Xiaojin Zhu

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Andrew B. GoldbergINKY Technology CorporationVerified email at inky.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Robert D NowakNosbusch Professor in Engineering and Wisconsin Institute for Discovery, UW-MadisonVerified email at wisc.edu
Jun-Ming XuGoogleVerified email at wisc.edu
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonVerified email at wisc.edu
David M. AndrzejewskiEngineering, Sumo LogicVerified email at wisc.edu
Kwang-Sung JunThe University of ArizonaVerified email at cs.arizona.edu
Amy BellmoreProfessor of Human Development, University of Wisconsin-MadisonVerified email at wisc.edu
Paul BarfordProfessor of Computer Science, University of Wisconsin - MadisonVerified email at cs.wisc.edu
Yuzhe MaMicrosoftVerified email at microsoft.com
Xuezhou ZhangPrinceton UniversityVerified email at princeton.edu
Roni RosenfeldProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
charles kalishEmeritus Professor of Educational Psychology, university of Wisconsin MadisonVerified email at wisc.edu
Charles R. DyerProfessor of Computer Science, University of Wisconsin - MadisonVerified email at cs.wisc.edu
Mark CravenProfessor of Biostatistics and Medical Informatics, University of WisconsinVerified email at biostat.wisc.edu
Barton MillerVilas Distinguished Achievement Professor, University of Wisconsin-MadisonVerified email at cs.wisc.edu
Aarti SinghAssociate Professor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of KarlsruheVerified email at cs.cmu.edu
Jie YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Scott AlfeldAmherst CollegeVerified email at amherst.edu

Xiaojin Zhu

Professor in Computer Science at University of Wisconsin-Madison

Verified email at cs.wisc.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Semi-supervised learning literature survey XJ Zhu University of Wisconsin-Madison Department of Computer Sciences, 2005	4777	2005
Semi-supervised learning using gaussian fields and harmonic functions X Zhu, Z Ghahramani, JD Lafferty Proceedings of the 20th International conference on Machine learning (ICML …, 2003	4539	2003
Introduction to semi-supervised learning X Zhu, AB Goldberg Synthesis lectures on artificial intelligence and machine learning 3 (1), 1-130, 2009	2509	2009
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн	1642	2002
Semi-supervised learning with graphs X Zhu Carnegie Mellon University, 2005	810	2005
Combining Active Learning and Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions X Zhu, J Lafferty, Z Ghahramani ICML 2003 workshop on The Continuum from Labeled to Unlabeled Data in …, 2003	615	2003
Incorporating domain knowledge into topic modeling via Dirichlet forest priors D Andrzejewski, X Zhu, M Craven Proceedings of the 26th annual international conference on machine learning …, 2009	503	2009
Seeing stars when there aren’t many stars: Graph-based semi-supervised learning for sentiment categorization AB Goldberg, X Zhu Proceedings of TextGraphs: The first workshop on graph based methods for …, 2006	431	2006
Learning from bullying traces in social media JM Xu, KS Jun, X Zhu, A Bellmore Proceedings of the 2012 conference of the North American chapter of the …, 2012	395	2012
Using machine teaching to identify optimal training-set attacks on machine learners S Mei, X Zhu Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	327	2015
A topic model for word sense disambiguation J Boyd-Graber, D Blei, X Zhu Proceedings of the 2007 joint conference on empirical methods in natural …, 2007	313	2007
Improving diversity in ranking using absorbing random walks X Zhu, AB Goldberg, J Van Gael, D Andrzejewski Human Language Technologies 2007: The Conference of the North American …, 2007	298	2007
Unlabeled data: Now it helps, now it doesn't A Singh, R Nowak, J Zhu Advances in neural information processing systems 21, 2008	275	2008
Corleone: Hands-off crowdsourcing for entity matching C Gokhale, S Das, AH Doan, JF Naughton, N Rampalli, J Shavlik, X Zhu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	253	2014
Segmenting hands of arbitrary color X Zhu, J Yang, A Waibel Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000	243	2000
Transduction with matrix completion: Three birds with one stone A Goldberg, B Recht, J Xu, R Nowak, J Zhu Advances in neural information processing systems 23, 2010	240	2010
Machine teaching: An inverse problem to machine learning and an approach toward optimal education X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	237	2015
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning X Zhu, J Lafferty Proceedings of the 22nd international conference on Machine learning, 1052-1059, 2005	221	2005
Nonparametric transforms of graph kernels for semi-supervised learning J Zhu, J Kandola, Z Ghahramani, J Lafferty Advances in neural information processing systems 17, 2004	214	2004
Kernel conditional random fields: representation and clique selection J Lafferty, X Zhu, Y Liu Proceedings of the twenty-first international conference on Machine learning, 64, 2004	211	2004

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