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 NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu
Jun-Ming XuGoogleVerified email at wisc.edu
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonVerified email at wisc.edu
Xuezhou ZhangBoston UniversityVerified email at bu.edu
David M. AndrzejewskiEngineering, Sumo LogicVerified email at wisc.edu
Kwang-Sung JunThe University of ArizonaVerified email at cs.arizona.edu
Yuzhe MaMicrosoftVerified email at wisc.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
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
Barton MillerVilas Distinguished Achievement Professor, University of Wisconsin-MadisonVerified email at cs.wisc.edu
Mark CravenProfessor of Biostatistics and Medical Informatics, University of WisconsinVerified email at biostat.wisc.edu
Scott AlfeldAmherst CollegeVerified email at amherst.edu
Aarti SinghProfessor 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

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	5549	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	5246	2003
Introduction to semi-supervised learning X Zhu, AB Goldberg Springer Nature, 2022	3431	2022
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2086	2002
Semi-supervised learning with graphs X Zhu Carnegie Mellon University, 2005	969	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	710	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	557	2009
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	541	2012
Using machine teaching to identify optimal training-set attacks on machine learners S Mei, X Zhu Proceedings of the aaai conference on artificial intelligence 29 (1), 2015	486	2015
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	470	2006
Out-of-distribution detection with deep nearest neighbors Y Sun, Y Ming, X Zhu, Y Li International Conference on Machine Learning, 20827-20840, 2022	465	2022
Unlabeled data: Now it helps, now it doesn't A Singh, R Nowak, J Zhu Advances in neural information processing systems 21, 2008	348	2008
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	338	2007
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	334	2015
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	327	2014
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	326	2007
Data poisoning attacks against autoregressive models S Alfeld, X Zhu, P Barford Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	291	2016
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	265	2010
Segmenting hands of arbitrary color X Zhu, J Yang, A Waibel Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000	259	2000
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	246	2005

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