Sen Wu

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	Total	Desde 2019
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Christopher RéComputer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Tang JieWeBank Chair Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Alex RatnerAssistant Professor, University of WashingtonDirección de correo verificada de cs.washington.edu
Christopher De SaAssistant Professor of Computer Science, Cornell UniversityDirección de correo verificada de cs.cornell.edu
Ce ZhangTogether AI; University of ChicagoDirección de correo verificada de together.xyz
Jason Alan FriesStanford UniversityDirección de correo verificada de stanford.edu
Jaeho ShinEvidently, Inc.Dirección de correo verificada de cs.stanford.edu
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityDirección de correo verificada de cs.brown.edu
Hongyang R. ZhangAssistant Professor, Computer Science, Northeastern UniversityDirección de correo verificada de northeastern.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Philip LevisProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Luke W. HsiaoNumbers StationDirección de correo verificada de cs.stanford.edu
Peiyun HuApple IncDirección de correo verificada de apple.com
Jia Jia (贾珈)Professor, 清华大学(Tsinghua University)Dirección de correo verificada de tsinghua.edu.cn
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameDirección de correo verificada de nd.edu
Yuxiao DongCS, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Theodoros RekatsinasAppleDirección de correo verificada de inf.ethz.ch
Tiancheng LouGoogleDirección de correo verificada de google.com
Jon KleinbergProfessor of Computer Science, Cornell UniversityDirección de correo verificada de cs.cornell.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityDirección de correo verificada de stanford.edu

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Sen Wu

Computer Science, Stanford University

Dirección de correo verificada de cs.stanford.edu - Página principal

Machine Learning Machine Learning Systems


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1068	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	882	2016
Cross-domain collaboration recommendation J Tang, S Wu, J Sun, H Su Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	401	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	360	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	318	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	312	2015
Understanding and Improving Information Transfer in Multi-Task Learning S Wu, HR Zhang, C Ré arXiv preprint arXiv:2005.00944, 2020	191	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	183	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	159	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	120	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	118	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	117	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	106	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	97	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	85	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	84	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	73*	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	57	2020

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