Eric P. Xing

School of Computer Science, Carnegie Mellon University

	2013
c101		Kriti Puniyani, Eric P. Xing: NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources. RECOMB 2013: 173-185
c100		Gunhee Kim, Eric P. Xing: Time-sensitive web image ranking and retrieval via dynamic multi-task regression. WSDM 2013: 163-172
	2012
j31		Seunghak Lee, Eric P. Xing: Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs. Bioinformatics 28(12): 137-146 (2012)
j30		Ross E. Curtis, Jing Xiang, Ankur P. Parikh, Peter Kinnaird, Eric P. Xing: Enabling dynamic network analysis through visualization in TVNViewer. BMC Bioinformatics 13: 204 (2012)
j29		Ning Chen, Jun Zhu, Fuchun Sun, Eric P. Xing: Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2365-2378 (2012)
c99		Yu Zhang, Dit-Yan Yeung, Eric P. Xing: Supervised Probabilistic Robust Embedding with Sparse Noise. AAAI 2012
c98		Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Fei-Fei Li: Multi-Level Structured Image Coding on High-Dimensional Image Representation. ACCV (2) 2012: 147-161
c97		Eric P. Xing: Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus. ACL (Tutorial Abstracts) 2012: 3
c96		Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing: TopicViz: interactive topic exploration in document collections. CHI Extended Abstracts 2012: 2177-2182
c95		Gunhee Kim, Eric P. Xing: On multiple foreground cosegmentation. CVPR 2012: 837-844
c94		Kriti Puniyani, Eric P. Xing: Inferring Gene Interaction Networks from ISH Images via Kernelized Graphical Models. ECCV (6) 2012: 72-85
c93		Mladen Kolar, Eric P. Xing: Consistent Covariance Selection From Data With Missing Values. ICML 2012
c92		Junming Yin, Xi Chen, Eric P. Xing: Group Sparse Additive Models. ICML 2012
c91		Jiayao Hu, Yingbin Liang, Eric P. Xing: Nonparametric decentralized detection based on weighted count kernel. ISIT 2012: 324-328
c90		Gunhee Kim, Fei-Fei Li, Eric P. Xing: Web image prediction using multivariate point processes. KDD 2012: 1068-1076
c89		Kosuke Fukumasu, Koji Eguchi, Eric P. Xing: Symmetric Correspondence Topic Models for Multilingual Text Analysis. NIPS 2012: 1295-1303
c88		Qixia Jiang, Jun Zhu, Maosong Sun, Eric P. Xing: Monte Carlo Methods for Maximum Margin Supervised Topic Models. NIPS 2012: 1601-1609
c87		Qirong Ho, Junming Yin, Eric P. Xing: On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks. NIPS 2012: 2141-2149
c86		Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing: A Spectral Algorithm for Latent Junction Trees. UAI 2012: 675-684
c85		Qirong Ho, Jacob Eisenstein, Eric P. Xing: Document hierarchies from text and links. WWW 2012: 739-748
i15		Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing: Smoothing Proximal Gradient Method for General Structured Sparse Learning. CoRR abs/1202.3708 (2012)
i14		Jun Zhu, Eric P. Xing: Sparse Topical Coding. CoRR abs/1202.3778 (2012)
i13		Amr Ahmed, Eric P. Xing: Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream. CoRR abs/1203.3463 (2012)
i12		Junming Yin, Xi Chen, Eric P. Xing: Group Sparse Additive Models. CoRR abs/1206.4673 (2012)
i11		Eric P. Xing, Rong Yan, Alexander G. Hauptmann: Mining Associated Text and Images with Dual-Wing Harmoniums. CoRR abs/1207.1423 (2012)
i10		Eric P. Xing, Michael I. Jordan, Stuart J. Russell: Graph partition strategies for generalized mean field inference. CoRR abs/1207.4156 (2012)
i9		Jun Zhu, Ning Chen, Eric P. Xing: Bayesian Inference with Posterior Regularization and Infinite Latent Support Vector Machines. CoRR abs/1210.1766 (2012)
i8		Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing: A Spectral Algorithm for Latent Junction Trees. CoRR abs/1210.4884 (2012)
i7		Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing: Mapping the geographical diffusion of new words. CoRR abs/1210.5268 (2012)
i6		Qirong Ho, Rong Yan, Rajat Raina, Eric P. Xing: Understanding the Interaction between Interests, Conversations and Friendships in Facebook. CoRR abs/1211.0028 (2012)
i5		Eric P. Xing, Michael I. Jordan, Stuart J. Russell: A Generalized Mean Field Algorithm for Variational Inference in Exponential Families. CoRR abs/1212.2512 (2012)
i4		André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing: Alternating Directions Dual Decomposition. CoRR abs/1212.6550 (2012)
	2011
j28		Ankur P. Parikh, Wei Wu, Ross E. Curtis, Eric P. Xing: TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages. Bioinformatics [ISMB/ECCB] 27(13): 196-204 (2011)
j27		Suyash Shringarpure, Daegun Won, Eric P. Xing: StructHDP: automatic inference of number of clusters and population structure from admixed genotype data. Bioinformatics [ISMB/ECCB] 27(13): 324-332 (2011)
j26		Ross E. Curtis, Amos Yuen, Le Song, Anuj Goyal, Eric P. Xing: TVNViewer: An interactive visualization tool for exploring networks that change over time or space. Bioinformatics [ISMB/ECCB] 27(13): 1880-1881 (2011)
j25		Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing: Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. Journal of Machine Learning Research - Proceedings Track 15: 101-109 (2011)
j24		Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing: Multiscale Community Blockmodel for Network Exploration. Journal of Machine Learning Research - Proceedings Track 15: 333-341 (2011)
j23		Qirong Ho, Le Song, Eric P. Xing: Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. Journal of Machine Learning Research - Proceedings Track 15: 342-350 (2011)
j22		Mladen Kolar, Eric P. Xing: On Time Varying Undirected Graphs. Journal of Machine Learning Research - Proceedings Track 15: 407-415 (2011)
j21		André Filipe Torres Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo: Online Learning of Structured Predictors with Multiple Kernels. Journal of Machine Learning Research - Proceedings Track 15: 507-515 (2011)
c84		Jacob Eisenstein, Noah A. Smith, Eric P. Xing: Discovering Sociolinguistic Associations with Structured Sparsity. ACL 2011: 1365-1374
c83		Ross E. Curtis, Peter Kinnaird, Eric P. Xing: GenAMap: Visualization strategies for structured association mapping. BioVis 2011: 87-94
c82		Bin Zhao, Xiaoxin Yin, Eric P. Xing: Max margin learning on domain-independent web information extraction. CIKM 2011: 1305-1310
c81		Bin Zhao, Fei-Fei Li, Eric P. Xing: Online detection of unusual events in videos via dynamic sparse coding. CVPR 2011: 3313-3320
c80		Gunhee Kim, Eric P. Xing, Fei-Fei Li, Takeo Kanade: Distributed cosegmentation via submodular optimization on anisotropic diffusion. ICCV 2011: 169-176
c79		André L. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing: An Augmented Lagrangian Approach to Constrained MAP Inference. ICML 2011: 169-176
c78		Jun Zhu, Ning Chen, Eric P. Xing: Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines. ICML 2011: 617-624
c77		Jacob Eisenstein, Amr Ahmed, Eric P. Xing: Sparse Additive Generative Models of Text. ICML 2011: 1041-1048
c76		Ankur P. Parikh, Le Song, Eric P. Xing: A Spectral Algorithm for Latent Tree Graphical Models. ICML 2011: 1065-1072
c75		Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead: Approximating Correlated Equilibria using Relaxations on the Marginal Polytope. ICML 2011: 1153-1160
c74		Eric P. Xing: Genome-Phenome Association Analysis of Complex Diseases a Structured Sparse Regression Approach - (Keynote Talk). ISBRA 2011: 11
c73		Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing: Conditional topical coding: an efficient topic model conditioned on rich features. KDD 2011: 475-483
c72		Bin Zhao, Fei-Fei Li, Eric P. Xing: Large-Scale Category Structure Aware Image Categorization. NIPS 2011: 1251-1259
c71		Jun Zhu, Ning Chen, Eric P. Xing: Infinite Latent SVM for Classification and Multi-task Learning. NIPS 2011: 1620-1628
c70		Le Song, Ankur P. Parikh, Eric P. Xing: Kernel Embeddings of Latent Tree Graphical Models. NIPS 2011: 2708-2716
c69		Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing: Smoothing Proximal Gradient Method for General Structured Sparse Learning. UAI 2011: 105-114
c68		Jun Zhu, Eric P. Xing: Sparse Topical Coding. UAI 2011: 831-838
c67		Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo: Unified analysis of streaming news. WWW 2011: 267-276
i3		Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing: TopicScape: Semantic Navigation of Document Collections. CoRR abs/1110.6200 (2011)
	2010
j20		Kriti Puniyani, Christos Faloutsos, Eric P. Xing: SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images. Bioinformatics [ISMB] 26(12): 47-56 (2010)
j19		Kriti Puniyani, Seyoung Kim, Eric P. Xing: Multi-population GWA mapping via multi-task regularized regression. Bioinformatics [ISMB] 26(12): 208-216 (2010)
j18		Mladen Kolar, Eric P. Xing: Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach. Journal of Machine Learning Research - Proceedings Track 9: 413-420 (2010)
j17		Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy: Structured literature image finder: Parsing text and figures in biomedical literature. J. Web Sem. 8(2-3): 151-154 (2010)
c66		Gunhee Kim, Eric P. Xing, Antonio Torralba: Modeling and Analysis of Dynamic Behaviors of Web Image Collections. ECCV (5) 2010: 85-98
c65		Bin Zhao, Fei-Fei Li, Eric P. Xing: Image Segmentation with Topic Random Field. ECCV (5) 2010: 785-798
c64		André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo: Turbo Parsers: Dependency Parsing by Approximate Variational Inference. EMNLP 2010: 34-44
c63		Amr Ahmed, Eric P. Xing: Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective. EMNLP 2010: 1140-1150
c62		Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing: A Latent Variable Model for Geographic Lexical Variation. EMNLP 2010: 1277-1287
c61		Seyoung Kim, Eric P. Xing: Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity. ICML 2010: 543-550
c60		Mladen Kolar, Ankur P. Parikh, Eric P. Xing: On Sparse Nonparametric Conditional Covariance Selection. ICML 2010: 559-566
c59		Jun Zhu, Eric P. Xing: Conditional Topic Random Fields. ICML 2010: 1239-1246
c58		Jun Zhu, Ni Lao, Eric P. Xing: Grafting-light: fast, incremental feature selection and structure learning of Markov random fields. KDD 2010: 303-312
c57		Ning Chen, Jun Zhu, Eric P. Xing: Predictive Subspace Learning for Multi-view Data: a Large Margin Approach. NIPS 2010: 361-369
c56		Seunghak Lee, Jun Zhu, Eric P. Xing: Adaptive Multi-Task Lasso: with Application to eQTL Detection. NIPS 2010: 1306-1314
c55		Li-Jia Li, Hao Su, Eric P. Xing, Fei-Fei Li: Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. NIPS 2010: 1378-1386
c54		Jun Zhu, Li-Jia Li, Fei-Fei Li, Eric P. Xing: Large Margin Learning of Upstream Scene Understanding Models. NIPS 2010: 2586-2594
c53		Seunghak Lee, Eric P. Xing, Michael Brudno: MoGUL: Detecting Common Insertions and Deletions in a Population. RECOMB 2010: 357-368
c52		Amr Ahmed, Eric P. Xing: Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream. UAI 2010: 20-29
i2		Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, Eric P. Xing: Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso. CoRR abs/1005.3579 (2010)
i1		Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, Eric P. Xing: An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity. CoRR abs/1005.4717 (2010)
	2009
j16		Wenjie Fu, Pradipta Ray, Eric P. Xing: DISCOVER: a feature-based discriminative method for motif search in complex genomes. Bioinformatics 25(12) (2009)
j15		Seyoung Kim, Kyung-Ah Sohn, Eric P. Xing: A multivariate regression approach to association analysis of a quantitative trait network. Bioinformatics 25(12) (2009)
j14		Le Song, Mladen Kolar, Eric P. Xing: KELLER: estimating time-varying interactions between genes. Bioinformatics 25(12) (2009)
j13		Steve Hanneke, Eric P. Xing: Network Completion and Survey Sampling. Journal of Machine Learning Research - Proceedings Track 5: 209-215 (2009)
j12		André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo: Nonextensive Information Theoretic Kernels on Measures. Journal of Machine Learning Research 10: 935-975 (2009)
j11		Jun Zhu, Eric P. Xing: Maximum Entropy Discrimination Markov Networks. Journal of Machine Learning Research 10: 2531-2569 (2009)
c51		André L. Martins, Noah A. Smith, Eric P. Xing: Concise Integer Linear Programming Formulations for Dependency Parsing. ACL/IJCNLP 2009: 342-350
c50		Wenjie Fu, Le Song, Eric P. Xing: Dynamic mixed membership blockmodel for evolving networks. ICML 2009: 42
c49		André F. T. Martins, Noah A. Smith, Eric P. Xing: Polyhedral outer approximations with application to natural language parsing. ICML 2009: 90
c48		Jun Zhu, Amr Ahmed, Eric P. Xing: MedLDA: maximum margin supervised topic models for regression and classification. ICML 2009: 158
c47		Jun Zhu, Eric P. Xing: On primal and dual sparsity of Markov networks. ICML 2009: 159
c46		Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy: Structured correspondence topic models for mining captioned figures in biological literature. KDD 2009: 39-48
c45		Jun Zhu, Eric P. Xing, Bo Zhang: Primal sparse Max-margin Markov networks. KDD 2009: 1047-1056
c44		Mladen Kolar, Le Song, Eric P. Xing: Sparsistent Learning of Varying-coefficient Models with Structural Changes. NIPS 2009: 1006-1014
c43		Le Song, Mladen Kolar, Eric P. Xing: Time-Varying Dynamic Bayesian Networks. NIPS 2009: 1732-1740
c42		Xiaolin Yang, Seyoung Kim, Eric P. Xing: Heterogeneous multitask learning with joint sparsity constraints. NIPS 2009: 2151-2159
	2008
j10		Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead: Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation. Journal of Computational Biology 15(7): 755-766 (2008)
j9		Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing: Mixed Membership Stochastic Blockmodels. Journal of Machine Learning Research 9: 1981-2014 (2008)
j8		Pradipta Ray, Suyash Shringarpure, Mladen Kolar, Eric P. Xing: CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing. PLoS Computational Biology 4(6) (2008)
j7		Fan Guo, Lei Li, Christos Faloutsos, Eric P. Xing: C-DEM: a multi-modal query system for Drosophila Embryo databases. PVLDB 1(2): 1508-1511 (2008)
j6		Jun Yang, Rong Yan, Yan Liu, Eric P. Xing: Harmonium Models for Video Classification. Statistical Analysis and Data Mining 1(1): 23-37 (2008)
c41		Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing: Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. ECCV (3) 2008: 69-82
c40		André F. T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing: Stacking Dependency Parsers. EMNLP 2008: 157-166
c39		André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing: Nonextensive entropic kernels. ICML 2008: 640-647
c38		Suyash Shringarpure, Eric P. Xing: mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations. ICML 2008: 952-959
c37		Jun Zhu, Eric P. Xing, Bo Zhang: Laplace maximum margin Markov networks. ICML 2008: 1256-1263
c36		Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen: Joint latent topic models for text and citations. KDD 2008: 542-550
c35		Edoardo Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing: Mixed Membership Stochastic Blockmodels. NIPS 2008: 33-40
c34		Jun Zhu, Eric P. Xing, Bo Zhang: Partially Observed Maximum Entropy Discrimination Markov Networks. NIPS 2008: 1977-1984
c33		Wei-Hao Lin, Eric P. Xing, Alexander G. Hauptmann: A Joint Topic and Perspective Model for Ideological Discourse. ECML/PKDD (2) 2008: 17-32
c32		Tien-ho Lin, Pradipta Ray, Geir Kjetil Sandve, Selen Uguroglu, Eric P. Xing: BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes. RECOMB 2008: 66-81
c31		Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos: Semi-Supervised Learning Based on Semiparametric Regularization. SDM 2008: 132-142
c30		Amr Ahmed, Eric P. Xing: Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. SDM 2008: 219-230
c29		Seyoung Kim, Eric P. Xing: Feature Selection via Block-Regularized Regression. UAI 2008: 325-332
	2007
j5		Eric P. Xing, Michael I. Jordan, Roded Sharan: Bayesian Haplotype Inference via the Dirichlet Process. Journal of Computational Biology 14(3): 267-284 (2007)
j4		Amr Ahmed, Eric P. Xing: Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model. Journal of Machine Learning Research - Proceedings Track 2: 19-26 (2007)
c28		Lie Gu, Eric P. Xing, Takeo Kanade: Learning GMRF Structures for Spatial Priors. CVPR 2007
c27		Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing: Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. ICDM Workshops 2007: 343-348
c26		Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos: A Max Margin Framework on Image Annotation and Multimodal Image Retrieval. ICME 2007: 504-507
c25		Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing: Recovering temporally rewiring networks: a model-based approach. ICML 2007: 321-328
c24		Eric P. Xing: Probabilistic Graphical Models-Theory, Algorithm, and Application. ICMLA 2007
c23		Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing: Feature selection for grasp recognition from optical markers. IROS 2007: 2944-2950
c22		Kyung-Ah Sohn, Eric P. Xing: Spectrum: joint bayesian inference of population structure and recombination events. ISMB/ECCB (Supplement of Bioinformatics) 2007: 479-489
c21		Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos: Enhanced max margin learning on multimodal data mining in a multimedia database. KDD 2007: 340-349
c20		Bing Zhao, Eric P. Xing: HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation. NIPS 2007
c19		Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing: GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data. RECOMB 2007: 151-165
c18		Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead: Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation. RECOMB 2007: 366-380
c17		Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann: Harmonium Models for Semantic Video Representation and Classification. SDM 2007
	2006
c16		Bing Zhao, Eric P. Xing: BiTAM: Bilingual Topic AdMixture Models for Word Alignment. ACL 2006
c15		Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh: Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. ICML 2006: 1049-1056
c14		Tien-ho Lin, Eugene W. Myers, Eric P. Xing: Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers. ISMB (Supplement of Bioinformatics) 2006: 298-306
c13		Jia-Yu Pan, André G. R. Balan, Eric P. Xing, Agma J. M. Traina, Christos Faloutsos: Automatic mining of fruit fly embryo images. KDD 2006: 693-698
c12		Kyung-Ah Sohn, Eric P. Xing: Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space. NIPS 2006: 1305-1312
	2005
j3		Wei Wu, Eric P. Xing, Connie Myers, I. Saira Mian, Mina J. Bissell: Evaluation of normalization methods for cDNA microarray data by k-NN classification. BMC Bioinformatics 6: 191 (2005)
j2		Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski: Comparison of normalization methods for CodeLink Bioarray data. BMC Bioinformatics 6: 309 (2005)
c11		Yan Liu, Eric P. Xing, Jaime G. Carbonell: Predicting protein folds with structural repeats using a chain graph model. ICML 2005: 513-520
c10		Fan Li, Yiming Yang, Eric P. Xing: From Lasso regression to Feature vector machine. NIPS 2005
c9		Eric P. Xing, Rong Yan, Alexander G. Hauptmann: Mining Associated Text and Images with Dual-Wing Harmoniums. UAI 2005: 633-641
	2004
j1		Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp: Logos: a Modular Bayesian Model for de Novo Motif Detection. J. Bioinformatics and Computational Biology 2(1): 127-154 (2004)
c8		Eric P. Xing, Roded Sharan, Michael I. Jordan: Bayesian haplo-type inference via the dirichlet process. ICML 2004
c7		Eric P. Xing, Michael I. Jordan: Graph Partition Strategies for Generalized Mean Field Inference. UAI 2004: 602-610
	2003
c6		Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp: LOGOS: a modular Bayesian model for de novo motif detection. CSB 2003: 266-276
c5		Eric P. Xing, Michael I. Jordan, Stuart J. Russell: A generalized mean field algorithm for variational inference in exponential families. UAI 2003: 583-591
	2002
c4		Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell: Distance Metric Learning with Application to Clustering with Side-Information. NIPS 2002: 505-512
c3		Eric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart J. Russell: A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. NIPS 2002: 1489-1496
	2001
c2		Eric P. Xing, Michael I. Jordan, Richard M. Karp: Feature selection for high-dimensional genomic microarray data. ICML 2001: 601-608
c1		Eric P. Xing, Richard M. Karp: CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts. ISMB (Supplement of Bioinformatics) 2001: 306-315

Coauthor Index

Colors in the list of coauthors

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