| Probase: A probabilistic taxonomy for text understanding W Wu, H Li, H Wang, KQ Zhu Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012 | 1007 | 2012 |
| Predicting Query Execution Time: Are Optimizer Cost Models Really Unusable? W Wu, Y Chi, S Zhu, J Tatemura, H Hacıgümüs, JF Naughton Proceedings of the 29th International Conference on Data Engineering (ICDE'13), 2013 | 254* | 2013 |
| Towards predicting query execution time for concurrent and dynamic database workloads W Wu, Y Chi, H Hacígümüş, JF Naughton Proceedings of the VLDB Endowment 6 (10), 925-936, 2013 | 143* | 2013 |
| K-symmetry model for identity anonymization in social networks W Wu, Y Xiao, W Wang, Z He, Z Wang Proceedings of the 13th international conference on extending database …, 2010 | 129 | 2010 |
| Ai meets ai: Leveraging query executions to improve index recommendations B Ding, S Das, R Marcus, W Wu, S Chaudhuri, VR Narasayya Proceedings of the 2019 International Conference on Management of Data, 1241 …, 2019 | 101 | 2019 |
| Ease. ml: Towards multi-tenant resource sharing for machine learning workloads T Li, J Zhong, J Liu, W Wu, C Zhang Proceedings of the VLDB Endowment 11 (5), 607-620, 2018 | 88 | 2018 |
| Efficiently indexing shortest paths by exploiting symmetry in graphs Y Xiao, W Wu, J Pei, W Wang, Z He Proceedings of the 12th International Conference on Extending Database …, 2009 | 88 | 2009 |
| Towards demystifying serverless machine learning training J Jiang, S Gan, Y Liu, F Wang, G Alonso, A Klimovic, A Singla, W Wu, ... Proceedings of the 2021 International Conference on Management of Data, 857-871, 2021 | 83 | 2021 |
| Sampling-Based Query Re-Optimization W Wu, JF Naughton, H Singh Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2016 | 80 | 2016 |
| Symmetry-based structure entropy of complex networks YH Xiao, WT Wu, H Wang, M Xiong, W Wang Physica A: Statistical Mechanics and its Applications 387 (11), 2611-2619, 2008 | 69 | 2008 |
| Mlog: Towards declarative in-database machine learning X Li, B Cui, Y Chen, W Wu, C Zhang Proceedings of the VLDB Endowment 10 (12), 1933-1936, 2017 | 64 | 2017 |
| A Data Quality-Driven View of MLOps CZ Cedric Renggli, Luka Rimanic, Nezihe Merve Gurel, Bojan Karlas, Wentao Wu IEEE Data Engineering Bulletin 44 (1), 11-23, 2021 | 59* | 2021 |
| Openbox: A generalized black-box optimization service Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 57 | 2021 |
| Semantic bootstrapping: A theoretical perspective W Wu, H Li, H Wang, KQ Zhu IEEE Transactions on Knowledge and Data Engineering 29 (2), 446-457, 2016 | 55* | 2016 |
| Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML. NET Pipelines F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ... ACM SIGMOD Record 51 (2), 30-37, 2022 | 44* | 2022 |
| Continuous Integration of Machine Learning Models with ease. ml/ci: Towards a Rigorous Yet Practical Treatment C Renggli, B Karlaš, B Ding, F Liu, K Schawinski, W Wu, C Zhang SysML Conference 2019, 2019 | 43 | 2019 |
| Uncertainty Aware Query Execution Time Prediction W Wu, X Wu, H Hacıgümüş, J Naughton Proceedings of the VLDB Endowment 7 (14), 1857 - 1868, 2014 | 43 | 2014 |
| iMecho: an associative memory based desktop search system J Chen, H Guo, W Wu, W Wang Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 39 | 2009 |
| MLbench: benchmarking machine learning services against human experts Y Liu, H Zhang, L Zeng, W Wu, C Zhang Proceedings of the VLDB Endowment 11 (10), 1220-1232, 2018 | 37* | 2018 |
| Structure-based graph distance measures of high degree of precision Y Xiao, H Dong, W Wu, M Xiong, W Wang, B Shi Pattern Recognition 41 (12), 3547-3561, 2008 | 34 | 2008 |
Ce ZhangTogether AIПотвърден имейл адрес: together.xyz
