Generative semi-supervised learning for multivariate time series imputation X Miao, Y Wu, J Wang, Y Gao, X Mao, J Yin Proceedings of the AAAI conference on artificial intelligence 35 (10), 8983-8991, 2021 | 100 | 2021 |
Top-k Dominating Queries on Incomplete Data X Miao, Y Gao, B Zheng, G Chen, H Cui IEEE Transactions on Knowledge and Data Engineering 28 (1), 252-266, 2015 | 63 | 2015 |
Real-time distributed co-movement pattern detection on streaming trajectories L Chen, Y Gao, Z Fang, X Miao, CS Jensen, C Guo Proceedings of the VLDB Endowment 12 (10), 1208-1220, 2019 | 53 | 2019 |
Processing k-skyband, constrained skyline, and group-by skyline queries on incomplete data Y Gao, X Miao, H Cui, G Chen, Q Li Expert Systems with Applications 41 (10), 4959-4974, 2014 | 51 | 2014 |
Incomplete data management: a survey X Miao, Y Gao, S Guo, W Liu Frontiers of Computer Science 12, 4-25, 2018 | 38 | 2018 |
Processing Incomplete k Nearest Neighbor Search X Miao, Y Gao, G Chen, B Zheng, H Cui IEEE Transactions on Fuzzy Systems 24 (6), 1349-1363, 2016 | 36 | 2016 |
Continuous range-based skyline queries in road networks X Fu, X Miao, J Xu, Y Gao World Wide Web 20, 1443-1467, 2017 | 32 | 2017 |
Indexing metric spaces for exact similarity search L Chen, Y Gao, X Song, Z Li, Y Zhu, X Miao, CS Jensen ACM Computing Surveys 55 (6), 1-39, 2022 | 31 | 2022 |
A hybrid data cleaning framework using markov logic networks C Ge, Y Gao, X Miao, B Yao, H Wang IEEE Transactions on Knowledge and Data Engineering 34 (5), 2048-2062, 2020 | 27 | 2020 |
K-dominant skyline queries on incomplete data X Miao, Y Gao, G Chen, T Zhang Information Sciences 367, 990-1011, 2016 | 26 | 2016 |
On efficiently finding reverse k-nearest neighbors over uncertain graphs Y Gao, X Miao, G Chen, B Zheng, D Cai, H Cui The VLDB journal 26 (4), 467-492, 2017 | 25 | 2017 |
An experimental survey of missing data imputation algorithms X Miao, Y Wu, L Chen, Y Gao, J Yin IEEE Transactions on Knowledge and Data Engineering, 2022 | 24 | 2022 |
On efficient k-skyband query processing over incomplete data X Miao, Y Gao, L Chen, G Chen, Q Li, T Jiang Database Systems for Advanced Applications: 18th International Conference …, 2013 | 24 | 2013 |
On efficiently answering why-not range-based skyline queries in road networks X Miao, Y Gao, S Guo, G Chen IEEE Transactions on Knowledge and Data Engineering 30 (9), 1697-1711, 2018 | 21 | 2018 |
Reverse k-nearest neighbor search in the presence of obstacles Y Gao, Q Liu, X Miao, J Yang Information Sciences 330, 274-292, 2016 | 21 | 2016 |
Answering skyline queries over incomplete data with crowdsourcing X Miao, Y Gao, S Guo, L Chen, J Yin, Q Li IEEE Transactions on Knowledge and Data Engineering 33 (4), 1360-1374, 2019 | 20 | 2019 |
Si2p a restaurant recommendation system using preference queries over incomplete information X Miao, Y Gao, G Chen, H Cui, C Guo, W Pan Proceedings of the VLDB Endowment 9 (13), 1509-1512, 2016 | 20 | 2016 |
Efficient and effective data imputation with influence functions X Miao, Y Wu, L Chen, Y Gao, J Wang, J Yin Proceedings of the VLDB Endowment 15 (3), 624-632, 2021 | 18 | 2021 |
Towards query pricing on incomplete data X Miao, Y Gao, L Chen, H Peng, J Yin, Q Li IEEE Transactions on Knowledge and Data Engineering 34 (8), 4024-4036, 2020 | 18 | 2020 |
Coming: A real-time co-movement mining system for streaming trajectories Z Fang, Y Gao, L Pan, L Chen, X Miao, CS Jensen Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 18 | 2020 |