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
Kumar 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
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoEmail verificata su cs.cmu.edu
Gunhee KimAssociate Professor, Seoul National UniversityEmail verificata su snu.ac.kr
William W. CohenGoogle AIEmail verificata su google.com
Mario A. T. FigueiredoInstituto de Telecomunicações; Instituto Superior Técnico, Universidade de Lisboa, PortugalEmail verificata su ist.utl.pt
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

President at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U

Email verificata su cs.cmu.edu - Home page

Machine Learning ML Systems Optimization Statistics Network Analysis


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 EP Xing, AY Ng, MI Jordan, S Russell NIPS 15 (505–512), 12, 2002	3472	2002
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research, 2008	2097	2008
Object bank: A high-level image representation for scene classification & semantic feature sparsification LJ Li, H Su, FF Li, E P Xing Carnegie Mellon University, 2010	1122	2010
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1, 601-608, 2001	851	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	797	2010
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International Conference on Machine Learning, 1587-1596, 2017	661*	2017
More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, JK Kim, S Lee, PB Gibbons, GA Gibson, GR Ganger, ... Advances in neural information processing systems 2013, 1223, 2013	577	2013
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, E Xing, L El Ghaoui, M Jordan International Conference on Machine Learning, 7472-7482, 2019	492	2019
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012	490	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	481	2008
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	470	2015
Tree-guided group lasso for multi-task regression with structured sparsity S Kim, EP Xing ICML, 2010	466	2010
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	460	2016
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	427	2011
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing Electronic journal of statistics 4, 585-605, 2010	424	2010
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	394	2016
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	383	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	364	2012
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	328	2011
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	322*	2010

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