Chris H. Q. Ding

Hong Q. Ding

University of Texas at Arlington, Department of Computer Science and Engineering

	2013
j34		Hua Wang, Heng Huang, Chris H. Q. Ding: Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. Journal of Computational Biology 20(4): 322-343 (2013)
j33		Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie: Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. Journal of Computational Biology 20(4): 344-358 (2013)
j32		Zhongyuan Zhang, Tao Li, Chris H. Q. Ding: Non-negative Tri-factor tensor decomposition with applications. Knowl. Inf. Syst. 34(2): 243-265 (2013)
	2012
j31		Yong Lin, Fillia Makedon, Chris H. Q. Ding: Towards a bridge between cost and wealth in risk-aware planning. Appl. Intell. 36(3): 605-616 (2012)
j30		Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding: Joint stage recognition and anatomical annotation of drosophila gene expression patterns. Bioinformatics 28(12): 16-24 (2012)
j29		Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding, Jian Chen: Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(1): 218-233 (2012)
c141		Feiping Nie, Heng Huang, Chris H. Q. Ding: Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI 2012
c140		Li-li Zhang, Ying Xie, Bin Luo, Chris H. Q. Ding, Jin Tang: Robust Integrated Locally Linear Embedding. CCBR 2012: 364-371
c139		Afroza Sultana, Quazi Mainul Hasan, Ashis Kumer Biswas, Soumyava Das, Habibur Rahman, Chris H. Q. Ding, Chengkai Li: Infobox suggestion for Wikipedia entities. CIKM 2012: 2307-2310
c138		Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao: Multi-label ReliefF and F-statistic feature selections for image annotation. CVPR 2012: 2352-2359
c137		Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding: Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. ECCV (6) 2012: 823-836
c136		Linbin Yu, Miao Zhang, Chris H. Q. Ding: An efficient algorithm for L1-norm principal component analysis. ICASSP 2012: 1377-1380
c135		Chris H. Q. Ding, Deguang Kong: Nonnegative matrix factorization using a robust error function. ICASSP 2012: 2033-2036
c134		Dijun Luo, Chris H. Q. Ding, Heng Huang: Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM 2012: 489-498
c133		Zhichen Xia, Chris H. Q. Ding, Edmond Chow: Robust Kernel Nonnegative Matrix Factorization. ICDM Workshops 2012: 522-529
c132		Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding: Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM 2012: 566-574
c131		Deguang Kong, Chris H. Q. Ding: A Semi-definite Positive Linear Discriminant Analysis and Its Applications. ICDM 2012: 942-947
c130		Deguang Kong, Chris H. Q. Ding: An Iterative Locally Linear Embedding Algorithm. ICML 2012
c129		Li-li Huang, Jin Tang, Sibao Chen, Chris H. Q. Ding, Bin Luo: An Efficient Algorithm for Feature Selection with Feature Correlation. IScIDE 2012: 639-646
c128		Quanquan Gu, Tong Zhang, Chris H. Q. Ding, Jiawei Han: Selective Labeling via Error Bound Minimization. NIPS 2012: 332-340
c127		Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie: Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012: 2969-2977
c126		Deguang Kong, Chris H. Q. Ding: Maximum Consistency Preferential Random Walks. ECML/PKDD (2) 2012: 339-354
c125		Hua Wang, Heng Huang, Chris H. Q. Ding: Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB 2012: 302-313
c124		Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie: Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB 2012: 314-325
c123		Da Kuang, Haesun Park, Chris H. Q. Ding: Symmetric Nonnegative Matrix Factorization for Graph Clustering. SDM 2012: 106-117
	2011
j28		Tao Li, Chris H. Q. Ding, Fei Wang: Guest editorial: special issue on data mining with matrices, graphs and tensors. Data Min. Knowl. Discov. 22(3): 337-339 (2011)
j27		Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding: Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. 22(3): 493-521 (2011)
c122		Dijun Luo, Chris H. Q. Ding, Heng Huang: Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI 2011
c121		Dijun Luo, Chris H. Q. Ding, Heng Huang: Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI 2011
c120		Chao Shen, Tao Li, Chris H. Q. Ding: Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases. AAAI 2011
c119		Hua Wang, Heng Huang, Chris H. Q. Ding: Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. CIKM 2011: 279-284
c118		Deguang Kong, Chris H. Q. Ding, Heng Huang: Robust nonnegative matrix factorization using L21-norm. CIKM 2011: 673-682
c117		Hua Wang, Heng Huang, Chris H. Q. Ding: Image annotation using bi-relational graph of images and semantic labels. CVPR 2011: 793-800
c116		Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding: Dyadic transfer learning for cross-domain image classification. ICCV 2011: 551-556
c115		Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen, Adni: Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562
c114		Dijun Luo, Heng Huang, Chris H. Q. Ding: Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV 2011: 1443-1448
c113		Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding: Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV 2011: 2268-2273
c112		Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie: Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090
c111		Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding: Multi-Class L2, 1-Norm Support Vector Machine. ICDM 2011: 91-100
c110		Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding: Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM 2011: 774-783
c109		Miao Zhang, Chris H. Q. Ding, Zhifang Liao: Tensor Fold-in Algorithms for Social Tagging Prediction. ICDM 2011: 1254-1259
c108		Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang: Cauchy Graph Embedding. ICML 2011: 553-560
c107		Quanquan Gu, Chris H. Q. Ding, Jiawei Han: On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF. IJCAI 2011: 1288-1293
c106		Dijun Luo, Chris H. Q. Ding, Heng Huang: Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI 2011: 1384-1389
c105		Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang: Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. IJCAI 2011: 1433-1438
c104		Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang: Angular Decomposition. IJCAI 2011: 1505-1510
c103		Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He: Gaussian Process for Recommender Systems. KSEM 2011: 56-67
c102		Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding: Maximum Margin Multi-Instance Learning. NIPS 2011: 1-9
c101		Dijun Luo, Chris H. Q. Ding, Heng Huang: Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. PAKDD (1) 2011: 148-159
c100		Dijun Luo, Chris H. Q. Ding, Heng Huang: Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) 2011: 390-404
c99		Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang: Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420
c98		Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding: Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR 2011: 933-942
c97		Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy: Low-order tensor decompositions for social tagging recommendation. WSDM 2011: 695-704
	2010
j26		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)
j25		Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie: On the eigenvectors of p-Laplacian. Machine Learning 81(1): 37-51 (2010)
j24		Chris H. Q. Ding, Tao Li, Michael I. Jordan: Convex and Semi-Nonnegative Matrix Factorizations. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 45-55 (2010)
c96		Hua Wang, Chris H. Q. Ding, Heng Huang: Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI 2010
c95		Hua Wang, Heng Huang, Chris H. Q. Ding: Discriminant Laplacian Embedding. AAAI 2010
c94		Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding: Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. CIKM 2010: 1697-1700
c93		Hua Wang, Chris H. Q. Ding, Heng Huang: Multi-label Linear Discriminant Analysis. ECCV (6) 2010: 126-139
c92		Hua Wang, Heng Huang, Chris H. Q. Ding: Image Categorization Using Directed Graphs. ECCV (3) 2010: 762-775
c91		Hua Wang, Heng Huang, Chris H. Q. Ding: Multi-label Feature Transform for Image Classifications. ECCV (4) 2010: 793-806
c90		Dijun Luo, Chris H. Q. Ding, Heng Huang: Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM 2010: 344-353
c89		Dingding Wang, Tao Li, Chris H. Q. Ding: Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding. ICDM 2010: 541-550
c88		Li Zheng, Tao Li, Chris H. Q. Ding: Hierarchical Ensemble Clustering. ICDM 2010: 1199-1204
c87		Zhichen Xia, Chris H. Q. Ding: Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering. ICDM Workshops 2010: 1249-1256
c86		Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding: Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. NIPS 2010: 1813-1821
c85		Zhengyi Le, Eric Becker, Dimitrios G. Konstantinides, Chris H. Q. Ding, Fillia Makedon: Modeling reliability for wireless sensor node coverage in assistive testbeds. PETRA 2010
c84		Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang: Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466
c83		Hua Wang, Chris H. Q. Ding, Heng Huang: Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) 2010: 451-466
c82		Quanquan Gu, Jie Zhou, Chris H. Q. Ding: Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. SDM 2010: 199-210
c81		Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang: Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. SDM 2010: 293-302
c80		Yuanzhe Cai, Miao Zhang, Chris H. Q. Ding, Sharma Chakravarthy: Closed form solution of similarity algorithms. SIGIR 2010: 709-710
c79		Dingding Wang, Chris H. Q. Ding, Tao Li: Feature subset non-negative matrix factorization and its applications to document understanding. SIGIR 2010: 805-806
	2009
j23		Chris H. Q. Ding, Tao Li: KDD2009 workshop report DMMT'09: data mining using matrices and tensors. SIGKDD Explorations 11(2): 77-79 (2009)
c78		Dijun Luo, Chris H. Q. Ding, Heng Huang: Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR 2009: 2820-2827
c77		Hua Wang, Heng Huang, Chris H. Q. Ding: Image annotation using multi-label correlated Green's function. ICCV 2009: 2029-2034
c76		Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li: Non-negative Laplacian Embedding. ICDM 2009: 337-346
c75		Chris H. Q. Ding, Tao Li, Dingding Wang: Label Propagation on K-partite Graphs. ICMLA 2009: 273-278
c74		Steven Loscalzo, Lei Yu, Chris H. Q. Ding: Consensus group stable feature selection. KDD 2009: 567-576
c73		Dingding Wang, Chris H. Q. Ding, Tao Li: K-Subspace Clustering. ECML/PKDD (2) 2009: 506-521
c72		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
c71		Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang: Knowledge transformation for cross-domain sentiment classification. SIGIR 2009: 716-717
r1		Chris H. Q. Ding: Dimension Reduction Techniques for Clustering. Encyclopedia of Database Systems 2009: 846
e1		Chris H. Q. Ding, Tao Li (Eds.): Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, Paris, France, June 28, 2009. ACM 2009, isbn 978-1-60558-673-1
i2		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
j22		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)
j21		Yu-Heng Tseng, Chris H. Q. Ding: Efficient Parallel I/O in Community Atmosphere Model (CAM). IJHPCA 22(2): 206-218 (2008)
j20		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)
c70		Chris H. Q. Ding, Heng Huang, Dijun Luo: Tensor reduction error analysis - Applications to video compression and classification. CVPR 2008
c69		Heng Huang, Chris H. Q. Ding: Robust tensor factorization using R1 norm. CVPR 2008
c68		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
c67		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
c66		Lei Yu, Chris H. Q. Ding, Steven Loscalzo: Stable feature selection via dense feature groups. KDD 2008: 803-811
c65		Tao Li, Chris H. Q. Ding: Weighted Consensus Clustering. SDM 2008: 798-809
c64		Tao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao: Knowledge transformation from word space to document space. SIGIR 2008: 187-194
c63		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
c62		Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng: Posterior probabilistic clustering using NMF. SIGIR 2008: 831-832
	2007
c61		Yi Zhang, Chris H. Q. Ding, Tao Li: A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. BIBE 2007: 164-171
c60		Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiangsun Zhang: Binary Matrix Factorization with Applications. ICDM 2007: 391-400
c59		Tao Li, Chris H. Q. Ding, Michael I. Jordan: Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. ICDM 2007: 577-582
c58		Chris H. Q. Ding, Tao Li: Adaptive dimension reduction using discriminant analysis and K-means clustering. ICML 2007: 521-528
c57		Wei Peng, Chris H. Q. Ding, Tao Li, Tong Sun: Finding Hotspots in Document Collection. ICTAI (1) 2007: 313-320
c56		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
j19		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)
j18		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)
j17		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)
c55		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: 342-347
c54		Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook: Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. ICDM 2006: 178-187
c53		Tao Li, Chris H. Q. Ding: The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. ICDM 2006: 362-371
c52		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
c51		Raquel A. Romano, Cecilia R. Aragon, Chris H. Q. Ding: Supernova Recognition Using Support Vector Machines. ICMLA 2006: 77-82
c50		Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park: Orthogonal nonnegative matrix t-factorizations for clustering. KDD 2006: 126-135
c49		Chris H. Q. Ding, Tao Li, Wei Peng: NMF and PLSI: equivalence and a hybrid algorithm. SIGIR 2006: 641-642
	2005
j16		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)
j15		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)
j14		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)
j13		Yun He, Chris H. Q. Ding: Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures. IJHPCA 19(3): 329-340 (2005)
j12		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)
j11		Chris H. Q. Ding: A probabilistic model for Latent Semantic Indexing. JASIST 56(6): 597-608 (2005)
j10		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)
j9		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)
c48		Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding: A Multi-Level Approach to SCOP Fold Recognition. BIBE 2005: 57-64
c47		Chris H. Q. Ding, Xiaofeng He, Horst D. Simon: Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. ECML 2005: 530-538
c46		Rong Jin, Chris H. Q. Ding, Feng Kang: A Probabilistic Approach for Optimizing Spectral Clustering. NIPS 2005
c45		Andy M. Yip, Chris H. Q. Ding, Tony F. Chan: Dynamic Cluster Formation Using Level Set Methods. PAKDD 2005: 388-398
c44		Chris H. Q. Ding, Xiaofeng He: Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. PKDD 2005: 71-83
c43		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
c42		Chris H. Q. Ding, Xiaofeng He: On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. SDM 2005
c41		Chris H. Q. Ding, Jieping Ye: 2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005
	2004
c40		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
c39		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
c38		Chris H. Q. Ding, Xiaofeng He: Linearized cluster assignment via spectral ordering. ICML 2004
c37		Chris H. Q. Ding, Xiaofeng He: K-means clustering via principal component analysis. ICML 2004
c36		Chris H. Q. Ding, Yun He: Integrating Program Component Executables on Distributed Memory Architectures via MPH. IPDPS 2004
c35		Chris H. Q. Ding, Xiaofeng He: Cluster Structure of K-means Clustering via Principal Component Analysis. PAKDD 2004: 414-418
c34		Chris H. Q. Ding, Xiaofeng He: K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. SAC 2004: 584-589
c33		Chris H. Q. Ding, Xiaofeng He: Principal Component Analysis and Effective K-Means Clustering. SDM 2004
	2003
j8		Chris H. Q. Ding: Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis. Bioinformatics 19(10): 1259-1266 (2003)
c32		Chris H. Q. Ding, Hanchuan Peng: Minimum Redundancy Feature Selection from Microarray Gene Expression Data. CSB 2003: 523-529
c31		Hanchuan Peng, Chris H. Q. Ding: Structure Search and Stability Enhancement of Bayesian Networks. ICDM 2003: 621-624
c30		Chris H. Q. Ding: Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. IJCAI 2003: 479-484
c29		Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon: PageRank: HITS and a Unified Framework for Link Analysis. SDM 2003
	2002
j7		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)
j6		Yun He, Chris H. Q. Ding: MPI and OpenMP Paradigms on Cluster of SMP Architectures: The Vacancy Tracking Algorithm for Multi-Dimensional Array Transposition. Scalable Computing: Practice and Experience 5(2) (2002)
c28		Chris H. Q. Ding, Xiaofeng He: Cluster merging and splitting in hierarchical clustering algorithms. ICDM 2002: 139-146
c27		Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Adaptive dimension reduction for clustering high dimensional data. ICDM 2002: 147-154
c26		Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD 2002: 112-124
c25		Chris H. Q. Ding: Analysis of gene expression profiles: class discovery and leaf ordering. RECOMB 2002: 127-136
c24		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
c23		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
c22		Yun He, Chris H. Q. Ding: An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. WOMPAT 2002: 195-210
	2001
j5		Chris H. Q. Ding, Inna Dubchak: Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics 17(4): 349-358 (2001)
j4		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)
j3		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)
j2		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)
c21		Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Bipartite Graph Partitioning and Data Clustering. CIKM 2001: 25-32
c20		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
c19		Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon: Automatic Topic Identification Using Webpage Clustering. ICDM 2001: 195-202
c18		Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha: A spectral method to separate disconnected and nearly-disconnected web graph components. KDD 2001: 275-280
c17		Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Spectral Relaxation for K-means Clustering. NIPS 2001: 1057-1064
c16		Chris H. Q. Ding, Yun He: A ghost cell expansion method for reducing communications in solving PDE problems. SC 2001: 50
i1		Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon: Bipartite graph partitioning and data clustering. CoRR cs.IR/0108018 (2001)
	2000
c15		Yun He, Chris H. Q. Ding: Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications. ICS 2000: 225-234
	1999
j1		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)
c14		Chris H. Q. Ding: Parallel Algorithms for 1D FFTs on Real Numbers. PPSC 1999
c13		Chris H. Q. Ding, Yun He: Data Organization and I/O in a Parallel Ocean Circulation Model. SC 1999: 33
c12		Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu, Karsten Pruess: A Parallel Implementation of the TOUGH2 Software Package for Large Scale Multiphase Fluid and Heat Flow Simulations. SC 1999: 52
c11		Chris H. Q. Ding: A Similarity-based Probability Model for Latent Semantic Indexing. SIGIR 1999: 58-65
	1998
c10		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
c9		Chris H. Q. Ding: Evaluations of HPF for Practical Scientific Algorithms on T3E. HPCN Europe 1998: 223-232
	1997
c8		M. P. Lyster, K. Ekers, Jing Guo, M. Harber, D. Lamich, J. W. Larson, Robert Lucchesi, Richard Rood, S. Schubert, William Sawyer, M. Sienkiewicz, Arlindo da Silva, J. Stobie, Lawrence Takacs, R. Todling, Jose Zero, Chris H. Q. Ding, Robert D. Ferraro: Parallel Computing at the NASA Data Assimilation Office (DAO). SC 1997: 26
	1996
c7		Hong Q. Ding, Robert D. Ferraro: An Element-Based Concurrent Partitioner for Unstructured Finite Element Meshes. IPPS 1996: 601-605
c6		Hong Q. Ding, Robert D. Ferraro: Climate Data Assimilation on a Massively Parallel Supercomputer. SC 1996: 15
	1995
c5		Hong Q. Ding, Robert D. Ferraro: A general purpose sparse matrix parallel solvers package. IPPS 1995: 70-76
c4		Hong Q. Ding, Robert D. Ferraro, Donald B. Gennery: A Portable 3D FFT Package for Distributed-Memory Parallel Architectures. PPSC 1995: 70-71
c3		Hong Q. Ding, Robert D. Ferraro: A General Purpose Sparse Matrix Parallel Solvers Package. PPSC 1995: 492-493
c2		Hong Q. Ding, Robert D. Ferraro: Slices: A Scalable Partitioner for Finite Element Meshes. PPSC 1995: 633-634
	1993
c1		Hong Q. Ding: Monte Carlo simulations of Quantum systems on massively parallel computers. SC 1993: 34-43

Coauthor Index

Colors in the list of coauthors

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