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Chris H. Q. Ding Vis

Hong Q. Ding

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*2009
90 Chris H. Q. Ding, Tao Li: Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, Paris, France, June 28, 2009 ACM 2009
89EEDingding Wang, Chris H. Q. Ding, Tao Li: K-Subspace Clustering. ECML/PKDD (2) 2009: 506-521
88EESteven Loscalzo, Lei Yu, Chris H. Q. Ding: Consensus group stable feature selection. KDD 2009: 567-576
87EEFei Wang, Chris H. Q. Ding, Tao Li: Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. SDM 2009: 38-48
86EETao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang: Knowledge transformation for cross-domain sentiment classification. SIGIR 2009: 716-717
85EEDijun Luo, Heng Huang, Chris H. Q. Ding: Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms CoRR abs/0902.4521: (2009)
2008
84EEHeng Huang, Chris H. Q. Ding: Robust tensor factorization using R1 norm. CVPR 2008
83EEChris H. Q. Ding, Heng Huang, Dijun Luo: Tensor reduction error analysis - Applications to video compression and classification. CVPR 2008
82EEChris H. Q. Ding, Tao Li, Michael I. Jordan: Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. ICDM 2008: 183-192
81EEHeng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li: Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. KDD 2008: 327-335
80EELei Yu, Chris H. Q. Ding, Steven Loscalzo: Stable feature selection via dense feature groups. KDD 2008: 803-811
79EETao Li, Chris H. Q. Ding: Weighted Consensus Clustering. SDM 2008: 798-809
78EETao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao: Knowledge transformation from word space to document space. SIGIR 2008: 187-194
77EEDingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. Ding: Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. SIGIR 2008: 307-314
76EEChris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng: Posterior probabilistic clustering using NMF. SIGIR 2008: 831-832
75EEChris H. Q. Ding, Tao Li, Wei Peng: On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing. Computational Statistics & Data Analysis 52(8): 3913-3927 (2008)
74EEChris H. Q. Ding, Tao Li, Shenghuo Zhu: KDD2008 workshop report DMMT'08: data mining using matrices and tensors. SIGKDD Explorations 10(2): 54-56 (2008)
2007
73EEYi Zhang, Chris H. Q. Ding, Tao Li: A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. BIBE 2007: 164-171
72EEZhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiangsun Zhang: Binary Matrix Factorization with Applications. ICDM 2007: 391-400
71EETao Li, Chris H. Q. Ding, Michael I. Jordan: Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. ICDM 2007: 577-582
70EEChris H. Q. Ding, Tao Li: Adaptive dimension reduction using discriminant analysis and K-means clustering. ICML 2007: 521-528
69EEWei Peng, Chris H. Q. Ding, Tao Li, Tong Sun: Finding Hotspots in Document Collection. ICTAI (1) 2007: 313-320
68EEChris 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. KDD 2007: 260-269
2006
67 Chris H. Q. Ding, Tao Li, Wei Peng: Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method. AAAI 2006
66EEChris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook: Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. ICDM 2006: 178-187
65EETao Li, Chris H. Q. Ding: The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. ICDM 2006: 362-371
64EEChris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha: R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. ICML 2006: 281-288
63EEChris H. Q. Ding, Tao Li, Wei Peng, Haesun Park: Orthogonal nonnegative matrix t-factorizations for clustering. KDD 2006: 126-135
62EEChris H. Q. Ding, Tao Li, Wei Peng: NMF and PLSI: equivalence and a hybrid algorithm. SIGIR 2006: 641-642
61EEChunlin Wang, Chris H. Q. Ding, Richard F. Meraz, Stephen R. Holbrook: PSoL: a positive sample only learning algorithm for finding non-coding RNA genes. Bioinformatics 22(21): 2590-2596 (2006)
60EEAndy M. Yip, Chris H. Q. Ding, Tony F. Chan: Dynamic Cluster Formation Using Level Set Methods. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 877-889 (2006)
59EEChris H. Q. Ding, Xiaofeng He, Hui Xiong, Hanchuan Peng, Stephen R. Holbrook: Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques. IJDMB 1(2): 162-177 (2006)
2005
58EEKeith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding: A Multi-Level Approach to SCOP Fold Recognition. BIBE 2005: 57-64
57EEChris H. Q. Ding, Xiaofeng He, Horst D. Simon: Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. ECML 2005: 530-538
56EERong Jin, Chris H. Q. Ding, Feng Kang: A Probabilistic Approach for Optimizing Spectral Clustering. NIPS 2005
55EEAndy M. Yip, Chris H. Q. Ding, Tony F. Chan: Dynamic Cluster Formation Using Level Set Methods. PAKDD 2005: 388-398
54EEChris H. Q. Ding, Xiaofeng He: Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. PKDD 2005: 71-83
53EEHui 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. Pacific Symposium on Biocomputing 2005
52 Chris H. Q. Ding, Jieping Ye: 2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005
51 Chris H. Q. Ding, Xiaofeng He: On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. SDM 2005
50EEYa Zhang, John-Marc Chandonia, Chris H. Q. Ding, Stephen R. Holbrook: Comparative mapping of sequence-based and structure-based protein domains. BMC Bioinformatics 6: 77 (2005)
49EEHuan 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. IEEE Intelligent Systems 20(6): 64-76 (2005)
48EEHanchuan Peng, Fuhui Long, Chris H. Q. Ding: Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1226-1238 (2005)
47EEParry Husbands, Horst D. Simon, Chris H. Q. Ding: Term norm distribution and its effects on Latent Semantic Indexing. Inf. Process. Manage. 41(4): 777-787 (2005)
46EEChris H. Q. Ding, Hanchuan Peng: Minimum Redundancy Feature Selection from Microarray Gene Expression Data. J. Bioinformatics and Computational Biology 3(2): 185-206 (2005)
45EEChris H. Q. Ding: A probabilistic model for Latent Semantic Indexing. JASIST 56(6): 597-608 (2005)
2004
44EERichard F. Meraz, Xiaofeng He, Chris H. Q. Ding, Stephen R. Holbrook: Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli. CSB 2004: 535-538
43EEChris H. Q. Ding, Richard F. Meraz, Xiaofeng He, Stephen R. Holbrook: Contraction Graphs for Representation and Analysis of RNA Secondary Structure. CSB 2004: 716-717
42EEChris H. Q. Ding, Xiaofeng He: K-means clustering via principal component analysis. ICML 2004
41EEChris H. Q. Ding, Xiaofeng He: Linearized cluster assignment via spectral ordering. ICML 2004
40EEChris H. Q. Ding, Yun He: Integrating Program Component Executables on Distributed Memory Architectures via MPH. IPDPS 2004
39EEChris H. Q. Ding, Xiaofeng He: Cluster Structure of K-means Clustering via Principal Component Analysis. PAKDD 2004: 414-418
38EEChris H. Q. Ding, Xiaofeng He: K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. SAC 2004: 584-589
37EEChris H. Q. Ding, Xiaofeng He: Principal Component Analysis and Effective K-Means Clustering. SDM 2004
2003
36EEChris H. Q. Ding, Hanchuan Peng: Minimum Redundancy Feature Selection from Microarray Gene Expression Data. CSB 2003: 523-529
35EEHanchuan Peng, Chris H. Q. Ding: Structure Search and Stability Enhancement of Bayesian Networks. ICDM 2003: 621-624
34 Chris H. Q. Ding: Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. IJCAI 2003: 479-484
33EEChris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon: PageRank: HITS and a Unified Framework for Link Analysis. SDM 2003
32 Chris H. Q. Ding: Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis. Bioinformatics 19(10): 1259-1266 (2003)
2002
31EEChris H. Q. Ding, Xiaofeng He: Cluster merging and splitting in hierarchical clustering algorithms. ICDM 2002: 139-146
30EEChris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Adaptive dimension reduction for clustering high dimensional data. ICDM 2002: 147-154
29EEChris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD 2002: 112-124
28EEChris H. Q. Ding: Analysis of gene expression profiles: class discovery and leaf ordering. RECOMB 2002: 127-136
27EEYun He, Chris H. Q. Ding: MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multi-dimensional array transposition. SC 2002: 1-14
26EEChris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon: PageRank, HITS and a unified framework for link analysis. SIGIR 2002: 353-354
25EEYun He, Chris H. Q. Ding: An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. WOMPAT 2002: 195-210
24EEXiaofeng He, Hongyuan Zha, Chris H. Q. Ding, Horst D. Simon: Web document clustering using hyperlink structures. Computational Statistics & Data Analysis 41(1): 19-45 (2002)
2001
23 Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Bipartite Graph Partitioning and Data Clustering. CIKM 2001: 25-32
22EEChris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon: A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. ICDM 2001: 107-114
21EEXiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon: Automatic Topic Identification Using Webpage Clustering. ICDM 2001: 195-202
20EEChris H. Q. Ding, Xiaofeng He, Hongyuan Zha: A spectral method to separate disconnected and nearly-disconnected web graph components. KDD 2001: 275-280
19EEHongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Spectral Relaxation for K-means Clustering. NIPS 2001: 1057-1064
18EEChris H. Q. Ding, Yun He: A ghost cell expansion method for reducing communications in solving PDE problems. SC 2001: 50
17 Chris H. Q. Ding, Inna Dubchak: Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics 17(4): 349-358 (2001)
16EEHongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Bipartite graph partitioning and data clustering CoRR cs.IR/0108018: (2001)
15EEChris H. Q. Ding: An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures. IEEE Trans. Parallel Distrib. Syst. 12(3): 306-315 (2001)
14 Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu: High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow. The Journal of Supercomputing 18(3): 235-258 (2001)
13 Yun He, Chris H. Q. Ding: Using Accurate Arithmetics to Improve Numerical Reproducibility and Stability in Parallel Applications. The Journal of Supercomputing 18(3): 259-277 (2001)
2000
12EEYun He, Chris H. Q. Ding: Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications. ICS 2000: 225-234
1999
11 Chris H. Q. Ding: Parallel Algorithms for 1D FFTs on Real Numbers. PPSC 1999
10EEChris H. Q. Ding: A Similarity-based Probability Model for Latent Semantic Indexing. SIGIR 1999: 58-65
9EEChris H. Q. Ding: High Performance Fortran for practical scientific algorithms: An up-to-date evaluation. Future Generation Comp. Syst. 15(3): 343-352 (1999)
1998
8 Chris H. Q. Ding, Peter M. Lyster, Jay Walter Larson, Jing Guo, Arlindo da Silva: Atmosperic Data Assimilation on Distributed-Memory Parallel Supercomputers. HPCN Europe 1998: 115-124
7 Chris H. Q. Ding: Evaluations of HPF for Practical Scientific Algorithms on T3E. HPCN Europe 1998: 223-232
1996
6EEHong Q. Ding, Robert D. Ferraro: An Element-Based Concurrent Partitioner for Unstructured Finite Element Meshes. IPPS 1996: 601-605
1995
5EEHong Q. Ding, Robert D. Ferraro: A general purpose sparse matrix parallel solvers package. IPPS 1995: 70-76
4 Hong Q. Ding, Robert D. Ferraro: A General Purpose Sparse Matrix Parallel Solvers Package. PPSC 1995: 492-493
3 Hong Q. Ding, Robert D. Ferraro: Slices: A Scalable Partitioner for Finite Element Meshes. PPSC 1995: 633-634
2 Hong Q. Ding, Robert D. Ferraro, Donald B. Gennery: A Portable 3D FFT Package for Distributed-Memory Parallel Architectures. PPSC 1995: 70-71
1993
1EEHong Q. Ding: Monte Carlo simulations of Quantum systems on massively parallel computers. SC 1993: 34-43

Coauthor Index

1Michael E. Berens [49]
2Tony F. Chan [55] [60]
3John-Marc Chandonia [50]
4Edward R. Dougherty [49]
5Inna Dubchak [17]
6Jennifer G. Dy [49]
7Erik Elmroth [14]
8Robert D. Ferraro [2] [3] [4] [5] [6]
9George Forman [49]
10Donald B. Gennery [2]
11Ming Gu [16] [19] [22] [23]
12Jing Guo [8]
13Xiaofeng He [16] [19] [20] [21] [22] [23] [24] [26] [29] [30] [31] [33] [37] [38] [39] [41] [42] [43] [44] [51] [53] [54] [57] [59] [64]
14Yun He [12] [13] [18] [25] [27] [40]
15Stephen R. Holbrook [43] [44] [50] [53] [59] [61] [66]
16Heng Huang [81] [83] [84] [85]
17Parry Husbands [26] [33] [47]
18Rong Jin [56] [68]
19Michael I. Jordan [71] [82]
20Feng Kang [56]
21Vipin Kumar [53]
22Jay Walter Larson [8]
23Tao Li [62] [63] [65] [66] [67] [68] [69] [70] [71] [72] [73] [74] [75] [76] [77] [78] [79] [81] [82] [86] [87] [89] [90]
24Huan Liu [49]
25Fuhui Long [48] [49]
26Steven Loscalzo [80] [88]
27Dijun Luo [76] [81] [83] [85]
28Peter M. Lyster [8]
29Keith Marsolo [58]
30Richard F. Meraz [43] [44] [61]
31Haesun Park [63]
32Lance Parsons [49]
33Srinivasan Parthasarathy [58]
34Hanchuan Peng [35] [36] [46] [48] [49] [59]
35Wei Peng [62] [63] [67] [69] [75] [76]
36Bo Shao [78]
37Arlindo da Silva [8]
38Horst D. Simon [16] [19] [21] [22] [23] [24] [26] [29] [30] [33] [47] [57] [68]
39Vikas Sindhwani [86]
40Tong Sun [69]
41Kari Torkkola [49]
42Eugene Tuv [49]
43Chunlin Wang [61]
44Dingding Wang [77] [89]
45Fei Wang [87]
46Yu-Shu Wu [14]
47Hui Xiong [53] [59]
48Jieping Ye [52]
49Andy M. Yip [55] [60]
50Lei Yu [49] [80] [88]
51Hongyuan Zha [16] [19] [20] [21] [22] [23] [24] [26] [29] [30] [33] [64]
52Xiangsun Zhang [72]
53Ya Zhang [50] [53] [66]
54Yi Zhang [73] [78] [86]
55Zhongyuan Zhang [72]
56Zheng Zhao [49]
57Ding Zhou [64]
58Shenghuo Zhu [74] [77]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)