Eric Xing - Google Scholar Citations

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	All	Since 2014
Citations	26540	18205
h-index	79	67
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Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Michael I. JordanProfessor of EECS and Professor of Statistics, University of California, BerkeleyVerified email at cs.berkeley.edu
Mladen KolarThe University of Chicago, Booth School of BusinessVerified email at cs.cmu.edu
Garth Alan GibsonProfessor of Computer Science, Carnegie Mellon University; President & CEO, Vector Institute (2 JanVerified email at cs.cmu.edu
Jacob EisensteinGeorgia Institute of TechnologyVerified email at gatech.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science, Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
Avinava DubeyPhD student in MLD at CMUVerified email at cs.cmu.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoVerified email at cs.cmu.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Gunhee KimAssociate Professor, Seoul National UniversityVerified email at snu.ac.kr
Mario A. T. FigueiredoInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, PortugalVerified email at ist.utl.pt
William W. CohenGoogle AIVerified email at google.com
Pedro M. Q. AguiarInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.ist.utl.pt
Christos FaloutsosCMUVerified email at cs.cmu.edu
Bin ZhaoProject Scientist, Machine Learning Department, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Chong WangHead of AML Research Seattle at ByteDanceVerified email at cs.princeton.edu
Steve HannekeToyota Technological Institute at ChicagoVerified email at ttic.edu

Eric Xing

Professor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon University

Verified email at cs.cmu.edu - Homepage

Machine Learning Optimization Statistics Social network Information Retrieval


Title	Cited by	Year
Distance metric learning with application to clustering with side-information EP Xing, MI Jordan, SJ Russell, AY Ng Advances in neural information processing systems, 521-528, 2003	2955	2003
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research 9 (Sep), 1981-2014, 2008	1657	2008
Object bank: A high-level image representation for scene classification & semantic feature sparsification LJ Li, H Su, L Fei-Fei, EP Xing Advances in neural information processing systems, 1378-1386, 2010	978	2010
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp ICML 1, 601-608, 2001	775	2001
A latent variable model for geographic lexical variation J Eisenstein, B O'Connor, NA Smith, EP Xing Proceedings of the 2010 conference on empirical methods in natural language …, 2010	634	2010
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing Journal of Machine Learning Research 13 (Aug), 2237-2278, 2012	411	2012
Joint latent topic models for text and citations RM Nallapati, A Ahmed, EP Xing, WW Cohen Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	409	2008
Tree-guided group lasso for multi-task regression with structured sparsity S Kim, E P Xing figshare, 2010	381	2010
More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, S Lee, JK Kim, PB Gibbons, GA Gibson, G Ganger, ... Advances in neural information processing systems, 1223-1231, 2013	361	2013
Graph-structured multi-task regression and an efficient optimization method for general fused lasso X Chen, S Kim, Q Lin, JG Carbonell, EP Xing arXiv preprint arXiv:1005.3579, 2010	359*	2010
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing Electronic Journal of Statistics 4, 585-605, 2010	324	2010
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	304	2011
Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... IEEE Transactions on Big Data 1 (2), 49-67, 2015	293*	2015
CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts EP Xing, RM Karp Bioinformatics 17 (suppl_1), S306-S315, 2001	279	2001
Distributed cosegmentation via submodular optimization on anisotropic diffusion G Kim, EP Xing, L Fei-Fei, T Kanade 2011 International Conference on Computer Vision, 169-176, 2011	276	2011
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	255*	2017
Mechanisms of inactivation of p14ARF, p15INK4b, and p16INK4a genes in human esophageal squamous cell carcinoma EP Xing, Y Nie, Y Song, GY Yang, YC Cai, LD Wang, CS Yang Clinical Cancer Research 5 (10), 2704-2713, 1999	251	1999
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics 4 (1), 94-123, 2010	244	2010
Recovering time-varying networks of dependencies in social and biological studies A Ahmed, EP Xing Proceedings of the National Academy of Sciences 106 (29), 11878-11883, 2009	244	2009
Sparse additive generative models of text J Eisenstein, A Ahmed, E P Xing figshare, 2011	235	2011

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