| Wander join: Online aggregation via random walks F Li, B Wu, K Yi, Z Zhao Proceedings of the 2016 International Conference on Management of Data, 615-629, 2016 | 235 | 2016 |
| Deep meta-learning: Learning to learn in the concept space F Zhou, B Wu, Z Li arXiv preprint arXiv:1802.03596, 2018 | 165 | 2018 |
| Correlative multi-label multi-instance image annotation X Xue, W Zhang, J Zhang, B Wu, J Fan, Y Lu 2011 International Conference on Computer Vision, 651-658, 2011 | 104 | 2011 |
| AnalyticDB-V: a hybrid analytical engine towards query fusion for structured and unstructured data C Wei, B Wu, S Wang, R Lou, C Zhan, F Li, Y Cai Proceedings of the VLDB Endowment 13 (12), 3152-3165, 2020 | 74 | 2020 |
| Counting triangles in large graphs by random sampling B Wu, K Yi, Z Li IEEE Transactions on Knowledge and Data Engineering 28 (8), 2013-2026, 2016 | 47 | 2016 |
| Wander join and XDB: online aggregation via random walks F Li, B Wu, K Yi, Z Zhao ACM Transactions on Database Systems (TODS) 44 (1), 1-41, 2019 | 35 | 2019 |
| CatSQL: Towards Real World Natural Language to SQL Applications H Fu, C Liu, B Wu, F Li, J Tan, J Sun Proceedings of the VLDB Endowment 16 (6), 1534-1547, 2023 | 31 | 2023 |
| OneShotSTL: one-shot seasonal-trend decomposition for online time series anomaly detection and forecasting X He, Y Li, J Tan, B Wu, F Li arXiv preprint arXiv:2304.01506, 2023 | 19 | 2023 |
| Wander join and XDB: online aggregation via random walks F Li, B Wu, K Yi, Z Zhao ACM SIGMOD Record 46 (1), 33-40, 2017 | 16 | 2017 |
| Wander join: Online aggregation for joins F Li, B Wu, K Yi, Z Zhao Proceedings of the 2016 International Conference on Management of Data, 2121 …, 2016 | 12 | 2016 |
| Multi-kernel multi-label learning with max-margin concept network W Zhang, X Xue, J Fan, X Huang, B Wu, M Liu Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 12 | 2011 |
| Weighted distinct sampling: Cardinality estimation for SPJ queries Y Qiu, Y Wang, K Yi, F Li, B Wu, C Zhan Proceedings of the 2021 International Conference on Management of Data, 1465 …, 2021 | 10 | 2021 |
| Learning-based query optimization for multi-probe approximate nearest neighbor search P Zhang, B Yao, C Gao, B Wu, X He, F Li, Y Lu, C Zhan, F Tang The VLDB Journal 32 (3), 623-645, 2023 | 8 | 2023 |
| Lindorm TSDB: A Cloud-Native Time-Series Database for Large-Scale Monitoring Systems C Shen, Q Ouyang, F Li, Z Liu, L Zhu, Y Zou, Q Su, T Yu, Y Yi, J Hu, ... Proceedings of the VLDB Endowment 16 (12), 3715-3727, 2023 | 4 | 2023 |
| ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices Y Li, J Tan, B Wu, X He, F Li Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 2 | 2023 |
| Releasing Private Data for Numerical Queries Y Qiu, W Dong, K Yi, B Wu, F Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
| Wander Join F Li, B Wu, K Yi, Z Zhao Proceedings of the 2016 International Conference on Management of Data, 2016 | 2 | 2016 |
| Anser: Adaptive Information Sharing Framework of AnalyticDB L Lin, Y Li, B Wu, H Mai, R Lou, J Tan, F Li Proceedings of the VLDB Endowment 16 (12), 3636-3648, 2023 | 1 | 2023 |
| Cquirrel: continuous query processing over acyclic relational schemas Q Wang, C Zhang, D Alsayed, K Yi, B Wu, F Li, C Zhan Proceedings of the VLDB Endowment 14 (12), 2667-2670, 2021 | 1 | 2021 |
| Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution X He, J Tan, B Wu, F Li, X Zhang, G Liang, J Xu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 816-828, 2023 | | 2023 |
Feifei LiAlibaba Group/Alibaba CloudVerified email at cs.utah.edu
