: A study on interventions for supporting self-controlled online purchases Y Han, H Kim, H Chu, J Kim, H Lee, S Choe, D Jung, D Chung, BC Kwon, ... Proceedings of the Web Conference 2021, 2476-2487, 2021 | 2 | 2021 |
| TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting H Lee, C Lee, H Lim, S Ko arXiv preprint arXiv:2210.15050, 2022 | 1 | 2022 |
| TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts H Lee, S Ko International Conference on Learning Representations, 2024 | | 2024 |
Sungahn KoUNIST (Ulsan National Institute of Science and Technology)Verified email at unist.ac.kr
