2009 | ||
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57 | Jun Zhu, Amr Ahmed, Eric P. Xing: MedLDA: maximum margin supervised topic models for regression and classification. ICML 2009: 158 | |
56 | Jun Zhu, Eric P. Xing: On primal and dual sparsity of Markov networks. ICML 2009: 159 | |
55 | Wenjie Fu, Le Song, Eric P. Xing: Dynamic mixed membership blockmodel for evolving networks. ICML 2009: 42 | |
54 | André F. T. Martins, Noah A. Smith, Eric P. Xing: Polyhedral outer approximations with application to natural language parsing. ICML 2009: 90 | |
53 | Jun Zhu, Eric P. Xing, Bo Zhang: Primal sparse Max-margin Markov networks. KDD 2009: 1047-1056 | |
52 | 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 | |
51 | Seyoung Kim, Kyung-Ah Sohn, Eric P. Xing: A multivariate regression approach to association analysis of a quantitative trait network. Bioinformatics 25(12): (2009) | |
50 | Wenjie Fu, Pradipta Ray, Eric P. Xing: DISCOVER: a feature-based discriminative method for motif search in complex genomes. Bioinformatics 25(12): (2009) | |
49 | Le Song, Mladen Kolar, Eric P. Xing: KELLER: estimating time-varying interactions between genes. Bioinformatics 25(12): (2009) | |
2008 | ||
48 | 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 | |
47 | Wei-Hao Lin, Eric P. Xing, Alexander G. Hauptmann: A Joint Topic and Perspective Model for Ideological Discourse. ECML/PKDD (2) 2008: 17-32 | |
46 | André F. T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing: Stacking Dependency Parsers. EMNLP 2008: 157-166 | |
45 | Jun Zhu, Eric P. Xing, Bo Zhang: Laplace maximum margin Markov networks. ICML 2008: 1256-1263 | |
44 | 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 | |
43 | 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 | |
42 | Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen: Joint latent topic models for text and citations. KDD 2008: 542-550 | |
41 | Jun Zhu, Eric P. Xing, Bo Zhang: Partially Observed Maximum Entropy Discrimination Markov Networks. NIPS 2008: 1977-1984 | |
40 | Edoardo Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing: Mixed Membership Stochastic Blockmodels. NIPS 2008: 33-40 | |
39 | 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 | |
38 | Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos: Semi-Supervised Learning Based on Semiparametric Regularization. SDM 2008: 132-142 | |
37 | 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 | |
36 | Seyoung Kim, Eric P. Xing: Feature Selection via Block-Regularized Regression. UAI 2008: 325-332 | |
35 | 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) | |
34 | 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) | |
33 | Jun Yang, Rong Yan, Yan Liu, Eric P. Xing: Harmonium Models for Video Classification. Statistical Analysis and Data Mining 1(1): 23-37 (2008) | |
2007 | ||
32 | Lie Gu, Eric P. Xing, Takeo Kanade: Learning GMRF Structures for Spatial Priors. CVPR 2007 | |
31 | 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 | |
30 | Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos: A Max Margin Framework on Image Annotation and Multimodal Image Retrieval. ICME 2007: 504-507 | |
29 | Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing: Recovering temporally rewiring networks: a model-based approach. ICML 2007: 321-328 | |
28 | Eric P. Xing: Probabilistic Graphical Models-Theory, Algorithm, and Application. ICMLA 2007 | |
27 | Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing: Feature selection for grasp recognition from optical markers. IROS 2007: 2944-2950 | |
26 | Kyung-Ah Sohn, Eric P. Xing: Spectrum: joint bayesian inference of population structure and recombination events. ISMB/ECCB (Supplement of Bioinformatics) 2007: 479-489 | |
25 | 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 | |
24 | Bing Zhao, Eric P. Xing: HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation. NIPS 2007 | |
23 | 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 | |
22 | Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead: Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation. RECOMB 2007: 366-380 | |
21 | Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann: Harmonium Models for Semantic Video Representation and Classification. SDM 2007 | |
20 | Eric P. Xing, Michael I. Jordan, Roded Sharan: Bayesian Haplotype Inference via the Dirichlet Process. Journal of Computational Biology 14(3): 267-284 (2007) | |
2006 | ||
19 | Bing Zhao, Eric P. Xing: BiTAM: Bilingual Topic AdMixture Models for Word Alignment. ACL 2006 | |
18 | 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 | |
17 | 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 | |
16 | 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 | |
15 | Kyung-Ah Sohn, Eric P. Xing: Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space. NIPS 2006: 1305-1312 | |
2005 | ||
14 | Yan Liu, Eric P. Xing, Jaime G. Carbonell: Predicting protein folds with structural repeats using a chain graph model. ICML 2005: 513-520 | |
13 | Fan Li, Yiming Yang, Eric P. Xing: From Lasso regression to Feature vector machine. NIPS 2005 | |
12 | Eric P. Xing, Rong Yan, Alexander G. Hauptmann: Mining Associated Text and Images with Dual-Wing Harmoniums. UAI 2005: 633-641 | |
11 | 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) | |
10 | 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) | |
2004 | ||
9 | Eric P. Xing, Roded Sharan, Michael I. Jordan: Bayesian haplo-type inference via the dirichlet process. ICML 2004 | |
8 | Eric P. Xing, Michael I. Jordan: Graph Partition Strategies for Generalized Mean Field Inference. UAI 2004: 602-610 | |
7 | 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) | |
2003 | ||
6 | 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 | |
5 | 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 | ||
4 | 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 | |
3 | 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 | |
2001 | ||
2 | Eric P. Xing, Michael I. Jordan, Richard M. Karp: Feature selection for high-dimensional genomic microarray data. ICML 2001: 601-608 | |
1 | 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 |