| 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 | 721 | 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 | 166* | 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 | 105 | 2010 |
| 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 | 102* | 2013 |
| 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 | 82 | 2009 |
| 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 | 51 | 2008 |
| Sampling-Based Query Re-Optimization W Wu, JF Naughton, H Singh Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2016 | 50 | 2016 |
| 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 | 38 | 2018 |
| Towards a probabilistic taxonomy of many concepts W Wu, H Li, H Wang, K Zhu Microsoft Res. Redmond, WA, USA, Tech. Rep. MSR-TR-2011-25, 2011 | 37 | 2011 |
| 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 | 37 | 2009 |
| Uncertainty Aware Query Execution Time Prediction W Wu, X Wu, H Hacıgümüş, J Naughton Proceedings of the VLDB Endowment 7 (14), 1857 - 1868, 2014 | 32 | 2014 |
| 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 | 32 | 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 | 30 | 2017 |
| Personalization as a service: the architecture and a case study H Guo, J Chen, W Wu, W Wang Proceedings of the first international workshop on Cloud data management, 1-8, 2009 | 30 | 2009 |
| 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 | 26 | 2019 |
| Revisiting differentially private regression: Lessons from learning theory and their consequences X Wu, M Fredrikson, W Wu, S Jha, JF Naughton arXiv preprint arXiv:1512.06388, 2015 | 26 | 2015 |
| 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 | 23* | 2018 |
| Search your memory!-an associative memory based desktop search system J Chen, H Guo, W Wu, C Xie Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009 | 20 | 2009 |
| 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 | 18 | 2019 |
| Efficient algorithms for node disjoint subgraph homeomorphism determination Y Xiao, W Wu, W Wang, Z He International Conference on Database Systems for Advanced Applications, 452-460, 2008 | 17 | 2008 |
Ce ZhangETH ZurichVerified email at inf.ethz.ch
