| Time series data imputation: A survey on deep learning approaches C Fang, C Wang arXiv preprint arXiv:2011.11347, 2020 | 51 | 2020 |
| Capturing semantics for imputation with pre-trained language models Y Mei, S Song, C Fang, H Yang, J Fang, J Long 2021 IEEE 37th International Conference on Data Engineering (ICDE), 61-72, 2021 | 16 | 2021 |
| Fine-grained fuel consumption prediction C Fang, S Song, Z Chen, A Gui Proceedings of the 28th ACM International Conference on Information and …, 2019 | 13 | 2019 |
| On repairing timestamps for regular interval time series C Fang, S Song, Y Mei Proceedings of the VLDB Endowment 15 (9), 1848-1860, 2022 | 10 | 2022 |
| Grouping time series for efficient columnar storage C Fang, S Song, H Guan, X Huang, C Wang, J Wang Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | 2 | 2023 |
| Discovering editing rules by deep reinforcement learning Y Mei, S Song, C Fang, Z Wei, J Fang, J Long 2023 IEEE 39th International Conference on Data Engineering (ICDE), 355-367, 2023 | 2 | 2023 |
| On aligning tuples for regression C Fang, S Song, Y Mei, Y Yuan, J Wang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
| TsQuality: Measuring Time Series Data Quality in Apache IoTDB Y Qiu, C Fang, S Song, X Huang, C Wang, J Wang Proceedings of the VLDB Endowment 16 (12), 3982-3985, 2023 | | 2023 |
| Matrix Factorization with Landmarks for Spatial Data C Fang, Y Mei, S Song 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1887-1899, 2023 | | 2023 |
