Enriching data imputation under similarity rule constraints S Song, Y Sun, A Zhang, L Chen, J Wang IEEE transactions on knowledge and data engineering 32 (2), 275-287, 2018 | 62 | 2018 |
Learning individual models for imputation A Zhang, S Song, Y Sun, J Wang 2019 IEEE 35th International Conference on Data Engineering (ICDE), 160-171, 2019 | 44 | 2019 |
Imputing various incomplete attributes via distance likelihood maximization S Song, Y Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 18 | 2020 |
Swapping repair for misplaced attribute values Y Sun, S Song, C Wang, J Wang 2020 IEEE 36th International Conference on Data Engineering (ICDE), 721-732, 2020 | 16 | 2020 |
Confidence bounded replica currency estimation Y Sun, Z Zheng, S Song, F Chiang Proceedings of the 2022 International Conference on Management of Data, 730-743, 2022 | 5 | 2022 |
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training Z Zong, L Lin, L Lin, L Wen, Y Sun IEEE Transactions on Parallel and Distributed Systems 34 (8), 2403-2418, 2023 | 3 | 2023 |
From minimum change to maximum density: On s-repair under integrity constraints Y Sun, S Song 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1943-1948, 2021 | 3 | 2021 |
Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data Y Sun, J Zhu, X Xu, X Xu, Y Sun, S Song, X Li, X Yuan Proceedings of the VLDB Endowment 17 (11), 3045-3057, 2024 | | 2024 |
High Precision≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors J Zhu, Y Sun, S Song, X Yuan Proceedings of the ACM on Management of Data 2 (3), 1-27, 2024 | | 2024 |
From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair Y Sun, S Song, X Yuan IEEE Transactions on Knowledge and Data Engineering, 2023 | | 2023 |