Wenyi Huang

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C Lee GilesPennsylvania State UniversityDirección de correo verificada de psu.edu
Zhaohui WuPinterestDirección de correo verificada de psu.edu
Chen LiangMetaDirección de correo verificada de meta.com
Dafang HeA.I, Machine Learning, Recommendation System @ PinterestDirección de correo verificada de psu.edu
Daniel KiferPenn State UniversityDirección de correo verificada de cse.psu.edu
Zhiyuan LiuAssociate Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Lior RokachSoftware and Information Systems Engineering, Ben-Gurion University of the NegevDirección de correo verificada de bgu.ac.il
Saurabh KatariaMachine Learning EnthusiastDirección de correo verificada de linkedin.com
Zihan ZhouChief Scientist at Manycore Tech Inc.Dirección de correo verificada de ist.psu.edu
Cornelia CarageaUniversity of Illinois at ChicagoDirección de correo verificada de uic.edu
Kyle WilliamsMicrosoftDirección de correo verificada de microsoft.com
Jian WuAssistant Professor of Computer Science, Old Dominion UniversityDirección de correo verificada de cs.odu.edu
Hung-Hsuan ChenAssociate Professor of National Central UniversityDirección de correo verificada de g.ncu.edu.tw
Ingmar WeberAlexander von Humboldt Professor for AI, Saarland Informatics Campus, Saarland UniversityDirección de correo verificada de acm.org
Sarah ViewegResearcher at EvenUp LawDirección de correo verificada de evenuplaw.com
Xiao YangPinterestDirección de correo verificada de pinterest.com

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Wenyi Huang

AI & Quantitative Researcher, Citadel LLC

Dirección de correo verificada de citadel.com

Deep Learning Machine Learning Information Retrieval Natural Language Processing Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Automatic keyphrase extraction via topic decomposition Z Liu, W Huang, Y Zheng, M Sun Proceedings of the 2010 conference on empirical methods in natural language …, 2010	514	2010
MtNet: a multi-task neural network for dynamic malware classification W Huang, JW Stokes Detection of Intrusions and Malware, and Vulnerability Assessment: 13th …, 2016	379	2016
A neural probabilistic model for context based citation recommendation W Huang, Z Wu, C Liang, P Mitra, C Giles Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015	211	2015
Recommending citations: translating papers into references W Huang, S Kataria, C Caragea, P Mitra, CL Giles, L Rokach Proceedings of the 21st ACM international conference on Information and …, 2012	176	2012
Measuring prerequisite relations among concepts C Liang, Z Wu, W Huang, CL Giles Proceedings of the 2015 conference on empirical methods in natural language …, 2015	148	2015
Refseer: A citation recommendation system W Huang, Z Wu, P Mitra, CL Giles IEEE/ACM joint conference on digital libraries, 371-374, 2014	95	2014
GeoTxt: a web API to leverage place references in text M Karimzadeh, W Huang, S Banerjee, JO Wallgrün, F Hardisty, ... Proceedings of the 7th workshop on geographic information retrieval, 72-73, 2013	75	2013
Towards building a scholarly big data platform: Challenges, lessons and opportunities Z Wu, J Wu, M Khabsa, K Williams, HH Chen, W Huang, S Tuarob, ... IEEE/ACM Joint Conference on Digital Libraries, 117-126, 2014	72	2014
Inferring nationalities of twitter users and studying inter-national linking W Huang, I Weber, S Vieweg Proceedings of the 25th ACM conference on Hypertext and social media, 237-242, 2014	51	2014
A supervised learning method for context-aware citation recommendation in a large corpus L Rokach, P Mitra, S Kataria, W Huang, L Giles Proceedings of the 10th workshop on Large-scale and distributed …, 2013	38*	2013
Smart library X Yang, D He, W Huang, A Ororbia, Z Zhou, D Kifer, CL Giles Identifying books on library shelves using supervised deep learning for …, 2017	35	2017
Smart library: Identifying books on library shelves using supervised deep learning for scene text reading X Yang, D He, W Huang, A Ororbia, Z Zhou, D Kifer, CL Giles 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 1-4, 2017	34	2017
Aggregating local context for accurate scene text detection D He, X Yang, W Huang, Z Zhou, D Kifer, CL Giles Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017	22	2017
Detecting arbitrary oriented text in the wild with a visual attention model W Huang, D He, X Yang, Z Zhou, D Kifer, CL Giles Proceedings of the 24th ACM international conference on Multimedia, 551-555, 2016	18	2016
Crowd-sourcing Web knowledge for metadata extraction Z Wu, W Huang, C Liang, CL Giles IEEE/ACM Joint Conference on Digital Libraries, 141-144, 2014	4	2014
Context modeling for semantic text matching and scene text detection W Huang The Pennsylvania State University, 2016	1	2016

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