Eric Xing

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Amr AhmedSenior Staff Research Scientist, Google AIEmail verificata su google.com
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonEmail verificata su vectorinstitute.ai
Jun ZhuProfessor of Computer Science, Tsinghua UniversityEmail verificata su mail.tsinghua.edu.cn
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceEmail verificata su cs.washington.edu
Mladen KolarThe University of Chicago, Booth School of BusinessEmail verificata su chicagobooth.edu
Jacob EisensteinGoogle ResearchEmail verificata su google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail verificata su columbia.edu
Avinava DubeyCarnegie Mellon UniversityEmail verificata su cs.cmu.edu
Edoardo M AiroldiProfessor of Statistics & Data Science, Temple University & PI, Harvard UniversityEmail verificata su fas.harvard.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoEmail verificata su cs.cmu.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Gunhee KimAssociate Professor, Seoul National UniversityEmail verificata su snu.ac.kr
Mario A. T. FigueiredoInstituto de Telecomunicações; Instituto Superior Técnico, Universidade de Lisboa, PortugalEmail verificata su ist.utl.pt
William W. CohenGoogle AIEmail verificata su google.com
Christos FaloutsosCMUEmail verificata su cs.cmu.edu
Pedro M. Q. AguiarInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaEmail verificata su isr.ist.utl.pt
Chong WangHead of AML Research at ByteDanceEmail verificata su cs.princeton.edu
Bin ZhaoMachine Learning Department, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Steve HannekeToyota Technological Institute at ChicagoEmail verificata su ttic.edu

Eric Xing

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

Email verificata su cs.cmu.edu - Home page

Machine Learning Optimization Statistics Social network Information Retrieval


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Distance metric learning with application to clustering with side-information E Xing, M Jordan, SJ Russell, A Ng Advances in neural information processing systems 15, 521-528, 2002	3365	2002
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research 9 (Sep), 1981-2014, 2008	2031	2008
Object bank: A high-level image representation for scene classification & semantic feature sparsification LJ Li, H Su, L Fei-Fei, E Xing Advances in neural information processing systems 23, 1378-1386, 2010	1078	2010
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1, 601-608, 2001	841	2001
A latent variable model for geographic lexical variation J Eisenstein, B O’Connor, NA Smith, E Xing Proceedings of the 2010 conference on empirical methods in natural language …, 2010	769	2010
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing arXiv preprint arXiv:1703.00955, 2017	628*	2017
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 26, 1223-1231, 2013	544	2013
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012	479	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	469	2008
Tree-guided group lasso for multi-task regression with structured sparsity. S Kim, EP Xing ICML 2, 1, 2010	457	2010
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	445	2015
Learning a predictable and generative vector representation for objects R Girdhar, DF Fouhey, M Rodriguez, A Gupta European Conference on Computer Vision, 484-499, 2016	428	2016
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	419*	2010
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing Electronic Journal of Statistics 4, 585-605, 2010	415	2010
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	401	2011
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, EP Xing, LE Ghaoui, MI Jordan arXiv preprint arXiv:1901.08573, 2019	399	2019
Race: Large-scale reading comprehension dataset from examinations G Lai, Q Xie, H Liu, Y Yang, E Hovy arXiv preprint arXiv:1704.04683, 2017	379	2017
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	370	2016
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	343	2012
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	342	2016

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