Sen Wu

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Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Tang JieProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Alex RatnerAssistant Professor, University of WashingtonVerified email at cs.washington.edu
Ce ZhangETH ZurichVerified email at inf.ethz.ch
Christopher De SaAssistant Professor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Jason Alan FriesStanford UniversityVerified email at stanford.edu
Jaeho ShinEvidently, Inc.Verified email at cs.stanford.edu
Feiran WangStanford UniversityVerified email at stanford.edu
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerified email at cs.brown.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Hongyang R. ZhangComputer Science, Northeastern UniversityVerified email at northeastern.edu
Philip LevisProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Luke W. HsiaoNumbers Station AIVerified email at cs.stanford.edu
Peiyun HuPhD Student, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jia Jia (贾珈)Associate Professor, 清华大学(Tsinghua University)Verified email at tsinghua.edu.cn
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
Yuxiao DongCS, Tsinghua UniversityVerified email at tsinghua.edu.cn
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Gabor AngeliSquareVerified email at cs.stanford.edu
Tiancheng LouGoogleVerified email at google.com

Sen Wu

Computer Science, Stanford University

Verified email at cs.stanford.edu - Homepage

Machine Learning Machine Learning Systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	624	2017
Data programming: Creating large training sets, quickly AJ Ratner, CM De Sa, S Wu, D Selsam, C Ré Advances in neural information processing systems 29, 3567-3575, 2016	534	2016
Cross-domain collaboration recommendation J Tang, S Wu, J Sun, H Su Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	348	2012
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	298	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	266	2015
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	173	2020
Confluence: Conformity influence in large social networks J Tang, S Wu, J Sun Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	158	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	138	2012
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	99	2016
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	86	2013
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	85	2018
Understanding and Improving Information Transfer in Multi-Task Learning S Wu, HR Zhang, C Ré arXiv preprint arXiv:2005.00944, 2020	78	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	73	2017
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	73	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	68	2017
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	58*	2014
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	57*	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	54	2014
Slice-based learning: A programming model for residual learning in critical data slices V Chen, S Wu, AJ Ratner, J Weng, C Ré Advances in Neural Information Processing Systems, 9392-9402, 2019	35	2019
On the generalization effects of linear transformations in data augmentation S Wu, H Zhang, G Valiant, C Ré International Conference on Machine Learning, 10410-10420, 2020	33	2020

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