| Simple and deep graph convolutional networks M Chen, Z Wei, Z Huang, B Ding, Y Li International conference on machine learning, 1725-1735, 2020 | 1856 | 2020 |
| Collecting telemetry data privately B Ding, J Kulkarni, S Yekhanin Advances in Neural Information Processing Systems 30, 2017 | 891 | 2017 |
| Contrastive learning for sequential recommendation X Xie, F Sun, Z Liu, S Wu, J Gao, J Zhang, B Ding, B Cui 2022 IEEE 38th international conference on data engineering (ICDE), 1259-1273, 2022 | 675 | 2022 |
| Finding top-k min-cost connected trees in databases B Ding, JX Yu, S Wang, L Qin, X Zhang, X Lin 2007 IEEE 23rd international conference on data engineering, 836-845, 2006 | 505 | 2006 |
| Swarm: Mining relaxed temporal moving object clusters Z Li, B Ding, J Han, R Kays Proceedings of the VLDB Endowment 3 (1-2), 723-734, 2010 | 483 | 2010 |
| Mining periodic behaviors for moving objects Z Li, B Ding, J Han, R Kays, P Nye Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 384 | 2010 |
| Finding time-dependent shortest paths over large graphs B Ding, JX Yu, L Qin Proceedings of the 11th international conference on Extending database …, 2008 | 356 | 2008 |
| Online mobile micro-task allocation in spatial crowdsourcing Y Tong, J She, B Ding, L Wang, L Chen 2016 IEEE 32Nd international conference on data engineering (ICDE), 49-60, 2016 | 353 | 2016 |
| Towards universal sequence representation learning for recommender systems Y Hou, S Mu, WX Zhao, Y Li, B Ding, JR Wen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 259 | 2022 |
| Blowfish privacy: Tuning privacy-utility trade-offs using policies X He, A Machanavajjhala, B Ding Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 251 | 2014 |
| Fast graph pattern matching J Cheng, JX Yu, B Ding, SY Philip, H Wang 2008 IEEE 24th international conference on data engineering, 913-922, 2008 | 224 | 2008 |
| Approximate query processing: No silver bullet S Chaudhuri, B Ding, S Kandula Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 220 | 2017 |
| Online minimum matching in real-time spatial data: experiments and analysis Y Tong, J She, B Ding, L Chen, T Wo, K Xu Proceedings of the VLDB Endowment 9 (12), 1053-1064, 2016 | 211 | 2016 |
| Distance-constraint reachability computation in uncertain graphs R Jin, L Liu, B Ding, H Wang Proceedings of the VLDB Endowment 4 (9), 551-562, 2011 | 207 | 2011 |
| Text-to-sql empowered by large language models: A benchmark evaluation D Gao, H Wang, Y Li, X Sun, Y Qian, B Ding, J Zhou arXiv preprint arXiv:2308.15363, 2023 | 202 | 2023 |
| Differentially private data cubes: optimizing noise sources and consistency B Ding, M Winslett, J Han, Z Li Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 202 | 2011 |
| Movemine: Mining moving object data for discovery of animal movement patterns Z Li, J Han, M Ji, LA Tang, Y Yu, B Ding, JG Lee, R Kays ACM Transactions on Intelligent Systems and Technology (TIST) 2 (4), 1-32, 2011 | 187 | 2011 |
| Quickr: Lazily approximating complex adhoc queries in bigdata clusters S Kandula, A Shanbhag, A Vitorovic, M Olma, R Grandl, S Chaudhuri, ... Proceedings of the 2016 international conference on management of data, 631-646, 2016 | 179 | 2016 |
| Text cube: Computing ir measures for multidimensional text database analysis CX Lin, B Ding, J Han, F Zhu, B Zhao 2008 eighth ieee international conference on data mining, 905-910, 2008 | 167 | 2008 |
| Classifying data streams with skewed class distributions and concept drifts J Gao, B Ding, W Fan, J Han, SY Philip IEEE Internet Computing 12 (6), 37-49, 2008 | 166 | 2008 |
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