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Hong Q. Ding
List of publications from the DBLP Bibliography Server - FAQ
| 2012 | ||
|---|---|---|
| 151 | Hua Wang, Heng Huang, Chris H. Q. Ding: Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB 2012: 302-313 | |
| 150 | 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 | |
| 149 | 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) | |
| 2011 | ||
| 148 | 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 | |
| 147 | Dijun Luo, Chris H. Q. Ding, Heng Huang: Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI 2011 | |
| 146 | Dijun Luo, Chris H. Q. Ding, Heng Huang: Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI 2011 | |
| 145 | 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 | |
| 144 | Deguang Kong, Chris H. Q. Ding, Heng Huang: Robust nonnegative matrix factorization using L21-norm. CIKM 2011: 673-682 | |
| 143 | Hua Wang, Heng Huang, Chris H. Q. Ding: Image annotation using bi-relational graph of images and semantic labels. CVPR 2011: 793-800 | |
| 142 | Dijun Luo, Chris H. Q. Ding, Heng Huang: Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) 2011: 390-404 | |
| 141 | Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang: Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420 | |
| 140 | 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 | |
| 139 | Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding: Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV 2011: 2268-2273 | |
| 138 | Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding: Dyadic transfer learning for cross-domain image classification. ICCV 2011: 551-556 | |
| 137 | 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 | |
| 136 | Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie: Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090 | |
| 135 | Miao Zhang, Chris H. Q. Ding, Zhifang Liao: Tensor Fold-in Algorithms for Social Tagging Prediction. ICDM 2011: 1254-1259 | |
| 134 | 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 | |
| 133 | Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding: Multi-Class L2, 1-Norm Support Vector Machine. ICDM 2011: 91-100 | |
| 132 | Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang: Cauchy Graph Embedding. ICML 2011: 553-560 | |
| 131 | Quanquan Gu, Chris H. Q. Ding, Jiawei Han: On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF. IJCAI 2011: 1288-1293 | |
| 130 | Dijun Luo, Chris H. Q. Ding, Heng Huang: Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI 2011: 1384-1389 | |
| 129 | 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 | |
| 128 | Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang: Angular Decomposition. IJCAI 2011: 1505-1510 | |
| 127 | Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He: Gaussian Process for Recommender Systems. KSEM 2011: 56-67 | |
| 126 | Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding: Maximum Margin Multi-Instance Learning. NIPS 2011: 1-9 | |
| 125 | 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 | |
| 124 | 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 | |
| 123 | Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy: Low-order tensor decompositions for social tagging recommendation. WSDM 2011: 695-704 | |
| 122 | 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) | |
| 121 | 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) | |
| 2010 | ||
| 120 | Hua Wang, Heng Huang, Chris H. Q. Ding: Discriminant Laplacian Embedding. AAAI 2010 | |
| 119 | Hua Wang, Chris H. Q. Ding, Heng Huang: Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI 2010 | |
| 118 | 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 | |
| 117 | Hua Wang, Heng Huang, Chris H. Q. Ding: Image Categorization Using Directed Graphs. ECCV (3) 2010: 762-775 | |
| 116 | Hua Wang, Heng Huang, Chris H. Q. Ding: Multi-label Feature Transform for Image Classifications. ECCV (4) 2010: 793-806 | |
| 115 | Hua Wang, Chris H. Q. Ding, Heng Huang: Multi-label Linear Discriminant Analysis. ECCV (6) 2010: 126-139 | |
| 114 | Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang: Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466 | |
| 113 | Hua Wang, Chris H. Q. Ding, Heng Huang: Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) 2010: 451-466 | |
| 112 | Li Zheng, Tao Li, Chris H. Q. Ding: Hierarchical Ensemble Clustering. ICDM 2010: 1199-1204 | |
| 111 | Dijun Luo, Chris H. Q. Ding, Heng Huang: Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM 2010: 344-353 | |
| 110 | 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 | |
| 109 | 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 | |
| 108 | Quanquan Gu, Jie Zhou, Chris H. Q. Ding: Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. SDM 2010: 199-210 | |
| 107 | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang: Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. SDM 2010: 293-302 | |
| 106 | Yuanzhe Cai, Miao Zhang, Chris H. Q. Ding, Sharma Chakravarthy: Closed form solution of similarity algorithms. SIGIR 2010: 709-710 | |
| 105 | Dingding Wang, Chris H. Q. Ding, Tao Li: Feature subset non-negative matrix factorization and its applications to document understanding. SIGIR 2010: 805-806 | |
| 104 | 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) | |
| 103 | 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) | |
| 102 | Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie: On the eigenvectors of p-Laplacian. Machine Learning 81(1): 37-51 (2010) | |
| 2009 | ||
| 101 | 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 | |
| 100 | Dijun Luo, Chris H. Q. Ding, Heng Huang: Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR 2009: 2820-2827 | |
| 99 | Dingding Wang, Chris H. Q. Ding, Tao Li: K-Subspace Clustering. ECML/PKDD (2) 2009: 506-521 | |
| 98 | Hua Wang, Heng Huang, Chris H. Q. Ding: Image annotation using multi-label correlated Green's function. ICCV 2009: 2029-2034 | |
| 97 | Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li: Non-negative Laplacian Embedding. ICDM 2009: 337-346 | |
| 96 | Chris H. Q. Ding, Tao Li, Dingding Wang: Label Propagation on K-partite Graphs. ICMLA 2009: 273-278 | |
| 95 | Steven Loscalzo, Lei Yu, Chris H. Q. Ding: Consensus group stable feature selection. KDD 2009: 567-576 | |
| 94 | 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 | |
| 93 | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang: Knowledge transformation for cross-domain sentiment classification. SIGIR 2009: 716-717 | |
| 92 | Chris H. Q. Ding: Dimension Reduction Techniques for Clustering. Encyclopedia of Database Systems 2009: 846 | |
| 91 | 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) | |
| 90 | Chris H. Q. Ding, Tao Li: KDD2009 workshop report DMMT'09: data mining using matrices and tensors. SIGKDD Explorations 11(2): 77-79 (2009) | |
| 2008 | ||
| 89 | Heng Huang, Chris H. Q. Ding: Robust tensor factorization using R1 norm. CVPR 2008 | |
| 88 | Chris H. Q. Ding, Heng Huang, Dijun Luo: Tensor reduction error analysis - Applications to video compression and classification. CVPR 2008 | |
| 87 | 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 | |
| 86 | 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 | |
| 85 | Lei Yu, Chris H. Q. Ding, Steven Loscalzo: Stable feature selection via dense feature groups. KDD 2008: 803-811 | |
| 84 | Tao Li, Chris H. Q. Ding: Weighted Consensus Clustering. SDM 2008: 798-809 | |
| 83 | Tao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao: Knowledge transformation from word space to document space. SIGIR 2008: 187-194 | |
| 82 | 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 | |
| 81 | Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng: Posterior probabilistic clustering using NMF. SIGIR 2008: 831-832 | |
| 80 | 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) | |
| 79 | Yu-Heng Tseng, Chris H. Q. Ding: Efficient Parallel I/O in Community Atmosphere Model (CAM). IJHPCA 22(2): 206-218 (2008) | |
| 78 | 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 | ||
| 77 | Yi Zhang, Chris H. Q. Ding, Tao Li: A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. BIBE 2007: 164-171 | |
| 76 | Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiangsun Zhang: Binary Matrix Factorization with Applications. ICDM 2007: 391-400 | |
| 75 | Tao Li, Chris H. Q. Ding, Michael I. Jordan: Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. ICDM 2007: 577-582 | |
| 74 | Chris H. Q. Ding, Tao Li: Adaptive dimension reduction using discriminant analysis and K-means clustering. ICML 2007: 521-528 | |
| 73 | Wei Peng, Chris H. Q. Ding, Tao Li, Tong Sun: Finding Hotspots in Document Collection. ICTAI (1) 2007: 313-320 | |
| 72 | 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 | ||
| 71 | 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 | |
| 70 | Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook: Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. ICDM 2006: 178-187 | |
| 69 | Tao Li, Chris H. Q. Ding: The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. ICDM 2006: 362-371 | |
| 68 | 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 | |
| 67 | Raquel A. Romano, Cecilia R. Aragon, Chris H. Q. Ding: Supernova Recognition Using Support Vector Machines. ICMLA 2006: 77-82 | |
| 66 | Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park: Orthogonal nonnegative matrix t-factorizations for clustering. KDD 2006: 126-135 | |
| 65 | Chris H. Q. Ding, Tao Li, Wei Peng: NMF and PLSI: equivalence and a hybrid algorithm. SIGIR 2006: 641-642 | |
| 64 | 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) | |
| 63 | 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) | |
| 62 | 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 | ||
| 61 | Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding: A Multi-Level Approach to SCOP Fold Recognition. BIBE 2005: 57-64 | |
| 60 | Chris H. Q. Ding, Xiaofeng He, Horst D. Simon: Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. ECML 2005: 530-538 | |
| 59 | Rong Jin, Chris H. Q. Ding, Feng Kang: A Probabilistic Approach for Optimizing Spectral Clustering. NIPS 2005 | |
| 58 | Andy M. Yip, Chris H. Q. Ding, Tony F. Chan: Dynamic Cluster Formation Using Level Set Methods. PAKDD 2005: 388-398 | |
| 57 | Chris H. Q. Ding, Xiaofeng He: Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. PKDD 2005: 71-83 | |
| 56 | 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 | |
| 55 | Chris H. Q. Ding, Jieping Ye: 2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005 | |
| 54 | Chris H. Q. Ding, Xiaofeng He: On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. SDM 2005 | |
| 53 | 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) | |
| 52 | 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) | |
| 51 | 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) | |
| 50 | 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) | |
| 49 | Yun He, Chris H. Q. Ding: Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures. IJHPCA 19(3): 329-340 (2005) | |
| 48 | 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) | |
| 47 | 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) | |
| 46 | Chris H. Q. Ding: A probabilistic model for Latent Semantic Indexing. JASIST 56(6): 597-608 (2005) | |
| 2004 | ||
| 45 | 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 | |
| 44 | 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 | |
| 43 | Chris H. Q. Ding, Xiaofeng He: K-means clustering via principal component analysis. ICML 2004 | |
| 42 | Chris H. Q. Ding, Xiaofeng He: Linearized cluster assignment via spectral ordering. ICML 2004 | |
| 41 | Chris H. Q. Ding, Yun He: Integrating Program Component Executables on Distributed Memory Architectures via MPH. IPDPS 2004 | |
| 40 | Chris H. Q. Ding, Xiaofeng He: Cluster Structure of K-means Clustering via Principal Component Analysis. PAKDD 2004: 414-418 | |
| 39 | Chris H. Q. Ding, Xiaofeng He: K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. SAC 2004: 584-589 | |
| 38 | Chris H. Q. Ding, Xiaofeng He: Principal Component Analysis and Effective K-Means Clustering. SDM 2004 | |
| 2003 | ||
| 37 | Chris H. Q. Ding, Hanchuan Peng: Minimum Redundancy Feature Selection from Microarray Gene Expression Data. CSB 2003: 523-529 | |
| 36 | Hanchuan Peng, Chris H. Q. Ding: Structure Search and Stability Enhancement of Bayesian Networks. ICDM 2003: 621-624 | |
| 35 | Chris H. Q. Ding: Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. IJCAI 2003: 479-484 | |
| 34 | Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon: PageRank: HITS and a Unified Framework for Link Analysis. SDM 2003 | |
| 33 | Chris H. Q. Ding: Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis. Bioinformatics 19(10): 1259-1266 (2003) | |
| 2002 | ||
| 32 | Chris H. Q. Ding, Xiaofeng He: Cluster merging and splitting in hierarchical clustering algorithms. ICDM 2002: 139-146 | |
| 31 | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Adaptive dimension reduction for clustering high dimensional data. ICDM 2002: 147-154 | |
| 30 | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD 2002: 112-124 | |
| 29 | Chris H. Q. Ding: Analysis of gene expression profiles: class discovery and leaf ordering. RECOMB 2002: 127-136 | |
| 28 | 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 | |
| 27 | 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 | |
| 26 | Yun He, Chris H. Q. Ding: An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. WOMPAT 2002: 195-210 | |
| 25 | 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) | |
| 24 | 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) | |
| 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 | |
Colors in the list of coauthors
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