| Anomaly detection on industrial time series based on correlation analysis 丁小欧， 于晟健， 王沐贤， 王宏志， 高宏， 杨东华 Journal of Software 31 (3), 726-747, 2020 | 38 | 2020 |
| Association relationships study of multi-dimensional data quality 丁小欧， 王宏志， 张笑影， 李建中， 高宏 Journal of software 27 (7), 1626-1644, 2016 | 38 | 2016 |
| Cleanits: a data cleaning system for industrial time series X Ding, H Wang, J Su, Z Li, J Li, H Gao Proceedings of the VLDB Endowment 12 (12), 1786-1789, 2019 | 35 | 2019 |
| A fair data market system with data quality evaluation and repairing recommendation X Ding, H Wang, D Zhang, J Li, H Gao Web Technologies and Applications: 17th Asia-Pacific Web Conference, APWeb …, 2015 | 17 | 2015 |
| Industrial time series determinative anomaly detection based on constraint hypergraph Z Liang, H Wang, X Ding, T Mu Knowledge-Based Systems 233, 107548, 2021 | 16 | 2021 |
| Efficient currency determination algorithms for dynamic data X Ding, H Wang, Y Gao, J Li, H Gao Tsinghua Science and Technology 22 (3), 227-242, 2017 | 14 | 2017 |
| IoT data cleaning techniques: A survey X Ding, H Wang, G Li, H Li, Y Li, Y Liu Intelligent and Converged Networks 3 (4), 325-339, 2022 | 12 | 2022 |
| Leveraging currency for repairing inconsistent and incomplete data X Ding, H Wang, J Su, M Wang, J Li, H Gao IEEE Transactions on Knowledge and Data Engineering 34 (3), 1288-1302, 2020 | 12 | 2020 |
| Rule-based entity resolution on database with hidden temporal information H Wang, X Ding, J Li, H Gao IEEE Transactions on Knowledge and Data Engineering 30 (11), 2199-2212, 2018 | 11 | 2018 |
| An effective constraint-based anomaly detection approach on multivariate time series Z Li, X Ding, H Wang Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2020 | 8 | 2020 |
| Jiaxuan Su, Zijue Li, Jianzhong Li, and Hong Gao. 2019 X Ding, H Wang Cleanits: A data cleaning system for industrial time series. PVLDB 12 (12 …, 2019 | 6 | 2019 |
| Determining the currency of dynamic data X Ding, H Wang, Y Gao, J Li, H Gao Proceedings of the ACM Turing 50th Celebration Conference-China, 1-6, 2017 | 5 | 2017 |
| Cleanits-MEDetect: multiple errors detection for time series data in cleanits X Ding, Y Song, H Wang, D Yang, Y Liu International Conference on Database Systems for Advanced Applications, 674-678, 2023 | 3 | 2023 |
| Time Series Data Quality Rules Discovery with Both Row and Column Dependencies 丁小欧， 李映泽， 王晨， 王宏志， 李昊轩 Journal of Software 34 (3), 1065-1086, 2022 | 3 | 2022 |
| Correlation-based method for tracing multi-dimensional time series data anomalies W Muxian, D Xiaoou, W Hongzhi, LI Jianzhong Journal of Frontiers of Computer Science & Technology 15 (11), 2142, 2021 | 3 | 2021 |
| Improve3c: Data cleaning on consistency and completeness with currency X Ding, H Wang, J Su, J Li, H Gao arXiv preprint arXiv:1808.00024, 2018 | 3 | 2018 |
| TSDDISCOVER: Discovering Data Dependency for Time Series Data X Ding, Y Li, H Wang, C Wang, Y Liu, J Wang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 3668-3681, 2024 | 2 | 2024 |
| Industrial time series big data quality management X Ding, H Wang, S Yu Big Data (6), 19-29, 2019 | 2 | 2019 |
| On the fairness of quality-based data markets D Zhang, H Wang, X Ding, Y Zhang, J Li, H Gao arXiv preprint arXiv:1808.01624, 2018 | 2 | 2018 |
| CleanCloud: cleaning big data on cloud H Wang, X Ding, X Chen, J Li, H Gao Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 2 | 2017 |
