Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Xiaojin Zhu
Xiaojin (Jerry) Zhu
Author information
- Department of Computer Sciences, University of Wisconsin-Madison
2010 – today
- 2012
[j5]Jun-Ming Xu, Xiaojin Zhu, Timothy T. Rogers: Metric Learning for Estimating Psychological Similarities. ACM TIST 3(3): 55 (2012)- [c55]Hesheng Zhang, Xiaoping Qiao, Ping'an Ding, Xiaojin Zhu: Research and Simulation on Template Surface Construction and Orthogonal Curvature Extraction. AsiaSim (1) 2012: 28-36
- [c54]Xiaoping Qiao, Hesheng Zhang, Jinxing Xu, Xiaojin Zhu: Research and Simulation of Surface Fitting Algorithm Based on Surface Patches Splicing. AsiaSim (2) 2012: 286-295
- [c53]Burr Settles, Xiaojin Zhu: Behavioral Factors in Interactive Training of Text Classifiers. HLT-NAACL 2012: 563-567
- [c52]Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, Amy Bellmore: Learning from Bullying Traces in Social Media. HLT-NAACL 2012: 656-666
- [c51]Jun-Ming Xu, Aniruddha Bhargava, Robert Nowak, Xiaojin Zhu: Socioscope: Spatio-temporal Signal Recovery from Social Media. ECML/PKDD (2) 2012: 644-659
- [i1]Jun-Ming Xu, Aniruddha Bhargava, Robert Nowak, Xiaojin Zhu: Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media. CoRR abs/1204.2248 (2012)
- 2011
- [c50]Andrew B. Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu: OASIS: Online Active Semi-Supervised Learning. AAAI 2011
- [c49]Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers: Co-Training as a Human Collaboration Policy. AAAI 2011
- [c48]Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller: Who Wrote This Code? Identifying the Authors of Program Binaries. ESORICS 2011: 172-189
- [c47]David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht: A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic. IJCAI 2011: 1171-1177
- [c46]Mariyam Mirza, Paul Barford, Xiaojin Zhu, Suman Banerjee, Michael Blodgett: Fingerprinting 802.11 rate adaption algorithms. INFOCOM 2011: 1161-1169
- [c45]Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu: Recovering the toolchain provenance of binary code. ISSTA 2011: 100-110
- [c44]Shilin Ding, Grace Wahba, Xiaojin (Jerry) Zhu: Learning Higher-Order Graph Structure with Features by Structure Penalty. NIPS 2011: 253-261
- [c43]Faisal Khan, Xiaojin (Jerry) Zhu, Bilge Mutlu: How Do Humans Teach: On Curriculum Learning and Teaching Dimension. NIPS 2011: 1449-1457
- 2010
- [j4]Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin Zhu: A Machine Learning Approach to TCP Throughput Prediction. IEEE/ACM Trans. Netw. 18(4): 1026-1039 (2010)
- [c42]Zhonghua Miao, Xuyong Wang, Chengliang Liu, Xiaojin Zhu: Design and Experimental Research on a Fast Zero-Finding Algorithm Based on the Incremental Angle Encoder. ICIRA (1) 2010: 195-203
- [c41]Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, Chuck Kalish: Cognitive Models of Test-Item Effects in Human Category Learning. ICML 2010: 1247-1254
- [c40]Xiaojin Zhu, Zhiyan Chen, Zhiyuan Gao, Xiaojun Wu: Experimental research and verification for Coullet chaos system. ICNC 2010: 3040-3044
- [c39]Bryan R. Gibson, Xiaojin Zhu, Timothy T. Rogers, Chuck Kalish, Joseph Harrison: Humans Learn Using Manifolds, Reluctantly. NIPS 2010: 730-738
- [c38]Andrew B. Goldberg, Xiaojin Zhu, Ben Recht, Jun-Ming Xu, Robert D. Nowak: Transduction with Matrix Completion: Three Birds with One Stone. NIPS 2010: 757-765
- [c37]Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu: Extracting compiler provenance from program binaries. PASTE 2010: 21-28
- [r1]
2000 – 2009
- 2009
- [b1]Xiaojin Zhu, Andrew B. Goldberg: Introduction to Semi-Supervised Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2009
- [j3]Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, Robert Nowak: Multi-Manifold Semi-Supervised Learning. Journal of Machine Learning Research - Proceedings Track 5: 169-176 (2009)
- [c36]Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot: Some new directions in graph-based semi-supervised learning. ICME 2009: 1504-1507
- [c35]David Andrzejewski, Xiaojin Zhu, Mark Craven: Incorporating domain knowledge into topic modeling via Dirichlet Forest priors. ICML 2009: 4
- [c34]Andrew B. Goldberg, Nathanael Fillmore, David Andrzejewski, Zhiting Xu, Bryan R. Gibson, Xiaojin Zhu: May All Your Wishes Come True: A Study of Wishes and How to Recognize Them. HLT-NAACL 2009: 263-271
- [c33]
- [c32]Mariyam Mirza, Kevin Springborn, Suman Banerjee, Paul Barford, Michael Blodgett, Xiaojin Zhu: On The Accuracy of TCP Throughput Prediction for Opportunistic Wireless Networks. SECON 2009: 1-9
- 2008
- [c31]Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller, Karen Hunt: Learning to Analyze Binary Computer Code. AAAI 2008: 798-804
- [c30]Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki Colman, Joseph Kemnitz: Online Learning in Monkeys. AAAI 2008: 1506-1507
- [c29]John Blitzer, Xiaojin Zhu: Semi-Supervised Learning for Natural Language Processing. ACL (Tutorial Abstracts) 2008: 3
- [c28]Xiaojin Zhu, Andrew B. Goldberg, Michael Rabbat, Robert D. Nowak: Learning Bigrams from Unigrams. ACL 2008: 656-664
- [c27]Pedro DeRose, Xiaoyong Chai, Byron J. Gao, Warren Shen, AnHai Doan, Philip Bohannon, Xiaojin Zhu: Building Community Wikipedias: A Machine-Human Partnership Approach. ICDE 2008: 646-655
- [c26]Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu: Human Active Learning. NIPS 2008: 241-248
- [c25]Aarti Singh, Robert D. Nowak, Xiaojin Zhu: Unlabeled data: Now it helps, now it doesn't. NIPS 2008: 1513-1520
- [c24]Andrew B. Goldberg, Ming Li, Xiaojin Zhu: Online Manifold Regularization: A New Learning Setting and Empirical Study. ECML/PKDD (1) 2008: 393-407
- 2007
- [j2]Andrew B. Goldberg, Xiaojin Zhu, Stephen J. Wright: Dissimilarity in Graph-Based Semi-Supervised Classification. Journal of Machine Learning Research - Proceedings Track 2: 155-162 (2007)
- [c23]
- [c22]Xiaojin Zhu, Timothy T. Rogers, Ruichen Qian, Chuck Kalish: Humans Perform Semi-Supervised Classification Too. AAAI 2007: 864-870
- [c21]Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, Charles R. Dyer, Bradley Strock: A Text-to-Picture Synthesis System for Augmenting Communication. AAAI 2007: 1590-1596
- [c20]David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu: Statistical Debugging Using Latent Topic Models. ECML 2007: 6-17
- [c19]Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu: A Topic Model for Word Sense Disambiguation. EMNLP-CoNLL 2007: 1024-1033
- [c18]Jurgen Van Gael, Xiaojin Zhu: Correlation Clustering for Crosslingual Link Detection. IJCAI 2007: 1744-1749
- [c17]Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu: Semi-supervised classification with hybrid generative/discriminative methods. KDD 2007: 280-289
- [c16]Tinggao Qin, Xiaojin Zhu, Yanchun Chen, Jian Wang: A Two-Phase Chaotic Neural Network Algorithm for Channel Assignment in Cellular Systems. LSMS (1) 2007: 540-550
- [c15]Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael, David Andrzejewski: Improving Diversity in Ranking using Absorbing Random Walks. HLT-NAACL 2007: 97-104
- [c14]Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin Zhu: A machine learning approach to TCP throughput prediction. SIGMETRICS 2007: 97-108
- 2006
- [c13]Xiaojin Zhu, Yanchun Chen, Hesheng Zhang, Jialin Cao: Algorithm Analysis and Application Based on Chaotic Neural Network for Cellular Channel Assignment. ICIC (1) 2006: 991-996
- [c12]Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, Mark Craven: Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006. TREC 2006
- 2005
- [c11]Xiaojin Zhu, John D. Lafferty: Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. ICML 2005: 1052-1059
- 2004
- [c10]John D. Lafferty, Xiaojin Zhu, Yan Liu: Kernel conditional random fields: representation and clique selection. ICML 2004
- [c9]Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty: Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. NIPS 2004
- 2003
- [c8]Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty: Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. ICML 2003: 912-919
- 2001
- [j1]Ronald Rosenfeld, Stanley F. Chen, Xiaojin Zhu: Whole-sentence exponential language models: a vehicle for linguistic-statistical integration. Computer Speech & Language 15(1): 55-73 (2001)
- [c7]Stefanie Shriver, Roni Rosenfeld, Xiaojin Zhu, Arthur R. Toth, Alexander I. Rudnicky, Markus Flueckiger: Universalizing speech: notes from the USI project. INTERSPEECH 2001: 1563-1566
- 2000
- [c6]
- [c5]Ralph Gross, Michael Bett, Hua Yu, Xiaojin Zhu, Yue Pan, Jie Yang, Alex Waibel: Towards a Multimodal Meeting Record. IEEE International Conference on Multimedia and Expo (III) 2000: 1593-1596
- [c4]Roni Rosenfeld, Xiaojin Zhu, Arthur R. Toth, Stefanie Shriver, Kevin A. Lenzo, Alan W. Black: Towards a universal speech interface. INTERSPEECH 2000: 102-105
- [c3]Michael Bett, Ralph Gross, Hua Yu, Xiaojin Zhu, Yue Pan, Jie Yang, Alex Waibel: Multimodal Meeting Tracker. RIAO 2000: 32-45
1990 – 1999
- 1999
- [c2]Xiaojin Zhu, Stanley F. Chen, Ronald Rosenfeld: Linguistic features for whole sentence maximum entropy language models. EUROSPEECH 1999
- [c1]Jie Yang, Xiaojin Zhu, Ralph Gross, John Kominek, Yue Pan, Alex Waibel: Multimodal people ID for a multimedia meeting browser. ACM Multimedia (1) 1999: 159-168
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-01-04 23:54 CET by the dblp team