| Webtables: exploring the power of tables on the web MJ Cafarella, A Halevy, DZ Wang, E Wu, Y Zhang Proceedings of the VLDB Endowment 1 (1), 538-549, 2008 | 799 | 2008 |
| The MADlib analytics library: or MAD skills, the SQL JM Hellerstein, C Ré, F Schoppmann, DZ Wang, E Fratkin, A Gorajek, ... Proceedings of the VLDB Endowment 5 (12), 1700-1711, 2012 | 448 | 2012 |
| Uncovering the Relational Web. MJ Cafarella, AY Halevy, Y Zhang, DZ Wang, E Wu WebDB, 2008 | 202 | 2008 |
| BayesStore: managing large, uncertain data repositories with probabilistic graphical models DZ Wang, E Michelakis, M Garofalakis, JM Hellerstein Proceedings of the VLDB Endowment 1 (1), 340-351, 2008 | 183 | 2008 |
| MySurgeryRisk: development and validation of a machine-learning risk algorithm for major complications and death after surgery A Bihorac, T Ozrazgat-Baslanti, A Ebadi, A Motaei, M Madkour, ... Annals of surgery 269 (4), 652, 2019 | 142 | 2019 |
| Knowledge expansion over probabilistic knowledge bases Y Chen, DZ Wang Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 81 | 2014 |
| DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs A Sadeghian, M Armandpour, P Ding, DZ Wang Advances in Neural Information Processing Systems, 15321-15331, 2019 | 74 | 2019 |
| Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases Y Chen, S Goldberg, DZ Wang, SS Johri ACM SIGMOD, 2016 | 71* | 2016 |
| Functional Dependency Generation and Applications in Pay-As-You-Go Data Integration Systems. DZ Wang, XL Dong, AD Sarma, MJ Franklin, AY Halevy WebDB, 2009 | 62 | 2009 |
| Ten years of webtables M Cafarella, A Halevy, H Lee, J Madhavan, C Yu, DZ Wang, E Wu Proceedings of the VLDB Endowment 11 (12), 2140-2149, 2018 | 57 | 2018 |
| Hybrid in-database inference for declarative information extraction DZ Wang, MJ Franklin, M Garofalakis, JM Hellerstein, ML Wick Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 43 | 2011 |
| Probabilistic Data Management for Pervasive Computing: The Data Furnace Project. MN Garofalakis, KP Brown, MJ Franklin, JM Hellerstein, DZ Wang, ... IEEE Data Eng. Bull. 29 (1), 57-63, 2006 | 43 | 2006 |
| Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: A pilot usability study M Brennan, S Puri, T Ozrazgat-Baslanti, Z Feng, M Ruppert, ... Surgery 165 (5), 1035-1045, 2019 | 42 | 2019 |
| ScaLeKB: scalable learning and inference over large knowledge bases Y Chen, DZ Wang, S Goldberg The VLDB Journal 25 (6), 893-918, 2016 | 39 | 2016 |
| Querying probabilistic information extraction DZ Wang, MJ Franklin, M Garofalakis, JM Hellerstein Proceedings of the VLDB Endowment 3 (1-2), 1057-1067, 2010 | 36 | 2010 |
| A data science challenge for converting airborne remote sensing data into ecological information S Marconi, SJ Graves, D Gong, MS Nia, M Le Bras, BJ Dorr, P Fontana, ... PeerJ 6, e5843, 2019 | 29 | 2019 |
| Automatic knowledge base construction using probabilistic extraction, deductive reasoning, and human feedback DZ Wang, Y Chen, S Goldberg, C Grant, K Li Proceedings of the Joint Workshop on Automatic Knowledge Base Construction …, 2012 | 27 | 2012 |
| Probabilistic declarative information extraction DZ Wang, E Michelakis, MJ Franklin, M Garofalakis, JM Hellerstein 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 173-176, 2010 | 25 | 2010 |
| Automatic semantic edge labeling over legal citation graphs A Sadeghian, L Sundaram, DZ Wang, WF Hamilton, K Branting, C Pfeifer Artificial Intelligence and Law 26 (2), 127-144, 2018 | 18 | 2018 |
| Semantic edge labeling over legal citation graphs A Sadeghian, L Sundaram, D Wang, W Hamilton, K Branting, C Pfeifer Proceedings of the workshop on legal text, document, and corpus analytics …, 2016 | 16 | 2016 |
Joseph HellersteinJim Gray Professor of Computer Science, UC BerkeleyVerified email at berkeley.edu
