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Eric P. Xing: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bing Zhao, Eric P. Xing
    BiTAM: Bilingual Topic AdMixture Models for Word Alignment. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  2. Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
    LOGOS: a modular Bayesian model for de novo motif detection. [Citation Graph (0, 0)][DBLP]
    CSB, 2003, pp:266-276 [Conf]
  3. Yan Liu, Eric P. Xing, Jaime G. Carbonell
    Predicting protein folds with structural repeats using a chain graph model. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:513-520 [Conf]
  4. Eric P. Xing, Michael I. Jordan, Richard M. Karp
    Feature selection for high-dimensional genomic microarray data. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:601-608 [Conf]
  5. Eric P. Xing, Roded Sharan, Michael I. Jordan
    Bayesian haplo-type inference via the dirichlet process. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  6. Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh
    Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:1049-1056 [Conf]
  7. Tien-ho Lin, Eugene W. Myers, Eric P. Xing
    Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:298-306 [Conf]
  8. Eric P. Xing, Richard M. Karp
    CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:306-315 [Conf]
  9. Jia-Yu Pan, André Guilherme, Ribeiro Balan, Eric P. Xing, Agma J. M. Traina, Christos Faloutsos
    Automatic mining of fruit fly embryo images. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:693-698 [Conf]
  10. Fan Li, Yiming Yang, Eric Xing
    From Lasso regression to Feature vector machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  11. Eric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart J. Russell
    A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1489-1496 [Conf]
  12. Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell
    Distance Metric Learning with Application to Clustering with Side-Information. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:505-512 [Conf]
  13. Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead
    Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2007, pp:366-380 [Conf]
  14. Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
    GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2007, pp:151-165 [Conf]
  15. Eric P. Xing, Michael I. Jordan, Stuart J. Russell
    A generalized mean field algorithm for variational inference in exponential families. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:583-591 [Conf]
  16. Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski
    Comparison of normalization methods for CodeLink Bioarray data. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:309- [Journal]
  17. 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. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:191- [Journal]
  18. Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
    Logos: a Modular Bayesian Model for de Novo Motif Detection. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2004, v:2, n:1, pp:127-154 [Journal]
  19. Lie Gu, Eric P. Xing, Takeo Kanade
    Learning GMRF Structures for Spatial Priors. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  20. Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing
    Recovering temporally rewiring networks: a model-based approach. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:321-328 [Conf]
  21. Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos
    Enhanced max margin learning on multimodal data mining in a multimedia database. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:340-349 [Conf]
  22. Kyung-Ah Sohn, Eric P. Xing
    Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1305-1312 [Conf]
  23. Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann
    Harmonium Models for Semantic Video Representation and Classification. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  24. Eric P. Xing, Rong Yan, Alexander G. Hauptmann
    Mining Associated Text and Images with Dual-Wing Harmoniums. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:633-641 [Conf]
  25. Eric P. Xing, Michael I. Jordan
    Graph Partition Strategies for Generalized Mean Field Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:602-610 [Conf]

  26. Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. [Citation Graph (, )][DBLP]

  27. Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. [Citation Graph (, )][DBLP]

  28. A Max Margin Framework on Image Annotation and Multimodal Image Retrieval. [Citation Graph (, )][DBLP]

  29. Nonextensive entropic kernels. [Citation Graph (, )][DBLP]

  30. Laplace maximum margin Markov networks. [Citation Graph (, )][DBLP]

  31. mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations. [Citation Graph (, )][DBLP]

  32. On primal and dual sparsity of Markov networks. [Citation Graph (, )][DBLP]

  33. Dynamic mixed membership blockmodel for evolving networks. [Citation Graph (, )][DBLP]

  34. MedLDA: maximum margin supervised topic models for regression and classification. [Citation Graph (, )][DBLP]

  35. Polyhedral outer approximations with application to natural language parsing. [Citation Graph (, )][DBLP]

  36. Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity. [Citation Graph (, )][DBLP]

  37. Conditional Topic Random Fields. [Citation Graph (, )][DBLP]

  38. On Sparse Nonparametric Conditional Covariance Selection. [Citation Graph (, )][DBLP]

  39. Probabilistic Graphical Models-Theory, Algorithm, and Application. [Citation Graph (, )][DBLP]

  40. Spectrum: joint bayesian inference of population structure and recombination events. [Citation Graph (, )][DBLP]

  41. Joint latent topic models for text and citations. [Citation Graph (, )][DBLP]

  42. Structured correspondence topic models for mining captioned figures in biological literature. [Citation Graph (, )][DBLP]

  43. Primal sparse Max-margin Markov networks. [Citation Graph (, )][DBLP]

  44. Grafting-light: fast, incremental feature selection and structure learning of Markov random fields. [Citation Graph (, )][DBLP]

  45. HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation. [Citation Graph (, )][DBLP]

  46. Partially Observed Maximum Entropy Discrimination Markov Networks. [Citation Graph (, )][DBLP]

  47. Mixed Membership Stochastic Blockmodels. [Citation Graph (, )][DBLP]

  48. A Joint Topic and Perspective Model for Ideological Discourse. [Citation Graph (, )][DBLP]

  49. BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes. [Citation Graph (, )][DBLP]

  50. Semi-Supervised Learning Based on Semiparametric Regularization. [Citation Graph (, )][DBLP]

  51. Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. [Citation Graph (, )][DBLP]

  52. Feature Selection via Block-Regularized Regression. [Citation Graph (, )][DBLP]

  53. Feature selection for grasp recognition from optical markers. [Citation Graph (, )][DBLP]

  54. Stacking Dependency Parsers. [Citation Graph (, )][DBLP]

  55. A multivariate regression approach to association analysis of a quantitative trait network. [Citation Graph (, )][DBLP]

  56. DISCOVER: a feature-based discriminative method for motif search in complex genomes. [Citation Graph (, )][DBLP]

  57. KELLER: estimating time-varying interactions between genes. [Citation Graph (, )][DBLP]

  58. SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images. [Citation Graph (, )][DBLP]

  59. Multi-population GWA mapping via multi-task regularized regression. [Citation Graph (, )][DBLP]

  60. Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso [Citation Graph (, )][DBLP]

  61. An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity [Citation Graph (, )][DBLP]

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