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Hongyuan Zha: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gordon Rios, Hongyuan Zha
    Exploring Support Vector Machines and Random Forests for Spam Detection. [Citation Graph (0, 0)][DBLP]
    CEAS, 2004, pp:- [Conf]
  2. Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
    Bipartite Graph Partitioning and Data Clustering. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:25-32 [Conf]
  3. Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles
    Topic evolution and social interactions: how authors effect research. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:248-257 [Conf]
  4. Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen
    Multi-task text segmentation and alignment based on weighted mutual information. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:846-847 [Conf]
  5. Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun
    Incorporating query difference for learning retrieval functions in world wide web search. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:307-316 [Conf]
  6. Jia Li, Hongyuan Zha
    Simultaneous Classification and Feature Clustering Using Discriminant Vector Quantization with Applications to Microarray Data Analysis. [Citation Graph (0, 0)][DBLP]
    CSB, 2002, pp:246-255 [Conf]
  7. Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rangachar Kasturi
    Local Smoothing for Manifold Learning. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:452-459 [Conf]
  8. Shang-Sheng Tung, Hongyuan Zha, Thomas F. Keefe
    Indexing Management for Distributed Linear Hash Files. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 1996, pp:106-114 [Conf]
  9. Jin Hyeong Park, Hongyuan Zha, Rangachar Kasturi
    Spectral Clustering for Robust Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2004, pp:390-401 [Conf]
  10. Haoying Fu, Hongyuan Zha, Jesse L. Barlow
    Efficient Block Noise Removal Based on Nonlinear Manifolds. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:549-556 [Conf]
  11. Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon
    A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:107-114 [Conf]
  12. Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon
    Adaptive dimension reduction for clustering high dimensional data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:147-154 [Conf]
  13. Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon
    Automatic Topic Identification Using Webpage Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:195-202 [Conf]
  14. Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles
    Boosting the Feature Space: Text Classification for Unstructured Data on the Web. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1064-1069 [Conf]
  15. Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha
    R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:281-288 [Conf]
  16. Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow
    Semi-supervised nonlinear dimensionality reduction. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:1065-1072 [Conf]
  17. Hongyuan Zha, Zhenyue Zhang
    Isometric Embedding and Continuum ISOMAP. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:864-871 [Conf]
  18. Ding Zhou, Jia Li, Hongyuan Zha
    A new Mallows distance based metric for comparing clusterings. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:1028-1035 [Conf]
  19. Jin Hyeong Park, Xiang Ji, Hongyuan Zha, Rangachar Kasturi
    Support Vector Clustering Combined with Spectral Graph Partitioning. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:581-584 [Conf]
  20. Zhenyue Zhang, Hongyuan Zha
    Nonlinear Dimension Reduction via Local Tangent Space Alignment. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:477-481 [Conf]
  21. Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha
    Learning User Clicks in Web Search. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1162-1167 [Conf]
  22. Hongyuan Zha, Osni Marques, Horst D. Simon
    Large-Scale SVD and Subspace-Based Methods for Information Retrieval. [Citation Graph (0, 0)][DBLP]
    IRREGULAR, 1998, pp:29-42 [Conf]
  23. Ya Zhang, Hongyuan Zha, Chao-Hsien Chu
    A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes. [Citation Graph (0, 0)][DBLP]
    ITCC (1), 2005, pp:32-37 [Conf]
  24. Hui Han, C. Lee Giles, Hongyuan Zha, Cheng Li, Kostas Tsioutsiouliklis
    Two supervised learning approaches for name disambiguation in author citations. [Citation Graph (0, 0)][DBLP]
    JCDL, 2004, pp:296-305 [Conf]
  25. Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zha, Zhenyue Zhang, Edward A. Fox
    Automatic Document Metadata Extraction Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    JCDL, 2003, pp:37-48 [Conf]
  26. Hui Han, Hongyuan Zha, C. Lee Giles
    Name disambiguation in author citations using a K-way spectral clustering method. [Citation Graph (0, 0)][DBLP]
    JCDL, 2005, pp:334-343 [Conf]
  27. Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha
    A spectral method to separate disconnected and nearly-disconnected web graph components. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:275-280 [Conf]
  28. Jing Wang, Zhenyue Zhang, Hongyuan Zha
    Adaptive Manifold Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  29. Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
    Spectral Relaxation for K-means Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1057-1064 [Conf]
  30. Zhenyue Zhang, Hongyuan Zha
    A Domain Decomposition Method for Fast Manifold Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  31. Xiang Ji, Hongyuan Zha
    Extracting Shared Topics of Multiple Documents. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:100-110 [Conf]
  32. Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon
    Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:112-124 [Conf]
  33. Xiang Ji, Hongyuan Zha
    Correlating Summarization of A Pair of Multilingual Documents. [Citation Graph (0, 0)][DBLP]
    RIDE, 2003, pp:39-46 [Conf]
  34. Hui Han, Eren Manavoglu, Hongyuan Zha, Kostas Tsioutsiouliklis, C. Lee Giles, Xiangmin Zhang
    Rule-based word clustering for document metadata extraction. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:1049-1053 [Conf]
  35. Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles
    A hierarchical naive Bayes mixture model for name disambiguation in author citations. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:1065-1069 [Conf]
  36. Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon
    PageRank: HITS and a Unified Framework for Link Analysis. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  37. Xiang Ji, Hongyuan Zha
    Multidimensional scaling based sensor positioning algorithms in wireless sensor networks. [Citation Graph (0, 0)][DBLP]
    SenSys, 2003, pp:328-329 [Conf]
  38. Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon
    PageRank, HITS and a unified framework for link analysis. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:353-354 [Conf]
  39. Xiang Ji, Hongyuan Zha
    Domain-independent text segmentation using anisotropic diffusion and dynamic programming. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2003, pp:322-329 [Conf]
  40. Hui Han, Eren Manavoglu, C. Lee Giles, Hongyuan Zha
    Rule-based word clustering for text classification. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2003, pp:445-446 [Conf]
  41. Hongyuan Zha
    Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:113-120 [Conf]
  42. Hongyuan Zha, Xiang Ji
    Correlating multilingual documents via bipartite graph modeling. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:443-444 [Conf]
  43. Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun
    Incorporating query difference for learning retrieval functions in information retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:721-722 [Conf]
  44. Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, Hongyuan Zha
    Probabilistic models for discovering e-communities. [Citation Graph (0, 0)][DBLP]
    WWW, 2006, pp:173-182 [Conf]
  45. Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
    Bipartite graph partitioning and data clustering [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  46. Zhenyue Zhang, Hongyuan Zha
    Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment [Citation Graph (0, 0)][DBLP]
    CoRR, 2002, v:0, n:, pp:- [Journal]
  47. Ya Zhang, Chao-Hsien Chu, Yixin Chen, Hongyuan Zha, Xiang Ji
    Splice site prediction using support vector machines with a Bayes kernel. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:1, pp:73-81 [Journal]
  48. Ya Zhang, Chao-Hsien Chu, Xiang Ji, Hongyuan Zha
    Correlating summarization of multi-source news with k-way graph bi-clustering. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:2, pp:34-42 [Journal]
  49. Xiaofeng He, Hongyuan Zha, Chris H. Q. Ding, Horst D. Simon
    Web document clustering using hyperlink structures. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2002, v:41, n:1, pp:19-45 [Journal]
  50. Jesse L. Barlow, Michael W. Berry, Axel Ruhe, Hongyuan Zha
    Preface. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2002, v:41, n:1, pp:1-2 [Journal]
  51. Jesse L. Barlow, Haesun Park, Patrick J. F. Groenen, Hongyuan Zha
    2nd Special issue on matrix computations and statistics. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2006, v:50, n:1, pp:1-4 [Journal]
  52. Jia Li, Hongyuan Zha
    Two-way Poisson mixture models for simultaneous document classification and word clustering. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2006, v:50, n:1, pp:163-180 [Journal]
  53. Zhenyue Zhang, Hongyuan Zha
    Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment. [Citation Graph (0, 0)][DBLP]
    SIAM J. Scientific Computing, 2004, v:26, n:1, pp:313-338 [Journal]
  54. Xiangmin Jiao, Narasimha R. Bayyana, Hongyuan Zha
    Optimizing Surface Triangulation Via Near Isometry with Reference Meshes. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2007, pp:334-341 [Conf]
  55. Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles
    IKNN: Informative K-Nearest Neighbor Pattern Classification. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:248-264 [Conf]
  56. Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles
    Efficient Multiclass Boosting Classification with Active Learning. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  57. Hyunsoo Kim, Haesun Park, Hongyuan Zha
    Distance Preserving Dimension Reduction for Manifold Learning. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  58. Xin Yang, Sebastien Michea, Hongyuan Zha
    Conical Dimension as an Intrinsic Dimension Estimator and its Applications. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  59. Bingjun Sun, Prasenjit Mitra, C. Lee Giles, John Yen, Hongyuan Zha
    Topic segmentation with shared topic detection and alignment of multiple documents. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:199-206 [Conf]
  60. Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha
    A regression framework for learning ranking functions using relative relevance judgments. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:287-294 [Conf]
  61. Bing Li, Hongyuan Zha, F. Chiaromonte
    Linear Contour Learning: A Method for Supervised Dimension Reduction. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:346-356 [Conf]

  62. Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. [Citation Graph (, )][DBLP]


  63. Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. [Citation Graph (, )][DBLP]


  64. Multi-task learning for learning to rank in web search. [Citation Graph (, )][DBLP]


  65. Spectral methods for semi-supervised manifold learning. [Citation Graph (, )][DBLP]


  66. Adapting ranking functions to user preference. [Citation Graph (, )][DBLP]


  67. Discovering Temporal Communities from Social Network Documents. [Citation Graph (, )][DBLP]


  68. Co-ranking Authors and Documents in a Heterogeneous Network. [Citation Graph (, )][DBLP]


  69. Interpolating fine texturess with fields of experts prior. [Citation Graph (, )][DBLP]


  70. Towards discovering organizational structure from email corpus. [Citation Graph (, )][DBLP]


  71. Learning distance metric for regression by semidefinite programming with application to human age estimation. [Citation Graph (, )][DBLP]


  72. A General Boosting Method and its Application to Learning Ranking Functions for Web Search. [Citation Graph (, )][DBLP]


  73. Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm. [Citation Graph (, )][DBLP]


  74. Metric Learning for Regression Problems and Human Age Estimation. [Citation Graph (, )][DBLP]


  75. Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. [Citation Graph (, )][DBLP]


  76. Learning to rank with ties. [Citation Graph (, )][DBLP]


  77. A scalable assistant librarian: hierarchical subject classification of books. [Citation Graph (, )][DBLP]


  78. Global ranking by exploiting user clicks. [Citation Graph (, )][DBLP]


  79. Consistent computation of first- and second-order differential quantities for surface meshes. [Citation Graph (, )][DBLP]


  80. Finding the right facts in the crowd: factoid question answering over social media. [Citation Graph (, )][DBLP]


  81. Learning multiple graphs for document recommendations. [Citation Graph (, )][DBLP]


  82. Exploring social annotations for information retrieval. [Citation Graph (, )][DBLP]


  83. Enhancing diversity, coverage and balance for summarization through structure learning. [Citation Graph (, )][DBLP]


  84. Learning to recognize reliable users and content in social media with coupled mutual reinforcement. [Citation Graph (, )][DBLP]


  85. Web-scale classification with naive bayes. [Citation Graph (, )][DBLP]


  86. Time is of the essence: improving recency ranking using Twitter data. [Citation Graph (, )][DBLP]


  87. Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM. [Citation Graph (, )][DBLP]


  88. A few bad votes too many?: towards robust ranking in social media. [Citation Graph (, )][DBLP]


  89. Ranking with query-dependent loss for web search. [Citation Graph (, )][DBLP]


  90. A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. [Citation Graph (, )][DBLP]


  91. DAG-guided parallel asynchronous variational integrators with super-elements. [Citation Graph (, )][DBLP]


  92. Learning object classes from image thumbnails through deep neural networks. [Citation Graph (, )][DBLP]


  93. The Social Future of Web Search: Modeling, Exploiting, and Searching Collaboratively Generated Content. [Citation Graph (, )][DBLP]


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