Xinhua Zhang

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	All	Since 2016
Citations	1020	640
h-index	17	15
i10-index	27	21

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Co-authors

Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Yaoliang YuUniversity of WaterlooVerified email at uwaterloo.ca
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Ankan SahaSenior Staff Applied Researcher, LinkedinVerified email at linkedin.com
Martha WhiteUniversity of AlbertaVerified email at ualberta.ca
Hao ChengMicrosoft ResearchVerified email at microsoft.com
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Alex SmolaAmazon Web ServicesVerified email at smola.org
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Mohammad Ali BashiriUniversity of Illinois at ChicagoVerified email at uic.edu
Shin MatsushimaThe University of TokyoVerified email at ds.itc.u-tokyo.ac.jp
Hyokun YunMachine Learning Scientist at AmazonVerified email at amazon.com
Özlem AslanResearch Scientist at DeepMindVerified email at google.com
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoVerified email at uic.edu
Rizal FathonyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Vignesh GanapathiramanUniversity of Illinois at ChicagoVerified email at uic.edu
Yingyi MaUniversity of Illinois at ChicagoVerified email at uic.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Thore GraepelResearch Scientist, Google DeepMind, and Professor of Computer Science, UCLVerified email at ucl.ac.uk

Xinhua Zhang

University of Illinois at Chicago

Verified email at uic.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Convex multi-view subspace learning M White, Y Yu, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 1673-1681, 2012	139	2012
Accelerated training for matrix-norm regularization: A boosting approach X Zhang, Y Yu, D Schuurmans Advances in Neural Information Processing Systems, 2906-2914, 2012	107	2012
Hyperparameter learning for graph based semi-supervised learning algorithms X Zhang, WS Lee Advances in neural information processing systems, 1585-1592, 2006	61	2006
Tailoring density estimation via reproducing kernel moment matching L Song, X Zhang, A Smola, A Gretton, B Schölkopf Proceedings of the 25th international conference on Machine learning, 992-999, 2008	56	2008
Support Vector Machines X Zhang Encyclopedia of Machine Learning, 941-946, 2011	53*	2011
Bayesian online learning for multi-label and multi-variate performance measures X Zhang, T Graepel, R Herbrich Proceedings of the Thirteenth International Conference on Artificial …, 2010	45	2010
Kernel measures of independence for non-iid data X Zhang, L Song, A Gretton, A Smola Advances in neural information processing systems 21, 1937-1944, 2008	40	2008
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. X Zhang, Y Yu, M White, R Huang, D Schuurmans AAAI, 2011	37	2011
Consistent image analogies using semi-supervised learning L Cheng, SVN Vishwanathan, X Zhang 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	35	2008
Generalized conditional gradient for sparse estimation Y Yu, X Zhang, D Schuurmans Journal of Machine Learning Research 18 (144), 1-46, 2017	33	2017
Convex deep learning via normalized kernels Ö Aslan, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 3275-3283, 2014	32	2014
Conditional random fields for multi-agent reinforcement learning X Zhang, D Aberdeen, SVN Vishwanathan Proceedings of the 24th international conference on Machine learning, 1143-1150, 2007	28	2007
New approximation algorithms for minimum enclosing convex shapes A Saha, SVN Vishwanathan, X Zhang Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011	26	2011
Convex two-layer modeling Ö Aslan, H Cheng, X Zhang, D Schuurmans Advances in Neural Information Processing Systems 26, 2985-2993, 2013	24	2013
Smoothing multivariate performance measures X Zhang, A Saha, SVN Vishwanathan Journal of Machine Learning Research 13 (Dec), 3623-3680, 2012	24	2012
New approximation algorithms for minimum enclosing convex shapes A Saha, SVN Vishwanathan, X Zhang Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011	23	2011
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search MA Bashiri, X Zhang Advances in Neural Information Processing Systems, 2687-2697, 2017	19	2017
Scalable and Sound Low-Rank Tensor Learning H Cheng, Y Yu, X Zhang, E Xing, D Schuurmans Proceedings of the 19th International Conference on Artificial Intelligence …, 2016	19	2016
Polar operators for structured sparse estimation X Zhang, YL Yu, D Schuurmans Advances in Neural Information Processing Systems, 82-90, 2013	16	2013
A very gentle note on the construction of dirichlet process X Zhang The Australian National University, Canberra, 2008	16	2008

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