| Aligraph: A comprehensive graph neural network platform R Zhu, K Zhao, H Yang, W Lin, C Zhou, B Ai, Y Li, J Zhou arXiv preprint arXiv:1902.08730, 2019 | 347 | 2019 |
| Cardinality estimation in dbms: A comprehensive benchmark evaluation Y Han, Z Wu, P Wu, R Zhu, J Yang, LW Tan, K Zeng, G Cong, Y Qin, ... arXiv preprint arXiv:2109.05877, 2021 | 122 | 2021 |
| FLAT: fast, lightweight and accurate method for cardinality estimation R Zhu, Z Wu, Y Han, K Zeng, A Pfadler, Z Qian, J Zhou, B Cui arXiv preprint arXiv:2011.09022, 2020 | 105 | 2020 |
| GraphScope: a unified engine for big graph processing W Fan, T He, L Lai, X Li, Y Li, Z Li, Z Qian, C Tian, L Wang, J Xu, Y Yao, ... Proceedings of the VLDB Endowment 14 (12), 2879-2892, 2021 | 63 | 2021 |
| Bayescard: Revitilizing bayesian frameworks for cardinality estimation Z Wu, A Shaikhha, R Zhu, K Zeng, Y Han, J Zhou arXiv preprint arXiv:2012.14743, 2020 | 53 | 2020 |
| Lero: A learning-to-rank query optimizer R Zhu, W Chen, B Ding, X Chen, A Pfadler, Z Wu, J Zhou arXiv preprint arXiv:2302.06873, 2023 | 51 | 2023 |
| Diversified coherent core search on multi-layer graphs R Zhu, Z Zou, J Li 2018 IEEE 34th International Conference on Data Engineering (ICDE), 701-712, 2018 | 39 | 2018 |
| A unified transferable model for ml-enhanced dbms Z Wu, P Yu, P Yang, R Zhu, Y Han, Y Li, D Lian, K Zeng, J Zhou arXiv preprint arXiv:2105.02418, 2021 | 37 | 2021 |
| Truss decomposition of uncertain graphs Z Zou, R Zhu Knowledge and Information Systems 50, 197-230, 2017 | 37 | 2017 |
| Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework Z Hu, Z Zhang, H Yang, Q Chen, R Zhu, D Zuo Neurocomputing 275, 2769-2782, 2018 | 25 | 2018 |
| Constrained truth discovery C Ye, H Wang, K Zheng, YK Kong, R Zhu, J Gao, J Li IEEE Transactions on Knowledge and Data Engineering 34 (1), 205-218, 2020 | 20 | 2020 |
| SimRank computation on uncertain graphs R Zhu, Z Zou, J Li 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 565-576, 2016 | 20 | 2016 |
| Efficient and scalable structure learning for Bayesian networks: Algorithms and applications R Zhu, A Pfadler, Z Wu, Y Han, X Yang, F Ye, Z Qian, J Zhou, B Cui 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2613-2624, 2021 | 19 | 2021 |
| Fast rectangle counting on massive networks R Zhu, Z Zou, J Li 2018 IEEE International Conference on Data Mining (ICDM), 847-856, 2018 | 18 | 2018 |
| DILI: A distribution-driven learned index P Li, H Lu, R Zhu, B Ding, L Yang, G Pan Proceedings of the VLDB Endowment 16 (9), 2212-2224, 2023 | 17 | 2023 |
| Learned Query Optimizer: At the Forefront of AI-Driven Databases. R Zhu, Z Wu, C Chai, A Pfadler, B Ding, G Li, J Zhou EDBT, 1-4, 2022 | 16 | 2022 |
| Top-k reliability search on uncertain graphs R Zhu, Z Zou, J Li 2015 IEEE International Conference on Data Mining, 659-668, 2015 | 16 | 2015 |
| ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended) P Li, W Wei, R Zhu, B Ding, J Zhou, H Lu arXiv preprint arXiv:2310.05349, 2023 | 14 | 2023 |
| Pilotscope: Steering databases with machine learning drivers R Zhu, L Weng, W Wei, D Wu, J Peng, Y Wang, B Ding, D Lian, B Zheng, ... Proceedings of the VLDB Endowment 17 (5), 980-993, 2024 | 12 | 2024 |
| FSPN: a new class of probabilistic graphical model Z Wu, R Zhu, A Pfadler, Y Han, J Li, Z Qian, K Zeng, J Zhou arXiv preprint arXiv:2011.09020, 2020 | 11 | 2020 |
Jingren ZhouAlibaba Group, MicrosoftVahvistettu sähköpostiosoite verkkotunnuksessa alibaba-inc.com