Efficient knowledge graph accuracy evaluation J Gao, X Li, YE Xu, B Sisman, XL Dong, J Yang arXiv preprint arXiv:1907.09657, 2019 | 57 | 2019 |
Durable top-k queries on temporal data J Gao, PK Agarwal, J Yang Proceedings of the VLDB Endowment 11 (13), 2223-2235, 2018 | 21 | 2018 |
Finding diverse, high-value representatives on a surface of answers Y Wu, J Gao, PK Agarwal, J Yang Proceedings of the VLDB Endowment 10 (7), 793-804, 2017 | 17 | 2017 |
ELAN: An efficient location-aware analytics system Y Liu, H Wang, G Li, J Gao, H Hu, WS Li Big Data Research 5, 16-21, 2016 | 15 | 2016 |
Computing complex temporal join queries efficiently X Hu, S Sintos, J Gao, PK Agarwal, J Yang Proceedings of the 2022 International Conference on Management of Data, 2076 …, 2022 | 9 | 2022 |
Durable top-k instant-stamped temporal records with user-specified scoring functions J Gao, S Sintos, PK Agarwal, J Yang 2021 IEEE 37th International Conference on Data Engineering (ICDE), 720-731, 2021 | 8 | 2021 |
Efficiently answering durability prediction queries J Gao, Y Xu, PK Agarwal, J Yang Proceedings of the 2021 International Conference on Management of Data, 591-604, 2021 | 4 | 2021 |
Fact checking congressional voting claims B Walenz, J Gao, E Sonmez, Y Tian, Y Wen, C Xu, B Adair, J Yang Computation+ Journalism Symposium, 2016 | 4 | 2016 |
Efficiently Answering Durability Prediction Queries (Technical Report Version) J Gao, Y Xu, PK Agarwal, J Yang | 1 | 2021 |
Durability Queries on Temporal Data J Gao Duke University, 2020 | 1 | 2020 |
Durable Top-K Instant-Stamped Temporal Records with User-Specified Scoring Functions (Technical Report Version) J Gao, S Sintos, PK Agarwal, J Yang | | |
Efficient Knowledge Graph Accuracy Evaluation (Technical Report Version) J Gao, X Li, YE Xu, B Sisman, XL Dong, J Yang | | |