# Chris Ding

According to our database1, Chris Ding authored at least 233 papers between 1993 and 2019.

Collaborative distances:

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In proceedings
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## Bibliography

2019
Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition.
IEEE Trans. Cybernetics, 2019

${R}_1$ -2-DPCA and Face Recognition.
IEEE Trans. Cybernetics, 2019

Sparse classification using Group Matching Pursuit.
Neurocomputing, 2019

2018
Dimension Reduction Techniques for Clustering.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Non-greedy Max-min Large Margin based on L1-norm.
Pattern Recognition Letters, 2018

A Nonnegative Locally Linear KNN model for image recognition.
Pattern Recognition, 2018

Linear regression based projections for dimensionality reduction.
Inf. Sci., 2018

Saliency detection via a multi-layer graph based diffusion model.
Neurocomputing, 2018

Robust data representation using locally linear embedding guided PCA.
Neurocomputing, 2018

A discriminative multi-class feature selection method via weighted l2, 1-norm and Extended Elastic Net.
Neurocomputing, 2018

Transductive Semi-Supervised Deep Learning Using Min-Max Features.
Proceedings of the Computer Vision - ECCV 2018, 2018

Exercise-Enhanced Sequential Modeling for Student Performance Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Active Learning for Classification with Maximum Model Change.
ACM Trans. Inf. Syst., 2017

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Graph Matching via Multiplicative Update Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Saliency Detection via A Graph Based Diffusion Model.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Binary Constraint Preserving Graph Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Rank Ordering Constraints Elimination with Application for Kernel Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Nonnegative Orthogonal Graph Matching.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Robust Out-of-Sample Data Recovery.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Accelerating Deep Learning with Shrinkage and Recall.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015
Similarity Learning of Manifold Data.
IEEE Trans. Cybernetics, 2015

PCA-guided search for K-means.
Pattern Recognition Letters, 2015

Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization.
NetMAHIB, 2015

Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery.
Knowl. Inf. Syst., 2015

An algorithm framework of sparse minimization for positive definite quadratic forms.
Neurocomputing, 2015

eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways.
Bioinformatics, 2015

A Closed Form Solution to Multi-View Low-Rank Regression.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Local Sparse Model for Matching Problem.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Framework for Hierarchical Ensemble Clustering.
TKDD, 2014

Extended linear regression for undersampled face recognition.
J. Visual Communication and Image Representation, 2014

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency.
Proceedings of the Research in Computational Molecular Biology, 2014

Kernel Alignment Inspired Linear Discriminant Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Covariate-Correlated Lasso for Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Active Learning for Support Vector Machines with Maximum Model Change.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Feature Selection at the Discrete Limit.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Robust Non-Negative Dictionary Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Pairwise-Covariance Linear Discriminant Analysis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Non-Convex Feature Learning via L_{p, inf} Operator.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Robust Manifold Nonnegative Matrix Factorization.
TKDD, 2013

Non-negative Tri-factor tensor decomposition with applications.
Knowl. Inf. Syst., 2013

Toward structural sparsity: an explicit ℓ2/ℓ0 approach.
Knowl. Inf. Syst., 2013

Collective Kernel Construction in Noisy Environment.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations.
Proceedings of the IJCAI 2013, 2013

Early Active Learning via Robust Representation and Structured Sparsity.
Proceedings of the IJCAI 2013, 2013

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding.
Proceedings of the IJCAI 2013, 2013

Social Trust Prediction Using Rank-k Matrix Recovery.
Proceedings of the IJCAI 2013, 2013

Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Robust Tucker Tensor Decomposition for Effective Image Representation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Graph-Laplacian PCA: Closed-Form Solution and Robustness.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Probabilistic solutions of influence propagation on social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Supervised and Projected Sparse Coding for Image Classification.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Uncorrelated Lasso.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Nonnegative Matrix Factorizations for Clustering: A Survey.
Data Clustering: Algorithms and Applications, 2013

2012
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Joint stage recognition and anatomical annotation of drosophila gene expression patterns.
Bioinformatics, 2012

Towards a bridge between cost and wealth in risk-aware planning.
Appl. Intell., 2012

Symmetric Nonnegative Matrix Factorization for Graph Clustering.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization.
Proceedings of the Research in Computational Molecular Biology, 2012

Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks.
Proceedings of the Research in Computational Molecular Biology, 2012

Maximum Consistency Preferential Random Walks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Selective Labeling via Error Bound Minimization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

An Efficient Algorithm for Feature Selection with Feature Correlation.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

An Iterative Locally Linear Embedding Algorithm.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Kernel Nonnegative Matrix Factorization.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Parallelization with Multiplicative Algorithms for Big Data Mining.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A Semi-definite Positive Linear Discriminant Analysis and Its Applications.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

An efficient algorithm for L1-norm principal component analysis.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Nonnegative matrix factorization using a robust error function.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph.
Proceedings of the Computer Vision - ECCV 2012, 2012

Multi-label ReliefF and F-statistic feature selections for image annotation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Infobox suggestion for Wikipedia entities.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Robust Integrated Locally Linear Embedding.
Proceedings of the Biometric Recognition - 7th Chinese Conference, 2012

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Community discovery using nonnegative matrix factorization.
Data Min. Knowl. Discov., 2011

Guest editorial: special issue on data mining with matrices, graphs and tensors.
Data Min. Knowl. Discov., 2011

Low-order tensor decompositions for social tagging recommendation.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multi-Subspace Representation and Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Graph Evolution via Social Diffusion Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Maximum Margin Multi-Instance Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Gaussian Process for Recommender Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Angular Decomposition.
Proceedings of the IJCAI 2011, 2011

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization.
Proceedings of the IJCAI 2011, 2011

Cluster Indicator Decomposition for Efficient Matrix Factorization.
Proceedings of the IJCAI 2011, 2011

On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF.
Proceedings of the IJCAI 2011, 2011

Cauchy Graph Embedding.
Proceedings of the 28th International Conference on Machine Learning, 2011

Tensor Fold-in Algorithms for Social Tagging Prediction.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Multi-Class L2, 1-Norm Support Vector Machine.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Consensus spectral clustering in near-linear time.
Proceedings of the 27th International Conference on Data Engineering, 2011

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Dyadic transfer learning for cross-domain image classification.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Unsupervised and semi-supervised learning via ℓ1-norm graph.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Image annotation using bi-relational graph of images and semantic labels.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Robust nonnegative matrix factorization using L21-norm.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Linear Discriminant Analysis: New Formulations and Overfit Analysis.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Convex and Semi-Nonnegative Matrix Factorizations.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

On the eigenvectors of p-Laplacian.
Machine Learning, 2010

Binary matrix factorization for analyzing gene expression data.
Data Min. Knowl. Discov., 2010

Determining modular organization of protein interaction networks by maximizing modularity density.
BMC Systems Biology, 2010

Feature subset non-negative matrix factorization and its applications to document understanding.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Closed form solution of similarity algorithms.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations.
Proceedings of the SIAM International Conference on Data Mining, 2010

Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2010

Directed Graph Learning via High-Order Co-linkage Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Modeling reliability for wireless sensor node coverage in assistive testbeds.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Network community discovery: solving modularity clustering via normalized cut.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Hierarchical Ensemble Clustering.
Proceedings of the ICDM 2010, 2010

Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering.
Proceedings of the ICDMW 2010, 2010

Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding.
Proceedings of the ICDM 2010, 2010

Towards Structural Sparsity: An Explicit l2/l0 Approach.
Proceedings of the ICDM 2010, 2010

Multi-label Feature Transform for Image Classifications.
Proceedings of the Computer Vision, 2010

Image Categorization Using Directed Graphs.
Proceedings of the Computer Vision, 2010

Multi-label Linear Discriminant Analysis.
Proceedings of the Computer Vision - ECCV 2010, 2010

Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Discriminant Laplacian Embedding.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Dimension Reduction Techniques for Clustering.
Proceedings of the Encyclopedia of Database Systems, 2009

KDD2009 workshop report DMMT'09: data mining using matrices and tensors.
SIGKDD Explorations, 2009

Knowledge transformation for cross-domain sentiment classification.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Proceedings of the SIAM International Conference on Data Mining, 2009

K-Subspace Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Consensus group stable feature selection.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Label Propagation on K-partite Graphs.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Non-negative Laplacian Embedding.
Proceedings of the ICDM 2009, 2009

Image annotation using multi-label correlated Green's function.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Symmetric two dimensional linear discriminant analysis (2DLDA).
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
KDD2008 workshop report DMMT'08: data mining using matrices and tensors.
SIGKDD Explorations, 2008

Efficient Parallel I/O in Community Atmosphere Model (CAM).
IJHPCA, 2008

On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing.
Computational Statistics & Data Analysis, 2008

Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Knowledge transformation from word space to document space.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Posterior probabilistic clustering using NMF.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Weighted Consensus Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008

Stable feature selection via dense feature groups.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Robust tensor factorization using R1 norm.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Tensor reduction error analysis - Applications to video compression and classification.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A learning framework using Green's function and kernel regularization with application to recommender system.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Finding Hotspots in Document Collection.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Adaptive dimension reduction using discriminant analysis and K-means clustering.
Proceedings of the Machine Learning, 2007

Binary Matrix Factorization with Applications.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques.
IJDMB, 2006

PSoL: a positive sample only learning algorithm for finding non-coding RNA genes.
Bioinformatics, 2006

NMF and PLSI: equivalence and a hybrid algorithm.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Orthogonal nonnegative matrix t-factorizations for clustering.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Supernova Recognition Using Support Vector Machines.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization.
Proceedings of the Machine Learning, 2006

The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Biclustering Protein Complex Interactions with a Biclique Finding Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method.
Proceedings of the Proceedings, 2006

2005
Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

A probabilistic model for Latent Semantic Indexing.
JASIST, 2005

Term norm distribution and its effects on Latent Semantic Indexing.
Inf. Process. Manage., 2005

Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures.
IJHPCA, 2005

CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model.
IJHPCA, 2005

Evolving Feature Selection.
IEEE Intelligent Systems, 2005

Comparative mapping of sequence-based and structure-based protein domains.
BMC Bioinformatics, 2005

2-Dimensional Singular Value Decomposition for 2D Maps and Images.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery.
Proceedings of the Biocomputing 2005, 2005

Cluster Aggregate Inequality and Multi-level Hierarchical Clustering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Dynamic Cluster Formation Using Level Set Methods.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Probabilistic Approach for Optimizing Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Finding cliques in protein interaction networks via transitive closure of a weighted graph.
Proceedings of the 5th international workshop on Bioinformatics, 2005

Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering.
Proceedings of the Machine Learning: ECML 2005, 2005

A Multi-Level Approach to SCOP Fold Recognition.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004
Link Analysis: Hubs and Authorities on the World Wide Web.
SIAM Review, 2004

Principal Component Analysis and Effective K-Means Clustering.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Cluster Structure of K-means Clustering via Principal Component Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Integrating Program Component Executables on Distributed Memory Architectures via MPH.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

K-means clustering via principal component analysis.
Proceedings of the Machine Learning, 2004

Linearized cluster assignment via spectral ordering.
Proceedings of the Machine Learning, 2004

Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

Contraction Graphs for Representation and Analysis of RNA Secondary Structure.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003
Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis.
Bioinformatics, 2003

PageRank: HITS and a Unified Framework for Link Analysis.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks.
Proceedings of the IJCAI-03, 2003

Structure Search and Stability Enhancement of Bayesian Networks.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Minimum Redundancy Feature Selection from Microarray Gene Expression Data.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Web document clustering using hyperlink structures.
Computational Statistics & Data Analysis, 2002

An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping.
Proceedings of the OpenMP Shared Memory Parallel Programming, 2002

PageRank, HITS and a unified framework for link analysis.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multi-dimensional array transposition.
Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002

Analysis of gene expression profiles: class discovery and leaf ordering.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Unsupervised Learning: Self-aggregation in Scaled Principal Component Space.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Adaptive dimension reduction for clustering high dimensional data.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Cluster merging and splitting in hierarchical clustering algorithms.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures.
IEEE Trans. Parallel Distrib. Syst., 2001

High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow.
The Journal of Supercomputing, 2001

Multi-class protein fold recognition using support vector machines and neural networks.
Bioinformatics, 2001

A ghost cell expansion method for reducing communications in solving PDE problems.
Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001

Spectral Relaxation for K-means Clustering.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A spectral method to separate disconnected and nearly-disconnected web graph components.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Automatic Topic Identification Using Webpage Clustering.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

A Min-max Cut Algorithm for Graph Partitioning and Data Clustering.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Bipartite Graph Partitioning and Data Clustering.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications.
Proceedings of the 14th international conference on Supercomputing, 2000

1999
High Performance Fortran for practical scientific algorithms: An up-to-date evaluation.
Future Generation Comp. Syst., 1999

A Similarity-based Probability Model for Latent Semantic Indexing.
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

A Parallel Implementation of the TOUGH2 Software Package for Large Scale Multiphase Fluid and Heat Flow Simulations.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

Data Organization and I/O in a Parallel Ocean Circulation Model.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

Parallel Algorithms for 1D FFTs on Real Numbers.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

1998
Atmosperic Data Assimilation on Distributed-Memory Parallel Supercomputers.
Proceedings of the High-Performance Computing and Networking, 1998

Evaluations of HPF for Practical Scientific Algorithms on T3E.
Proceedings of the High-Performance Computing and Networking, 1998

1997
Parallel Computing at the NASA Data Assimilation Office (DAO).
Proceedings of the ACM/IEEE Conference on Supercomputing, 1997

1996
Climate Data Assimilation on a Massively Parallel Supercomputer.
Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, 1996

An Element-Based Concurrent Partitioner for Unstructured Finite Element Meshes.
Proceedings of IPPS '96, 1996

1995
A Portable 3D FFT Package for Distributed-Memory Parallel Architectures.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

Slices: A Scalable Partitioner for Finite Element Meshes.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

A General Purpose Sparse Matrix Parallel Solvers Package.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

A general purpose sparse matrix parallel solvers package.
Proceedings of IPPS '95, 1995

1993
Monte Carlo simulations of Quantum systems on massively parallel computers.
Proceedings of the Proceedings Supercomputing '93, 1993