Chris H. Q. Ding

According to our database, Chris H. Q. Ding authored at least 173 papers between 1997 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

SwitchFlow: preemptive multitasking for deep learning.

Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang

Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

Intelligent Machine Learning System for Predicting Customer Churn.

Chenggang He, Chris H. Q. Ding, Sibao Chen, Bin Luo

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder.

Shou-Jiu Xiong, Sibao Chen, Chris H. Q. Ding, Bin Luo

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019

SRAGAN: Generating Colour Landscape Photograph from Sketch.

Sibao Chen, Peng-Cheng Wang, Bin Luo, Chris H. Q. Ding, Jian Zhang

Proceedings of the International Joint Conference on Neural Networks, 2019

Multiple Back Propagation Network and Metric Fusion for Person Re-identification.

Sibao Chen, Feng Luo, Bin Luo, Chris H. Q. Ding, Yi Liu

Proceedings of the International Joint Conference on Neural Networks, 2019

Pyramid Attention Dense Network for Image Super-Resolution.

Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Exercise-Enhanced Sequential Modeling for Student Performance Prediction.

Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Saliency Detection via A Graph Based Diffusion Model.

Zhouqin He, Bo Jiang, Yun Xiao, Chris H. Q. Ding, Bin Luo

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Rank Ordering Constraints Elimination with Application for Kernel Learning.

Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Nonnegative Orthogonal Graph Matching.

Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Robust Out-of-Sample Data Recovery.

Bo Jiang, Chris H. Q. Ding, Bin Luo

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.

Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Accelerating Deep Learning with Shrinkage and Recall.

Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015

A Closed Form Solution to Multi-View Low-Rank Regression.

Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Local Sparse Model for Matching Problem.

Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the Research in Computational Molecular Biology, 2014

Kernel Alignment Inspired Linear Discriminant Analysis.

Shuai Zheng, Chris H. Q. Ding

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Covariate-Correlated Lasso for Feature Selection.

Bo Jiang, Chris H. Q. Ding, Bin Luo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Active Learning for Support Vector Machines with Maximum Model Change.

Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris H. Q. Ding, Xiao Gu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm.

Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding

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.

Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Robust Non-Negative Dictionary Learning.

Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Pairwise-Covariance Linear Discriminant Analysis.

Deguang Kong, Chris H. Q. Ding

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Non-Convex Feature Learning via L_{p, inf} Operator.

Deguang Kong, Chris H. Q. Ding

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Collective Kernel Construction in Noisy Environment.

Chris H. Q. Ding, Deguang Kong, Miao Zhang

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective.

Deguang Kong, Miao Zhang, Chris H. Q. Ding

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.

Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang

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.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the IJCAI 2013, 2013

Early Active Learning via Robust Representation and Structured Sparsity.

Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the IJCAI 2013, 2013

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding.

Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the IJCAI 2013, 2013

Social Trust Prediction Using Rank-k Matrix Recovery.

Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding

Proceedings of the IJCAI 2013, 2013

Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso.

Deguang Kong, Chris H. Q. Ding

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Robust Tucker Tensor Decomposition for Effective Image Representation.

Miao Zhang, Chris H. Q. Ding

Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine.

Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Graph-Laplacian PCA: Closed-Form Solution and Robustness.

Bo Jiang, Chris H. Q. Ding, Bin Luo, Jin Tang

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Probabilistic solutions of influence propagation on social networks.

Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Supervised and Projected Sparse Coding for Image Classification.

Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding

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

Uncorrelated Lasso.

Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie

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

2012

Symmetric Nonnegative Matrix Factorization for Graph Clustering.

Da Kuang, Haesun Park, Chris H. Q. Ding

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.

Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie

Proceedings of the Research in Computational Molecular Biology, 2012

Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the Research in Computational Molecular Biology, 2012

Maximum Consistency Preferential Random Walks.

Deguang Kong, Chris H. Q. Ding

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.

Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie

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.

Quanquan Gu, Tong Zhang, Chris H. Q. Ding, Jiawei Han

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.

Lili Huang, Jin Tang, Sibao Chen, Chris H. Q. Ding, Bin Luo

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

An Iterative Locally Linear Embedding Algorithm.

Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie

Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Kernel Nonnegative Matrix Factorization.

Zhichen Xia, Chris H. Q. Ding, Edmond Chow

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization.

Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Parallelization with Multiplicative Algorithms for Big Data Mining.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A Semi-definite Positive Linear Discriminant Analysis and Its Applications.

Deguang Kong, Chris H. Q. Ding

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

An efficient algorithm for L1-norm principal component analysis.

Linbin Yu, Miao Zhang, Chris H. Q. Ding

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Nonnegative matrix factorization using a robust error function.

Chris H. Q. Ding, Deguang Kong

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph.

Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the Computer Vision - ECCV 2012, 2012

Multi-label ReliefF and F-statistic feature selections for image annotation.

Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Infobox suggestion for Wikipedia entities.

Afroza Sultana, Quazi Mainul Hasan, Ashis Kumer Biswas, Soumyava Das, Habibur Rahman, Chris H. Q. Ding, Chengkai Li

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Robust Integrated Locally Linear Embedding.

Li-li Zhang, Ying Xie, Bin Luo, Chris H. Q. Ding, Jin Tang

Proceedings of the Biometric Recognition - 7th Chinese Conference, 2012

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization.

Feiping Nie, Heng Huang, Chris H. Q. Ding

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Low-order tensor decompositions for social tagging recommendation.

Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy

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.

Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multi-Subspace Representation and Discovery.

Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Graph Evolution via Social Diffusion Processes.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Maximum Margin Multi-Instance Learning.

Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding

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.

Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He

Proceedings of the Knowledge Science, Engineering and Management, 2011

Angular Decomposition.

Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang

Proceedings of the IJCAI 2011, 2011

Robust Principal Component Analysis with Non-Greedy l₁-Norm Maximization.

Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang

Proceedings of the IJCAI 2011, 2011

Cluster Indicator Decomposition for Efficient Matrix Factorization.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the IJCAI 2011, 2011

On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF.

Quanquan Gu, Chris H. Q. Ding, Jiawei Han

Proceedings of the IJCAI 2011, 2011

Cauchy Graph Embedding.

Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang

Proceedings of the 28th International Conference on Machine Learning, 2011

Tensor Fold-in Algorithms for Social Tagging Prediction.

Miao Zhang, Chris H. Q. Ding, Zhifang Liao

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation.

Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Multi-Class L2, 1-Norm Support Vector Machine.

Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Consensus spectral clustering in near-linear time.

Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie

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.

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen

Proceedings of the IEEE International Conference on Computer Vision, 2011

Dyadic transfer learning for cross-domain image classification.

Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding

Proceedings of the IEEE International Conference on Computer Vision, 2011

Unsupervised and semi-supervised learning via ℓ1-norm graph.

Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the IEEE International Conference on Computer Vision, 2011

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval.

Dijun Luo, Heng Huang, Chris H. Q. Ding

Proceedings of the IEEE International Conference on Computer Vision, 2011

Image annotation using bi-relational graph of images and semantic labels.

Hua Wang, Heng Huang, Chris H. Q. Ding

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.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Robust nonnegative matrix factorization using L21-norm.

Deguang Kong, Chris H. Q. Ding, Heng Huang

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.

Chao Shen, Tao Li, Chris H. Q. Ding

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Linear Discriminant Analysis: New Formulations and Overfit Analysis.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Feature subset non-negative matrix factorization and its applications to document understanding.

Dingding Wang, Chris H. Q. Ding, Tao Li

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.

Yuanzhe Cai, Miao Zhang, Chris H. Q. Ding, Sharma Chakravarthy

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.

Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang

Proceedings of the SIAM International Conference on Data Mining, 2010

Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs.

Quanquan Gu, Jie Zhou, Chris H. Q. Ding

Proceedings of the SIAM International Conference on Data Mining, 2010

Directed Graph Learning via High-Order Co-linkage Analysis.

Hua Wang, Chris H. Q. Ding, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.

Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Modeling reliability for wireless sensor node coverage in assistive testbeds.

Zhengyi Le, Eric Becker, Dimitrios G. Konstantinides, Chris H. Q. Ding, Fillia Makedon

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.

Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding

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.

Linbin Yu, Chris H. Q. Ding

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Hierarchical Ensemble Clustering.

Li Zheng, Tao Li, Chris H. Q. Ding

Proceedings of the ICDM 2010, 2010

Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering.

Zhichen Xia, Chris H. Q. Ding

Proceedings of the ICDMW 2010, 2010

Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding.

Dingding Wang, Tao Li, Chris H. Q. Ding

Proceedings of the ICDM 2010, 2010

Towards Structural Sparsity: An Explicit l2/l0 Approach.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the ICDM 2010, 2010

Multi-label Feature Transform for Image Classifications.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the Computer Vision, 2010

Image Categorization Using Directed Graphs.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the Computer Vision, 2010

Multi-label Linear Discriminant Analysis.

Hua Wang, Chris H. Q. Ding, Heng Huang

Proceedings of the Computer Vision - ECCV 2010, 2010

Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.

Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Discriminant Laplacian Embedding.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor.

Hua Wang, Chris H. Q. Ding, Heng Huang

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Knowledge transformation for cross-domain sentiment classification.

Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang

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.

Fei Wang, Chris H. Q. Ding, Tao Li

Proceedings of the SIAM International Conference on Data Mining, 2009

K-Subspace Clustering.

Dingding Wang, Chris H. Q. Ding, Tao Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Consensus group stable feature selection.

Steven Loscalzo, Lei Yu, Chris H. Q. Ding

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.

Chris H. Q. Ding, Tao Li, Dingding Wang

Proceedings of the International Conference on Machine Learning and Applications, 2009

Non-negative Laplacian Embedding.

Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li

Proceedings of the ICDM 2009, 2009

Image annotation using multi-label correlated Green's function.

Hua Wang, Heng Huang, Chris H. Q. Ding

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Symmetric two dimensional linear discriminant analysis (2DLDA).

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization.

Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. Ding

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.

Tao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Posterior probabilistic clustering using NMF.

Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Weighted Consensus Clustering.

Tao Li, Chris H. Q. Ding

Proceedings of the SIAM International Conference on Data Mining, 2008

Stable feature selection via dense feature groups.

Lei Yu, Chris H. Q. Ding, Steven Loscalzo

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.

Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li

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.

Chris H. Q. Ding, Tao Li, Michael I. Jordan

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Robust tensor factorization using R1 norm.

Heng Huang, Chris H. Q. Ding

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.

Chris H. Q. Ding, Heng Huang, Dijun Luo

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.

Chris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Finding Hotspots in Document Collection.

Wei Peng, Chris H. Q. Ding, Tao Li, Tong Sun

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Adaptive dimension reduction using discriminant analysis and <i>K</i>-means clustering.

Chris H. Q. Ding, Tao Li

Proceedings of the Machine Learning, 2007

Binary Matrix Factorization with Applications.

Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiang-Sun Zhang

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization.

Tao Li, Chris H. Q. Ding, Michael I. Jordan

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR.

Yi Zhang, Chris H. Q. Ding, Tao Li

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006

NMF and PLSI: equivalence and a hybrid algorithm.

Chris H. Q. Ding, Tao Li, Wei Peng

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.

Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Supernova Recognition Using Support Vector Machines.

Raquel A. Romano, Cecilia R. Aragon, Chris H. Q. Ding

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

<i>R</i>₁-PCA: rotational invariant <i>L</i>₁-norm principal component analysis for robust subspace factorization.

Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha

Proceedings of the Machine Learning, 2006

The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering.

Tao Li, Chris H. Q. Ding

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Biclustering Protein Complex Interactions with a Biclique Finding Algorithm.

Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook

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.

Chris H. Q. Ding, Tao Li, Wei Peng

Proceedings of the Proceedings, 2006

2005

2-Dimensional Singular Value Decomposition for 2D Maps and Images.

Chris H. Q. Ding, Jieping Ye

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery.

Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook

Proceedings of the Biocomputing 2005, 2005

Cluster Aggregate Inequality and Multi-level Hierarchical Clustering.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Dynamic Cluster Formation Using Level Set Methods.

Andy M. Yip, Chris H. Q. Ding, Tony F. Chan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Probabilistic Approach for Optimizing Spectral Clustering.

Rong Jin, Chris H. Q. Ding, Feng Kang

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.

Chris H. Q. Ding, Xiaofeng He, Hanchuan Peng

Proceedings of the 5th international workshop on Bioinformatics, 2005

Nonnegative Lagrangian Relaxation of <i>K</i>-Means and Spectral Clustering.

Chris H. Q. Ding, Xiaofeng He, Horst D. Simon

Proceedings of the Machine Learning: ECML 2005, 2005

A Multi-Level Approach to SCOP Fold Recognition.

Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding

Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004

Principal Component Analysis and Effective K-Means Clustering.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Cluster Structure of K-means Clustering via Principal Component Analysis.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Integrating Program Component Executables on Distributed Memory Architectures via MPH.

Chris H. Q. Ding, Yun He

Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

<i>K</i>-means clustering via principal component analysis.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the Machine Learning, 2004

Linearized cluster assignment via spectral ordering.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the Machine Learning, 2004

Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli.

Richard F. Meraz, Xiaofeng He, Chris H. Q. Ding, Stephen R. Holbrook

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

Contraction Graphs for Representation and Analysis of RNA Secondary Structure.

Chris H. Q. Ding, Richard F. Meraz, Xiaofeng He, Stephen R. Holbrook

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

PageRank: HITS and a Unified Framework for Link Analysis.

Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon

Proceedings of the Third SIAM International Conference on Data Mining, 2003

Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks.

Chris H. Q. Ding

Proceedings of the IJCAI-03, 2003

Structure Search and Stability Enhancement of Bayesian Networks.

Hanchuan Peng, Chris H. Q. Ding

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Minimum Redundancy Feature Selection from Microarray Gene Expression Data.

Chris H. Q. Ding, Hanchuan Peng

Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2002

An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping.

Yun He, Chris H. Q. Ding

Proceedings of the OpenMP Shared Memory Parallel Programming, 2002

MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multi-dimensional array transposition.

Yun He, Chris H. Q. Ding

Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002

Analysis of gene expression profiles: class discovery and leaf ordering.

Chris H. Q. Ding

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Unsupervised Learning: Self-aggregation in Scaled Principal Component Space.

Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Adaptive dimension reduction for clustering high dimensional data.

Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Cluster merging and splitting in hierarchical clustering algorithms.

Chris H. Q. Ding, Xiaofeng He

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

A ghost cell expansion method for reducing communications in solving PDE problems.

Chris H. Q. Ding, Yun He

Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001

Spectral Relaxation for K-means Clustering.

Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon

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.

Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Automatic Topic Identification Using Webpage Clustering.

Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

A Min-max Cut Algorithm for Graph Partitioning and Data Clustering.

Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Bipartite Graph Partitioning and Data Clustering.

Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon

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.

Yun He, Chris H. Q. Ding

Proceedings of the 14th international conference on Supercomputing, 2000

1999

A Similarity-based Probability Model for Latent Semantic Indexing.

Chris H. Q. Ding

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.

Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu, Karsten Pruess

Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

Data Organization and I/O in a Parallel Ocean Circulation Model.

Chris H. Q. Ding, Yun He

Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

Parallel Algorithms for 1D FFTs on Real Numbers.

Chris H. Q. Ding

Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

1998

Atmosperic Data Assimilation on Distributed-Memory Parallel Supercomputers.

Chris H. Q. Ding, Peter M. Lyster, Jay Walter Larson, Jing Guo, Arlindo M. da Silva

Proceedings of the High-Performance Computing and Networking, 1998

Evaluations of HPF for Practical Scientific Algorithms on T3E.

Chris H. Q. Ding

Proceedings of the High-Performance Computing and Networking, 1998

1997

Parallel Computing at the NASA Data Assimilation Office (DAO).

M. P. Lyster, K. Ekers, Jing Guo, M. Harber, D. Lamich, J. W. Larson, Robert Lucchesi, Richard B. Rood, S. Schubert, William B. Sawyer, Meta Sienkiewicz, Arlindo M. da Silva, J. Stobie, Lawrence Takacs, R. Todling, Jose Zero, Chris H. Q. Ding, Robert D. Ferraro

Proceedings of the ACM/IEEE Conference on Supercomputing, 1997