Eric Xing

引用次数

	总计	2016 年至今
引用	41432	27214
h 指数	100	84
i10 指数	358	311

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Amr AhmedSenior Staff Research Scientist, Google AI在 google.com 的电子邮件经过验证
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie Mellon在 vectorinstitute.ai 的电子邮件经过验证
Jun ZhuProfessor of Computer Science, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Noah A. SmithUniversity of Washington; Allen Institute for Artificial Intelligence在 cs.washington.edu 的电子邮件经过验证
Mladen KolarThe University of Chicago, Booth School of Business在 chicagobooth.edu 的电子邮件经过验证
Jacob EisensteinGoogle Research在 google.com 的电子邮件经过验证
David BleiProfessor of Statistics and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Kumar Avinava DubeyResearch Scientist, Google Research在 google.com 的电子邮件经过验证
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard University在 fas.harvard.edu 的电子邮件经过验证
Li Fei-FeiProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Andre MartinsCarnegie Mellon University and Instituto Superior Tecnico在 cs.cmu.edu 的电子邮件经过验证
Gunhee KimAssociate Professor, Seoul National University在 snu.ac.kr 的电子邮件经过验证
William W. CohenGoogle AI在 google.com 的电子邮件经过验证
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
Mario A. T. FigueiredoInstituto de Telecomunicações; Instituto Superior Técnico, Universidade de Lisboa, Portugal在 ist.utl.pt 的电子邮件经过验证
Pedro M. Q. AguiarInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ Lisboa在 isr.ist.utl.pt 的电子邮件经过验证
Chong WangHead of AML Research at ByteDance在 cs.princeton.edu 的电子邮件经过验证
Bin ZhaoMachine Learning Department, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Steve HannekePurdue University在 ttic.edu 的电子邮件经过验证

Eric Xing

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

在 cs.cmu.edu 的电子邮件经过验证 - 首页

Machine Learning ML Systems Optimization Statistics Network Analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	3601	2002
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research, 2008	2225	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	1141	2010
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1, 601-608, 2001	876	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	817	2010
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International Conference on Machine Learning, 1587-1596, 2017	800*	2017
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	725	2019
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	655	2013
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	534	2016
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	518	2015
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012	508	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	497	2008
Tree-guided group lasso for multi-task regression with structured sparsity S Kim, EP Xing ICML, 2010	477	2010
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	472	2016
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	470	2016
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	464	2011
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing Electronic journal of statistics 4, 585-605, 2010	448	2010
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	401	2012
Asymptotically exact, embarrassingly parallel MCMC W Neiswanger, C Wang, E Xing arXiv preprint arXiv:1311.4780, 2013	342	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	341*	2010

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