| Data Programming: Creating Large Training Sets, Quickly AJ Ratner, CM De Sa, S Wu, D Selsam, C Ré Advances in Neural Information Processing Systems, 3567-3575, 2016 | 286 | 2016 |
| Cross-domain collaboration recommendation J Tang, S Wu, J Sun, H Su Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 271 | 2012 |
| Snorkel: Rapid training data creation with weak supervision A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré Proceedings of the VLDB Endowment 11 (3), 269-282, 2017 | 243 | 2017 |
| Link prediction and recommendation across heterogeneous social networks Y Dong, J Tang, S Wu, J Tian, NV Chawla, J Rao, H Cao 2012 IEEE 12th International Conference on Data Mining, 181-190, 2012 | 231 | 2012 |
| Incremental knowledge base construction using deepdive J Shin, S Wu, F Wang, C De Sa, C Zhang, C Ré Proceedings of the VLDB Endowment International Conference on Very Large …, 2015 | 207 | 2015 |
| Confluence: Conformity influence in large social networks J Tang, S Wu, J Sun Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 127 | 2013 |
| Can we understand van gogh's mood?: learning to infer affects from images in social networks J Jia, S Wu, X Wang, P Hu, L Cai, J Tang Proceedings of the 20th ACM international conference on Multimedia, 857-860, 2012 | 117 | 2012 |
| Patent partner recommendation in enterprise social networks S Wu, J Sun, J Tang Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 67 | 2013 |
| DeepDive: Declarative Knowledge Base Construction C De Sa, A Ratner, C Ré, J Shin, F Wang, S Wu, C Zhang ACM SIGMOD Record 45 (1), 60-67, 2016 | 56 | 2016 |
| Mining Triadic Closure Patterns in Social Networks H Huang, J Tang, S Wu, L Liu, X Fu Proceedings of the companion publication of the 23rd international …, 2014 | 56 | 2014 |
| Stanford’s distantly supervised slot filling systems for KBP 2014 G Angeli, S Gupta, MJ Premkumar, CD Manning, C Ré, J Tibshirani, ... Text Analysis Conference (TAC) Proceedings, 2014 | 53* | 2014 |
| Fonduer: Knowledge base construction from richly formatted data S Wu, L Hsiao, X Cheng, B Hancock, T Rekatsinas, P Levis, C Ré Proceedings of the 2018 International Conference on Management of Data, 1301 …, 2018 | 47 | 2018 |
| Transfer Learning to Infer Social Ties across Heterogeneous Networks J Tang, T Lou, J Kleinberg, S Wu ACM Transactions on Information Systems (TOIS) 34 (2), 7, 2016 | 45* | 2016 |
| Feature engineering for knowledge base construction C Ré, AA Sadeghian, Z Shan, J Shin, F Wang, S Wu, C Zhang IEEE Data Eng. Bull, 2014 | 41 | 2014 |
| DeepDive: declarative knowledge base construction C Zhang, C Ré, M Cafarella, C De Sa, A Ratner, J Shin, F Wang, S Wu Communications of the ACM 60 (5), 93-102, 2017 | 38 | 2017 |
| Snorkel: rapid training data creation with weak supervision A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré The VLDB Journal 29 (2), 709-730, 2020 | 29 | 2020 |
| SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data J Fries, S Wu, A Ratner, C Ré arXiv preprint arXiv:1704.06360, 2017 | 27 | 2017 |
| Understanding the emotional impact of images X Wang, J Jia, P Hu, S Wu, J Tang, L Cai Proceedings of the 20th ACM international conference on Multimedia, 1369-1370, 2012 | 21 | 2012 |
| Inferring Geographic Coincidence in Ephemeral Social Networks H Zhuang, A Chin, S Wu, W Wang, X Wang, J Tang Machine Learning and Knowledge Discovery in Databases, 613-628, 2012 | 20 | 2012 |
| Topic-level social network search J Tang, S Wu, B Gao, Y Wan Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 18 | 2011 |
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
