Chris H. Q. Ding

Hong Q. Ding

	2010
95		Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xian-Wen Ren, Xiangsun Zhang: Binary matrix factorization for analyzing gene expression data. Data Min. Knowl. Discov. 20(1): 28-52 (2010)
	2009
94		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
93		Dijun Luo, Chris H. Q. Ding, Heng Huang: Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR 2009: 2820-2827
92		Dingding Wang, Chris H. Q. Ding, Tao Li: K-Subspace Clustering. ECML/PKDD (2) 2009: 506-521
91		Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li: Non-negative Laplacian Embedding. ICDM 2009: 337-346
90		Steven Loscalzo, Lei Yu, Chris H. Q. Ding: Consensus group stable feature selection. KDD 2009: 567-576
89		Fei 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
88		Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang: Knowledge transformation for cross-domain sentiment classification. SIGIR 2009: 716-717
87		Dijun 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
86		Heng Huang, Chris H. Q. Ding: Robust tensor factorization using R1 norm. CVPR 2008
85		Chris H. Q. Ding, Heng Huang, Dijun Luo: Tensor reduction error analysis - Applications to video compression and classification. CVPR 2008
84		Chris 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
83		Heng 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
82		Lei Yu, Chris H. Q. Ding, Steven Loscalzo: Stable feature selection via dense feature groups. KDD 2008: 803-811
81		Tao Li, Chris H. Q. Ding: Weighted Consensus Clustering. SDM 2008: 798-809
80		Tao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao: Knowledge transformation from word space to document space. SIGIR 2008: 187-194
79		Dingding 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
78		Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng: Posterior probabilistic clustering using NMF. SIGIR 2008: 831-832
77		Chris 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)
76		Chris 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
75		Yi Zhang, Chris H. Q. Ding, Tao Li: A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. BIBE 2007: 164-171
74		Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiangsun Zhang: Binary Matrix Factorization with Applications. ICDM 2007: 391-400
73		Tao Li, Chris H. Q. Ding, Michael I. Jordan: Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. ICDM 2007: 577-582
72		Chris H. Q. Ding, Tao Li: Adaptive dimension reduction using discriminant analysis and K-means clustering. ICML 2007: 521-528
71		Wei Peng, Chris H. Q. Ding, Tao Li, Tong Sun: Finding Hotspots in Document Collection. ICTAI (1) 2007: 313-320
70		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. KDD 2007: 260-269
	2006
69		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
68		Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook: Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. ICDM 2006: 178-187
67		Tao Li, Chris H. Q. Ding: The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. ICDM 2006: 362-371
66		Chris 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
65		Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park: Orthogonal nonnegative matrix t-factorizations for clustering. KDD 2006: 126-135
64		Chris H. Q. Ding, Tao Li, Wei Peng: NMF and PLSI: equivalence and a hybrid algorithm. SIGIR 2006: 641-642
63		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. Bioinformatics 22(21): 2590-2596 (2006)
62		Andy 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)
61		Chris 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
60		Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding: A Multi-Level Approach to SCOP Fold Recognition. BIBE 2005: 57-64
59		Chris H. Q. Ding, Xiaofeng He, Horst D. Simon: Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. ECML 2005: 530-538
58		Rong Jin, Chris H. Q. Ding, Feng Kang: A Probabilistic Approach for Optimizing Spectral Clustering. NIPS 2005
57		Andy M. Yip, Chris H. Q. Ding, Tony F. Chan: Dynamic Cluster Formation Using Level Set Methods. PAKDD 2005: 388-398
56		Chris H. Q. Ding, Xiaofeng He: Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. PKDD 2005: 71-83
55		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. Pacific Symposium on Biocomputing 2005
54		Chris H. Q. Ding, Jieping Ye: 2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005
53		Chris H. Q. Ding, Xiaofeng He: On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. SDM 2005
52		Ya 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)
51		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. IEEE Intelligent Systems 20(6): 64-76 (2005)
50		Hanchuan 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)
49		Anthony P. Craig, Robert L. Jacob, Brian Kauffman, Thomas Bettge, Jay Walter Larson, Everest T. Ong, Chris H. Q. Ding, Yun He: CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model. IJHPCA 19(3): 309-327 (2005)
48		Yun He, Chris H. Q. Ding: Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures. IJHPCA 19(3): 329-340 (2005)
47		Parry 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)
46		Chris H. Q. Ding, Hanchuan Peng: Minimum Redundancy Feature Selection from Microarray Gene Expression Data. J. Bioinformatics and Computational Biology 3(2): 185-206 (2005)
45		Chris H. Q. Ding: A probabilistic model for Latent Semantic Indexing. JASIST 56(6): 597-608 (2005)
	2004
44		Richard 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
43		Chris 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
42		Chris H. Q. Ding, Xiaofeng He: K-means clustering via principal component analysis. ICML 2004
41		Chris H. Q. Ding, Xiaofeng He: Linearized cluster assignment via spectral ordering. ICML 2004
40		Chris H. Q. Ding, Yun He: Integrating Program Component Executables on Distributed Memory Architectures via MPH. IPDPS 2004
39		Chris H. Q. Ding, Xiaofeng He: Cluster Structure of K-means Clustering via Principal Component Analysis. PAKDD 2004: 414-418
38		Chris H. Q. Ding, Xiaofeng He: K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. SAC 2004: 584-589
37		Chris H. Q. Ding, Xiaofeng He: Principal Component Analysis and Effective K-Means Clustering. SDM 2004
	2003
36		Chris H. Q. Ding, Hanchuan Peng: Minimum Redundancy Feature Selection from Microarray Gene Expression Data. CSB 2003: 523-529
35		Hanchuan 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
33		Chris 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
31		Chris H. Q. Ding, Xiaofeng He: Cluster merging and splitting in hierarchical clustering algorithms. ICDM 2002: 139-146
30		Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Adaptive dimension reduction for clustering high dimensional data. ICDM 2002: 147-154
29		Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD 2002: 112-124
28		Chris H. Q. Ding: Analysis of gene expression profiles: class discovery and leaf ordering. RECOMB 2002: 127-136
27		Yun 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
26		Chris 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
25		Yun He, Chris H. Q. Ding: An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. WOMPAT 2002: 195-210
24		Xiaofeng 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
22		Chris 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
21		Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon: Automatic Topic Identification Using Webpage Clustering. ICDM 2001: 195-202
20		Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha: A spectral method to separate disconnected and nearly-disconnected web graph components. KDD 2001: 275-280
19		Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Spectral Relaxation for K-means Clustering. NIPS 2001: 1057-1064
18		Chris 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)
16		Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Bipartite graph partitioning and data clustering CoRR cs.IR/0108018: (2001)
15		Chris 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
12		Yun 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
10		Chris H. Q. Ding: A Similarity-based Probability Model for Latent Semantic Indexing. SIGIR 1999: 58-65
9		Chris 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
6		Hong Q. Ding, Robert D. Ferraro: An Element-Based Concurrent Partitioner for Unstructured Finite Element Meshes. IPPS 1996: 601-605
	1995
5		Hong 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
1		Hong Q. Ding: Monte Carlo simulations of Quantum systems on massively parallel computers. SC 1993: 34-43

Coauthor Index

1	Michael E. Berens	[51]
2	Thomas Bettge	[49]
3	Tony F. Chan	[57] [62]
4	John-Marc Chandonia	[52]
5	Anthony P. Craig	[49]
6	Edward R. Dougherty	[51]
7	Inna Dubchak	[17]
8	Jennifer G. Dy	[51]
9	Erik Elmroth	[14]
10	Robert D. Ferraro	[2] [3] [4] [5] [6]
11	George Forman	[51]
12	Donald B. Gennery	[2]
13	Ming Gu	[16] [19] [22] [23]
14	Jing Guo	[8]
15	Xiaofeng He	[16] [19] [20] [21] [22] [23] [24] [26] [29] [30] [31] [33] [37] [38] [39] [41] [42] [43] [44] [53] [55] [56] [59] [61] [66]
16	Yun He	[12] [13] [18] [25] [27] [40] [48] [49]
17	Stephen R. Holbrook	[43] [44] [52] [55] [61] [63] [68]
18	Heng Huang	[83] [85] [86] [87] [91] [93]
19	Parry Husbands	[26] [33] [47]
20	Robert L. Jacob	[49]
21	Rong Jin	[58] [70]
22	Michael I. Jordan	[73] [84]
23	Feng Kang	[58]
24	Brian Kauffman	[49]
25	Vipin Kumar	[55]
26	Jay Walter Larson	[8] [49]
27	Tao Li	[64] [65] [67] [68] [69] [70] [71] [72] [73] [74] [75] [76] [77] [78] [79] [80] [81] [83] [84] [88] [89] [91] [92] [94] [95]
28	Huan Liu	[51]
29	Fuhui Long	[50] [51]
30	Steven Loscalzo	[82] [90]
31	Dijun Luo	[78] [83] [85] [87] [91] [93]
32	Peter M. Lyster	[8]
33	Keith Marsolo	[60]
34	Richard F. Meraz	[43] [44] [63]
35	Everest T. Ong	[49]
36	Haesun Park	[65]
37	Lance Parsons	[51]
38	Srinivasan Parthasarathy	[60]
39	Hanchuan Peng	[35] [36] [46] [50] [51] [61]
40	Wei Peng	[64] [65] [69] [71] [77] [78]
41	Xian-Wen Ren	[95]
42	Bo Shao	[80]
43	Arlindo da Silva	[8]
44	Horst D. Simon	[16] [19] [21] [22] [23] [24] [26] [29] [30] [33] [47] [59] [70]
45	Vikas Sindhwani	[88]
46	Tong Sun	[71]
47	Kari Torkkola	[51]
48	Eugene Tuv	[51]
49	Chunlin Wang	[63]
50	Dingding Wang	[79] [92]
51	Fei Wang	[89]
52	Yu-Shu Wu	[14]
53	Hui Xiong	[55] [61]
54	Jieping Ye	[54]
55	Andy M. Yip	[57] [62]
56	Lei Yu	[51] [82] [90]
57	Hongyuan Zha	[16] [19] [20] [21] [22] [23] [24] [26] [29] [30] [33] [66]
58	Xiangsun Zhang	[74] [95]
59	Ya Zhang	[52] [55] [68]
60	Yi Zhang	[75] [80] [88]
61	Zhongyuan Zhang	[74] [95]
62	Zheng Zhao	[51]
63	Ding Zhou	[66]
64	Shenghuo Zhu	[76] [79]

Colors in the list of coauthors