Sen Wu

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Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Tang JieWeBank Chair Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Alex RatnerAssistant Professor, University of WashingtonVerified email at cs.washington.edu
Christopher De SaAssociate Professor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Ce ZhangTogether AI; University of ChicagoVerified email at together.xyz
Jason Alan FriesStanford UniversityVerified email at stanford.edu
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerified email at cs.brown.edu
Jaeho ShinEvidently, Inc.Verified email at cs.stanford.edu
Hongyang R. ZhangComputer Science, Northeastern UniversityVerified email at northeastern.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Philip LevisProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Luke W. HsiaoNumbers StationVerified email at cs.stanford.edu
Peiyun HuApple IncVerified email at apple.com
Jia Jia (贾珈)Professor, 清华大学(Tsinghua University)Verified email at tsinghua.edu.cn
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
Yuxiao DongCS, Tsinghua UniversityVerified email at tsinghua.edu.cn
Theodoros RekatsinasAppleVerified email at inf.ethz.ch
Tiancheng LouGoogleVerified email at google.com
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu

Sen Wu

Computer Science, Stanford University

Verified email at cs.stanford.edu - Homepage

Machine Learning Machine Learning Systems


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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	1097	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	894	2016
Cross-domain collaboration recommendation J Tang, S Wu, J Sun, H Su Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	405	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	362	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 (2-3), 709-730, 2020	328	2020
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	313	2015
Understanding and Improving Information Transfer in Multi-Task Learning S Wu, HR Zhang, C Ré arXiv preprint arXiv:2005.00944, 2020	194	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	188	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	160	2012
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	121	2018
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	119	2017
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	119	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	107	2013
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	98	2017
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	89	2020
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	86	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	74*	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	61	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	60*	2014
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation L Orr, M Leszczynski, S Arora, S Wu, N Guha, X Ling, C Re arXiv preprint arXiv:2010.10363, 2020	58	2020

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