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Research area :
Graphical models |
Non-parametric Bayesian |
Mixture models & topic models |
Graph & network modelling & learning |
Structured I/O learning |
Clustering, classification and metric learning |
Active and transductive learning |
Variational methods |
Miscellaneous
2009:
M. Kolar, L. Song, A. Ahmed, and E. P. Xing,
Estimating Time-Varying Networks
to appear, Annals of Applied Statistics, 2009. (earlier version appeared in arXiv:0812.5087)
E.P. Xing, W. Fu, and L. Song,
A State-Space Mixed Membership Block model for Dynamic Network Tomography
to appear, Annals of Applied Statistics, 2009. (earlier version appeared in arXiv:0901.0135)
M. Kolar, L. Song and E. P. Xing,
Sparsistent Learning of Varying-coefficient Models with Structural Changes,
Proceeding of the 23rd Neural Information Processing Systems, (NIPS 2009).
L. Song, M. Kolar and E. P. Xing,
Time-Varying Dynamic Bayesian Networks
Proceeding of the 23rd Neural Information Processing Systems, (NIPS 2009).
X. Yang, S. Kim and E. P. Xing,
Heterogeneous Multitask Learning with Joint Sparsity Constraints
Proceeding of the 23rd Neural Information Processing Systems, (NIPS 2009).
S. Hanneke, W. Fu and E. P. Xing,
Discrete Temporal Models of Social Networks,
Manuscript, arXiv:0908.1258, communicated August 2009.
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
M. Kolar and E. P. Xing,
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields, Manuscript, arXiv:0907.2337, communicated July 2009.
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
J. Zhu and E. P. Xing,
Maximum Entropy Discrimination Markov Networks, Manuscript, arXiv:0901.2730, communicated January 2009.
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Steve Hanneke, Theoretical Foundations of Active Learning
Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, April 2009
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Jun Zhu, Amr Ahmed and Eric P. Xing, MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification, Proceedings of the 26th International Conference on Machine Learning (ICML 2009)
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Wenjie Fu, Le Song and Eric P. Xing, Dynamic Mixed Membership Block Model for Evolving Networks, Proceedings of the 26th International Conference on Machine Learning (ICML 2009)
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Amr Ahmed, Eric P. Xing, William Cohen, and Robert Murphy, Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature, Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009)
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Wenjie Fu, Pradipta Ray and Eric P. Xing, DISCOVER: A feature-based discriminative method for motif search in complex genomes, Proceedings of the 16th International Conference on Intelligent Systems for Molecular Biology (ISMB 2009)
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Steve Hanneke and Eric P. Xing, Network Completion and Survey Sampling, Proceedings of the 12th International Conference on Artifical Intelligence and Statistics (AISTAT 2009)
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Andre Martins, Mario Figueiredo, Pedro Aguiar, Noah A. Smith, and Eric P. Xing, Nonextensive Entropic Kernels, Journal of Machine Learning Research, 2009
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Jun Zhu and Eric P. Xing, Maximum Entropy Discrimination Markov Networks, arXiv, communicated January 2009
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2008:
Amr Ahmed, Le Song, and Eric Xing, Time-Varying Networks: Recovering Temporally Rewiring Genetic Networks During the Life Cycle of Drosophila melanogaster , arXiv, communicated December 2008
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Wenjie Fu, Le Song, and Eric Xing, A State-Space Mixed Membership Blockmodel for Dynamic Network Tomography , arXiv, communicated December 2008
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Mladen Kolar, Le Song, and Eric Xing, Estimating Time-Varying Networks , arXiv, communicated December 2008
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Mladen Kolar, Eric Xing, Improved Estimation of High-dimensional Ising Models,
arXiv, communicated November 2008
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
André F.T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing, Stacking Dependency Parsers,
Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2008)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Jun Zhu, Eric Xing, Bo Zhang, Partially Observed Maximum Entropy Discrimination Markov
Networks., Proceeding of the 22nd Neural
Information Processing Systems (NIPS 2008)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Edo Airoldi, David Blei, Steve Fienberg, Eric Xing, Mixed Membership
Stochastic Blockmodel, Proceeding of the 22nd Neural
Information Processing Systems (NIPS 2008)
Journal version here.
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Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric Xing, Training
Hierarchical Feed-forward Visual Recognition Models Using Transfer
Learning from Pseudo-Tasks. Proceeding of the 10th European
Conference of Computer Vision (ECCV 2008)
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
W.-H. Lin, E. P. Xing, and A. Hauptmann, A Joint Topic and Perspective Model for
Ideological Discourse, Proceedings of the European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases
(ECML PKDD 08)
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
R. Nallapati, A. Ahmed, E. P. Xing, and W. Cohen, Sparse Feature Joint
Latent Topic Models for text and citations, Proceedings of The Fourteen
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2008)
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
M.-F. Balcan, S. Hanneke, J. Wortman, The True Sample Complexity of Active Learning,
Proceedings of the 21st Annual Conference on Learning Theory (COLT 2008)
Winner of the Mark Fulk Best Paper Award
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
A. Martins, M. Figueiredo, P. Aguiar, N. A. Smith
and E. P. Xing, Nonextensive Entropic Kernels, Proceedings of
the 25th International Conference on Machine Learning (ICML 2008)
Longer version available as CMU-MLD Technical Report 08-106
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
P. Ray, S. Shringarpure, M. Kolar and E. P. Xing, CSMET: Comparative Genomic Motif
Detection via Multi-Resolution Phylogenetic Shadowing, PLoS Computational Biology (2008),
Vol 4 (6), June 2008
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide) | Pubmed
E. Airoldi, D. Blei, S. Fienberg and E. P. Xing, Mixed Membership Stochastic Blockmodels,
Journal of Machine Learning Research (2008), Vol 4, Sep 2008
Conference version here.
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
F. Guo, L. Li, C. Faloutsos and E. P. Xing, C-DEM: A Multi-Modal Query
System for Drosophila Embryo Databases, Proceedings of The 34th
International Conference on Vary Large Data Bases (VLDB2008)
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
A.Ahmed and E. P. Xing, Dynamic Non-Parametric Mixture Models and the Recurrent Chinese
Restaurant Process, Proceedings of The Eighth SIAM International Conference on Data Mining
(SDM 2008)
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Z. Guo, Z. Zhang, E. P. Xing and C. Faloutsos, Semi-supervised Learning
Based on Semiparametric Regularization, Proceedings of The Eighth SIAM
International Conference on Data Mining (SDM 2008)
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T. Lin, P. Ray, G. K. Sandve, S. Uguroglu, and E. P. Xing,
BayCis: a Bayesian hierarchical HMM for cis-regulatory module decoding in
metazoan genomes, Proceedings of the Twelfth Annual International Conference on
Research in Computational Molecular Biology (RECOMB2008)
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J. Yang, R. Yan, Y. Liu,
and E. P. Xing, Harmonium Models for Video Classification, Journal of
Statistical Analysis and Data Mining, Vol 1, issue 1, p23-37, 2008
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
2007:
M.-F. Balcan, E. Even-Dar, S. Hanneke, M. Kearns, Y. Mansour, J. Wortman, Asymptotic Active Learning,
NIPS Workshop on Principles of Learning Problem Design 2007. (NIPS-WPLPD 07)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
B. Zhao and E. P. Xing, HM-BiTAM: Bilingual Topic Exploration, Word
Alignment, and Translation, Advances in Neural Information Processing
Systems 20 (NIPS2007)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
L. Chang, N. Pollard,
T. Michell and E. P. Xing, Feature selection for grasp recognition from
optical markers, Proceedings of the 2007 IEEE/RSJ Intl. Conference on
Intelligent Robots and Systems, 2007 (IROS2007)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
S. Hanneke,
A Bound on the Label Complexity of Agnostic Active Learning.
Proceedings of the 24th Annual International Conference on Machine Learning
(ICML 2007)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
F. Guo, S. Hanneke,
W. Fu and E. P. Xing, Recovering Temporally Rewiring Networks: A
model-based approach, Proceedings of the 24th International Conference
on Machine Learning (ICML 2007)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
L. Gu, E. P. Xing, and T.
Kanade, Learning GMRF Structures for Spatial Priors, Proceedings of the
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
S. Hanneke,
Teaching Dimension and the Complexity of Active Learning,
Proceedings of the 20th Annual Conference on Learning Theory (COLT 2007)
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Z. Guo, Z. Zhang,
E. P. Xing, C. Faloutsos, Enhanced Max Margin Learning on Multimodal
Data Mining in a Multimedia Database, The Thirteenth ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (KDD
2007)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
Z. Guo, Z. Zhang,
E. P. Xing, C. Faloutsos, A Max Margin Framework on Image Annotation
and Multimodal Image Retrieval, IEEE International Conference on
Multimedia & Expo (ICME 2007)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
A. Ahmed and E. P. Xing,
On Tight Approximate Inference of Logistic-Normal Admixture Model,
Proceedings of the Eleventh International Conference on Artifical
Intelligence and Statistics (AISTAT 2007)
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
J. Yang, Y. Liu, E. P. Xing and
A. Hauptmann, Harmonium-Based Models for Semantic Video Representation
and Classification , Proceedings of The Seventh SIAM International
Conference on Data Mining (SDM 2007)
Recipient of the BEST PAPER Award
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
2006:
J-Y Pan, A. Balan, E.P. Xing,
A. Traina and C. Faloutsos, Automatic Mining of Fruit Fly Embryo
Images, The Twelfth ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD 2006)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
B. Zhao and E.P
Xing, BiTAM: Bilingual Topic AdMixture Models for Word Alignment, The
joint conference of the International Committee on Computational
Linguistics and the Association for Computational Linguistics (ACL
2006)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
S. Hanneke,
An Analysis of Graph Cut Size for Transductive Learning, Proceedings of
the 23rd International Conference on Machine Learning (ICML 2006)
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S. Hanneke and
E.P Xing, Discrete Temporal Models of Social Networks, In proceedings
of the Workshop on Statistical Network Analysis, the 23rd International
Conference on Machine Learning (ICML-SNA 2006)
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F. Guo and E.P Xing, Bayesian Exponential Family Harmoniums, CMU-MLD Technical Report 06-103
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E.M. Airoldi, D.M. Blei, S.E.
Fienberg, E.P. Xing, Latent mixed-membership allocation models of
relational and multivariate attribute data, Valencia & ISBA Joint
World Meeting on Bayesian Statistics (2006)
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2005:
E.P. Xing, On Topic Evolution. CMU-CALD Technical Report 05-115
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E.P. Xing, Dynamic Nonparametric Bayesian Models and the Birth-Death Process. CMU-CALD Technical Report 05-114
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F. Li, Y. Yang and E. P. Xing, From Lasso regression to Feature vector machine,
Advances in Neural Information Processing Systems 18 (NIPS2005)
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PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide)
E. Airoldi, D. Blei,
E.P. Xing and S. Fienberg, A Latent Mixed Membership Model for
Relational Data. Workshop on Link Discovery: Issues, Approaches and
Applications (LinkKDD-2005)
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide) | Citations
PDF | Presentation | Project URL | Publication URL | Bibtex (show/hide) | Citations
E.P. Xing, R. Yan and A. G.
Hauptmann, Mining Associated Text and Images with Dual-Wing Harmoniums.
Uncertainty in Artificial Intelligence, 2005 (UAI2005)
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B. Zhao,
E.P Xing, and A. Waibel, Bilingual Word Spectral Clustering for
Statistical Machine Translation. ACL-Workshop-WPT, Ann Arbor MI, 2005
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2004:
E.P. Xing, Probabilistic graphical models and algorithms for genomic analysis
Ph.D. Thesis, University of California, Berkeley, July 2004
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