| Robust factorization of real-world tensor streams with patterns, missing values, and outliers D Lee, K Shin 2021 IEEE 37th International Conference on Data Engineering (ICDE), 840-851, 2021 | 22 | 2021 |
| I’m me, we’re us, and i’m us: Tri-directional contrastive learning on hypergraphs D Lee, K Shin Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8456-8464, 2023 | 15 | 2023 |
| Temporal locality-aware sampling for accurate triangle counting in real graph streams D Lee, K Shin, C Faloutsos The VLDB Journal 29 (6), 1501-1525, 2020 | 15 | 2020 |
| Slicenstitch: Continuous cp decomposition of sparse tensor streams T Kwon, I Park, D Lee, K Shin 2021 IEEE 37th International Conference on Data Engineering (ICDE), 816-827, 2021 | 12 | 2021 |
| Datasets, tasks, and training methods for large-scale hypergraph learning S Kim, D Lee, Y Kim, J Park, T Hwang, K Shin Data Mining and Knowledge Discovery 37 (6), 2216-2254, 2023 | 3 | 2023 |
| Graphlets over Time: A New Lens for Temporal Network Analysis D Yoon, D Lee, M Choe, K Shin arXiv preprint arXiv:2301.00310, 2023 | 3 | 2023 |
| Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs D Lee, J Lee, K Shin Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13374 …, 2024 | 1 | 2024 |
| Data processing method of detecting and recovering missing values, outliers and patterns in tensor stream data C Jeong, D Lee, K Shin US Patent App. 17/672,060, 2022 | | 2022 |
| Continuous CP Decomposition of Sparse Tensor Streams T Kwon, I Park, D Lee, K Shin | | |
Kijung ShinAssociate Professor, KAISTVerified email at kaist.ac.kr
