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Chris H. Q. Ding: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Chris H. Q. Ding
    A Similarity-based Probability Model for Latent Semantic Indexing. [Citation Graph (1, 0)][DBLP]
    SIGIR, 1999, pp:58-65 [Conf]
  2. Chris H. Q. Ding, Tao Li, Wei Peng
    Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding
    A Multi-Level Approach to SCOP Fold Recognition. [Citation Graph (0, 0)][DBLP]
    BIBE, 2005, pp:57-64 [Conf]
  4. 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]
  5. Chris H. Q. Ding, Richard F. Meraz, Xiaofeng He, Stephen R. Holbrook
    Contraction Graphs for Representation and Analysis of RNA Secondary Structure. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:716-717 [Conf]
  6. Chris H. Q. Ding, Hanchuan Peng
    Minimum Redundancy Feature Selection from Microarray Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    CSB, 2003, pp:523-529 [Conf]
  7. Richard F. Meraz, Xiaofeng He, Chris H. Q. Ding, Stephen R. Holbrook
    Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:535-538 [Conf]
  8. Chris H. Q. Ding, Xiaofeng He, Horst D. Simon
    Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:530-538 [Conf]
  9. Chris H. Q. Ding
    Evaluations of HPF for Practical Scientific Algorithms on T3E. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1998, pp:223-232 [Conf]
  10. Chris H. Q. Ding, Peter M. Lyster, Jay Walter Larson, Jing Guo, Arlindo da Silva
    Atmosperic Data Assimilation on Distributed-Memory Parallel Supercomputers. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1998, pp:115-124 [Conf]
  11. Chris H. Q. Ding, Xiaofeng He
    Cluster merging and splitting in hierarchical clustering algorithms. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:139-146 [Conf]
  12. 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]
  13. 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]
  14. 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]
  15. Hanchuan Peng, Chris H. Q. Ding
    Structure Search and Stability Enhancement of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:621-624 [Conf]
  16. Tao Li, Chris H. Q. Ding
    The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:362-371 [Conf]
  17. Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook
    Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:178-187 [Conf]
  18. Chris H. Q. Ding, Xiaofeng He
    Linearized cluster assignment via spectral ordering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  19. Chris H. Q. Ding, Xiaofeng He
    K-means clustering via principal component analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  20. 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]
  21. Yun He, Chris H. Q. Ding
    Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications. [Citation Graph (0, 0)][DBLP]
    ICS, 2000, pp:225-234 [Conf]
  22. Chris H. Q. Ding
    Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:479-484 [Conf]
  23. Chris H. Q. Ding, Yun He
    Integrating Program Component Executables on Distributed Memory Architectures via MPH. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2004, pp:- [Conf]
  24. 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]
  25. Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park
    Orthogonal nonnegative matrix t-factorizations for clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:126-135 [Conf]
  26. Rong Jin, Chris H. Q. Ding, Feng Kang
    A Probabilistic Approach for Optimizing Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  27. 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]
  28. Chris H. Q. Ding, Xiaofeng He
    Cluster Structure of K-means Clustering via Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:414-418 [Conf]
  29. Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
    Dynamic Cluster Formation Using Level Set Methods. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:388-398 [Conf]
  30. Chris H. Q. Ding, Xiaofeng He
    Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:71-83 [Conf]
  31. 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]
  32. Chris H. Q. Ding
    Parallel Algorithms for 1D FFTs on Real Numbers. [Citation Graph (0, 0)][DBLP]
    PPSC, 1999, pp:- [Conf]
  33. Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook
    Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2005, pp:- [Conf]
  34. Chris H. Q. Ding
    Analysis of gene expression profiles: class discovery and leaf ordering. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2002, pp:127-136 [Conf]
  35. Chris H. Q. Ding, Xiaofeng He
    K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. [Citation Graph (0, 0)][DBLP]
    SAC, 2004, pp:584-589 [Conf]
  36. Yun He, Chris H. Q. Ding
    MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multi-dimensional array transposition. [Citation Graph (0, 0)][DBLP]
    SC, 2002, pp:1-14 [Conf]
  37. Chris H. Q. Ding, Yun He
    A ghost cell expansion method for reducing communications in solving PDE problems. [Citation Graph (0, 0)][DBLP]
    SC, 2001, pp:50- [Conf]
  38. Chris H. Q. Ding, Xiaofeng He
    Principal Component Analysis and Effective K-Means Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  39. Chris H. Q. Ding, Xiaofeng He
    On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  40. 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]
  41. Chris H. Q. Ding, Jieping Ye
    2-Dimensional Singular Value Decomposition for 2D Maps and Images. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  42. 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]
  43. Chris H. Q. Ding, Tao Li, Wei Peng
    NMF and PLSI: equivalence and a hybrid algorithm. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:641-642 [Conf]
  44. Yun He, Chris H. Q. Ding
    An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. [Citation Graph (0, 0)][DBLP]
    WOMPAT, 2002, pp:195-210 [Conf]
  45. Chris H. Q. Ding
    Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:10, pp:1259-1266 [Journal]
  46. Chris H. Q. Ding, Inna Dubchak
    Multi-class protein fold recognition using support vector machines and neural networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:4, pp:349-358 [Journal]
  47. Chunlin Wang, Chris H. Q. Ding, Richard F. Meraz, Stephen R. Holbrook
    PSoL: a positive sample only learning algorithm for finding non-coding RNA genes. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:21, pp:2590-2596 [Journal]
  48. Ya Zhang, John-Marc Chandonia, Chris H. Q. Ding, Stephen R. Holbrook
    Comparative mapping of sequence-based and structure-based protein domains. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:77- [Journal]
  49. 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]
  50. Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman
    Evolving Feature Selection. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2005, v:20, n:6, pp:64-76 [Journal]
  51. Parry Husbands, Horst D. Simon, Chris H. Q. Ding
    Term norm distribution and its effects on Latent Semantic Indexing. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2005, v:41, n:4, pp:777-787 [Journal]
  52. Chris H. Q. Ding
    A probabilistic model for Latent Semantic Indexing. [Citation Graph (0, 0)][DBLP]
    JASIST, 2005, v:56, n:6, pp:597-608 [Journal]
  53. Chris H. Q. Ding, Hanchuan Peng
    Minimum Redundancy Feature Selection from Microarray Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2005, v:3, n:2, pp:185-206 [Journal]
  54. Hanchuan Peng, Fuhui Long, Chris H. Q. Ding
    Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:8, pp:1226-1238 [Journal]
  55. Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
    Dynamic Cluster Formation Using Level Set Methods. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:6, pp:877-889 [Journal]
  56. Yun He, Chris H. Q. Ding
    Using Accurate Arithmetics to Improve Numerical Reproducibility and Stability in Parallel Applications. [Citation Graph (0, 0)][DBLP]
    The Journal of Supercomputing, 2001, v:18, n:3, pp:259-277 [Journal]
  57. Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu
    High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow. [Citation Graph (0, 0)][DBLP]
    The Journal of Supercomputing, 2001, v:18, n:3, pp:235-258 [Journal]
  58. Chris H. Q. Ding
    An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 2001, v:12, n:3, pp:306-315 [Journal]
  59. 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]
  60. Chris H. Q. Ding, Tao Li
    Adaptive dimension reduction using discriminant analysis and K-means clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:521-528 [Conf]
  61. Chris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon
    A learning framework using Green's function and kernel regularization with application to recommender system. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:260-269 [Conf]
  62. Chris H. Q. Ding
    High Performance Fortran for practical scientific algorithms: An up-to-date evaluation. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 1999, v:15, n:3, pp:343-352 [Journal]

  63. Discriminant Laplacian Embedding. [Citation Graph (, )][DBLP]


  64. Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. [Citation Graph (, )][DBLP]


  65. A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. [Citation Graph (, )][DBLP]


  66. Tensor reduction error analysis - Applications to video compression and classification. [Citation Graph (, )][DBLP]


  67. Robust tensor factorization using R1 norm. [Citation Graph (, )][DBLP]


  68. Symmetric two dimensional linear discriminant analysis (2DLDA). [Citation Graph (, )][DBLP]


  69. Image Categorization Using Directed Graphs. [Citation Graph (, )][DBLP]


  70. Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. [Citation Graph (, )][DBLP]


  71. Binary Matrix Factorization with Applications. [Citation Graph (, )][DBLP]


  72. Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. [Citation Graph (, )][DBLP]


  73. Non-negative Laplacian Embedding. [Citation Graph (, )][DBLP]


  74. Supernova Recognition Using Support Vector Machines. [Citation Graph (, )][DBLP]


  75. Label Propagation on K-partite Graphs. [Citation Graph (, )][DBLP]


  76. Finding Hotspots in Document Collection. [Citation Graph (, )][DBLP]


  77. Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. [Citation Graph (, )][DBLP]


  78. Stable feature selection via dense feature groups. [Citation Graph (, )][DBLP]


  79. Consensus group stable feature selection. [Citation Graph (, )][DBLP]


  80. K-Subspace Clustering. [Citation Graph (, )][DBLP]


  81. Directed Graph Learning via High-Order Co-linkage Analysis. [Citation Graph (, )][DBLP]


  82. Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. [Citation Graph (, )][DBLP]


  83. Weighted Consensus Clustering. [Citation Graph (, )][DBLP]


  84. Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. [Citation Graph (, )][DBLP]


  85. Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. [Citation Graph (, )][DBLP]


  86. Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. [Citation Graph (, )][DBLP]


  87. Knowledge transformation from word space to document space. [Citation Graph (, )][DBLP]


  88. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. [Citation Graph (, )][DBLP]


  89. Posterior probabilistic clustering using NMF. [Citation Graph (, )][DBLP]


  90. Knowledge transformation for cross-domain sentiment classification. [Citation Graph (, )][DBLP]


  91. Closed form solution of similarity algorithms. [Citation Graph (, )][DBLP]


  92. Feature subset non-negative matrix factorization and its applications to document understanding. [Citation Graph (, )][DBLP]


  93. Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms [Citation Graph (, )][DBLP]


  94. Binary matrix factorization for analyzing gene expression data. [Citation Graph (, )][DBLP]


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