Sen Wu

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Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Tang JieProfessor of Data Mining, 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
Jaeho ShinApple Inc.Verified email at cs.stanford.edu
Feiran WangStanford UniversityVerified email at stanford.edu
Jason Alan FriesStanford UniversityVerified email at stanford.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerified email at cs.brown.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
Philip LevisProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Luke W. HsiaoPhD Candidate at Stanford UniversityVerified email at cs.stanford.edu
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
Yuxiao DongMicrosoft ResearchVerified email at microsoft.com
Hongyang R. ZhangAssistant Professor of Computer Science, Northeastern UniversityVerified email at northeastern.edu
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	402	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	390	2016
Cross-domain collaboration recommendation J Tang, S Wu, J Sun, H Su Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	310	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	262	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	233	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	145	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	127	2012
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	92	2020
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	78	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	76	2016
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	66	2018
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	64	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	59*	2014
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	52	2017
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	51	2017
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	50*	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	48	2014
Understanding and Improving Information Transfer in Multi-Task Learning S Wu, HR Zhang, C Ré arXiv preprint arXiv:2005.00944, 2020	35	2020
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	24	2019
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	22	2012

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