Monte Carlo simulations of Quantum systems on massively parallel computers. - Hong Q. Ding (SC, 1993)

A general purpose sparse matrix parallel solvers package. - Hong Q. Ding; Robert D. Ferraro (IPPS, 1995)

Slices: A Scalable Partitioner for Finite Element Meshes. - Hong Q. Ding; Robert D. Ferraro (PP, 1995)

A Portable 3D FFT Package for Distributed-Memory Parallel Architectures. - Hong Q. Ding; Robert D. Ferraro; Donald B. Gennery (PP, 1995)

An Element-Based Concurrent Partitioner for Unstructured Finite Element Meshes. - Hong Q. Ding; Robert D. Ferraro (IPPS, 1996)

Climate Data Assimilation on a Massively Parallel Supercomputer. - Hong Q. Ding; Robert D. Ferraro (SC, 1996)

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; et al. (SC, 1997)

Evaluations of HPF for Practical Scientific Algorithms on T3E. - Chris H. Q. Ding (HPCN Europe, 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 (HPCN Europe, 1998)

Parallel Algorithms for 1D FFTs on Real Numbers. - Chris H. Q. Ding (PP, 1999)

Data Organization and I/O in a Parallel Ocean Circulation Model. - Chris H. Q. Ding; Yun He 002 (SC, 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 (SC, 1999)

A Similarity-based Probability Model for Latent Semantic Indexing. - Chris H. Q. Ding (SIGIR, 1999)

High Performance Fortran for practical scientific algorithms: An up-to-date evaluation. - Chris H. Q. Ding (Future Gener. Comput. Syst., 1999)

Bipartite Graph Partitioning and Data Clustering. - Hongyuan Zha; Xiaofeng He; Chris H. Q. Ding; Ming Gu 002; Horst D. Simon (CIKM, 2001)

A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. - Chris H. Q. Ding; Xiaofeng He; Hongyuan Zha; Ming Gu 002; Horst D. Simon (ICDM, 2001)

Automatic Topic Identification Using Webpage Clustering. - Xiaofeng He; Chris H. Q. Ding; Hongyuan Zha; Horst D. Simon (ICDM, 2001)

A spectral method to separate disconnected and nearly-disconnected web graph components. - Chris H. Q. Ding; Xiaofeng He; Hongyuan Zha (KDD, 2001)

Spectral Relaxation for K-means Clustering. - Hongyuan Zha; Xiaofeng He; Chris H. Q. Ding; Ming Gu 002; Horst D. Simon (NIPS, 2001)

A ghost cell expansion method for reducing communications in solving PDE problems. - Chris H. Q. Ding; Yun He 002 (SC, 2001)

Multi-class protein fold recognition using support vector machines and neural networks. - Chris H. Q. Ding; Inna Dubchak (Bioinform., 2001)

High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow. - Erik Elmroth; Chris H. Q. Ding; Yu-Shu Wu (J. Supercomput., 2001)

Using Accurate Arithmetics to Improve Numerical Reproducibility and Stability in Parallel Applications. - Yun He 002; Chris H. Q. Ding (J. Supercomput., 2001)

An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures. - Chris H. Q. Ding (IEEE Trans. Parallel Distributed Syst., 2001)

Cluster merging and splitting in hierarchical clustering algorithms. - Chris H. Q. Ding; Xiaofeng He (ICDM, 2002)

Adaptive dimension reduction for clustering high dimensional data. - Chris H. Q. Ding; Xiaofeng He; Hongyuan Zha; Horst D. Simon (ICDM, 2002)

Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. - Chris H. Q. Ding; Xiaofeng He; Hongyuan Zha; Horst D. Simon (PKDD, 2002)

Analysis of gene expression profiles: class discovery and leaf ordering. - Chris H. Q. Ding (RECOMB, 2002)

PageRank, HITS and a unified framework for link analysis. - Chris H. Q. Ding; Xiaofeng He; Parry Husbands; Hongyuan Zha; Horst D. Simon (SIGIR, 2002)

An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. - Yun He 002; Chris H. Q. Ding (WOMPAT, 2002)

Web document clustering using hyperlink structures. - Xiaofeng He; Hongyuan Zha; Chris H. Q. Ding; Horst D. Simon (Comput. Stat. Data Anal., 2002)

MPI and OpenMP Paradigms on Cluster of SMP Architectures: The Vacancy Tracking Algorithm for Multi-Dimensional Array Transposition. - Yun He 002; Chris H. Q. Ding (Parallel Distributed Comput. Pract., 2002)

Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks. - Chris Ding (AISTATS, 2003)

Structure Search and Stability Enhancement of Bayesian Networks. - Hanchuan Peng; Chris H. Q. Ding (ICDM, 2003)

Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. - Chris H. Q. Ding (IJCAI, 2003)

Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis. - Chris H. Q. Ding (Bioinform., 2003)

Contraction Graphs for Representation and Analysis of RNA Secondary Structure. - Chris H. Q. Ding; Richard F. Meraz; Xiaofeng He; Stephen R. Holbrook (CSB, 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 (CSB, 2004)

Linearized cluster assignment via spectral ordering. - Chris H. Q. Ding; Xiaofeng He (ICML, 2004)

K-means clustering via principal component analysis. - Chris H. Q. Ding; Xiaofeng He (ICML, 2004)

Integrating Program Component Executables on Distributed Memory Architectures via MPH. - Chris H. Q. Ding; Yun He 002 (IPDPS, 2004)

Cluster Structure of K-means Clustering via Principal Component Analysis. - Chris H. Q. Ding; Xiaofeng He (PAKDD, 2004)

K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. - Chris H. Q. Ding; Xiaofeng He (SAC, 2004)

Principal Component Analysis and Effective K-Means Clustering. - Chris H. Q. Ding; Xiaofeng He (SDM, 2004)

Link Analysis: Hubs and Authorities on the World Wide Web. - Chris H. Q. Ding; Hongyuan Zha; Xiaofeng He; Parry Husbands; Horst D. Simon (SIAM Rev., 2004)

A Multi-Level Approach to SCOP Fold Recognition. - Keith Marsolo; Srinivasan Parthasarathy 001; Chris H. Q. Ding (BIBE, 2005)

Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. - Chris H. Q. Ding; Xiaofeng He; Horst D. Simon (ECML, 2005)

Finding cliques in protein interaction networks via transitive closure of a weighted graph. - Chris H. Q. Ding; Xiaofeng He; Hanchuan Peng (BIOKDD, 2005)

A Probabilistic Approach for Optimizing Spectral Clustering. - Rong Jin 001; Chris H. Q. Ding; Feng Kang (NIPS, 2005)

Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. - Chris H. Q. Ding; Xiaofeng He (PKDD, 2005)

Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. - Hui Xiong 001; Xiaofeng He; Chris H. Q. Ding; Ya Zhang 002; Vipin Kumar 001; Stephen R. Holbrook (Pacific Symposium on Biocomputing, 2005)

On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. - Chris H. Q. Ding; Xiaofeng He (SDM, 2005)

2-Dimensional Singular Value Decomposition for 2D Maps and Images. - Chris H. Q. Ding; Jieping Ye (SDM, 2005)

Comparative mapping of sequence-based and structure-based protein domains. - Ya Zhang 002; John-Marc Chandonia; Chris H. Q. Ding; Stephen R. Holbrook (BMC Bioinform., 2005)

Evolving Feature Selection. - Huan Liu 001; 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 002; Lei Yu 001; et al. (IEEE Intell. Syst., 2005)

CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model. - Anthony P. Craig; Robert L. Jacob; Brian Kauffman; Thomas Bettge; Jay Walter Larson; Everest T. Ong; Chris H. Q. Ding; Yun He 002 (Int. J. High Perform. Comput. Appl., 2005)

Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures. - Yun He 002; Chris H. Q. Ding (Int. J. High Perform. Comput. Appl., 2005)

Term norm distribution and its effects on Latent Semantic Indexing. - Parry Husbands; Horst D. Simon; Chris H. Q. Ding (Inf. Process. Manag., 2005)

A probabilistic model for Latent Semantic Indexing. - Chris H. Q. Ding (J. Assoc. Inf. Sci. Technol., 2005)

Minimum Redundancy Feature Selection from Microarray Gene Expression Data. - Chris H. Q. Ding; Hanchuan Peng (J. Bioinform. Comput. Biol., 2005)

Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy. - Hanchuan Peng; Fuhui Long; Chris H. Q. Ding (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method. - Chris H. Q. Ding; Tao Li 001; Wei Peng 001 (AAAI, 2006)

Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. - Chris H. Q. Ding; Ya Zhang 002; Tao Li 001; Stephen R. Holbrook (ICDM, 2006)

The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. - Tao Li 001; Chris H. Q. Ding (ICDM, 2006)

R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. - Chris H. Q. Ding; Ding Zhou; Xiaofeng He; Hongyuan Zha (ICML, 2006)

Supernova Recognition Using Support Vector Machines. - Raquel A. Romano; Cecilia R. Aragon; Chris H. Q. Ding (ICMLA, 2006)

Orthogonal nonnegative matrix t-factorizations for clustering. - Chris H. Q. Ding; Tao Li 001; Wei Peng 001; Haesun Park (KDD, 2006)

NMF and PLSI: equivalence and a hybrid algorithm. - Chris H. Q. Ding; Tao Li 001; Wei Peng 001 (SIGIR, 2006)

PSoL: a positive sample only learning algorithm for finding non-coding RNA genes. - Chunlin Wang; Chris H. Q. Ding; Richard F. Meraz; Stephen R. Holbrook (Bioinform., 2006)

Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques. - Chris H. Q. Ding; Xiaofeng He; Hui Xiong 001; Hanchuan Peng; Stephen R. Holbrook (Int. J. Data Min. Bioinform., 2006)

Dynamic Cluster Formation Using Level Set Methods. - Andy M. Yip; Chris H. Q. Ding; Tony F. Chan (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. - Yi Zhang 005; Chris H. Q. Ding; Tao Li 001 (BIBE, 2007)

Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. - Tao Li 001; Chris H. Q. Ding; Michael I. Jordan (ICDM, 2007)

Binary Matrix Factorization with Applications. - Zhongyuan Zhang; Tao Li 001; Chris H. Q. Ding; Xiang-Sun Zhang (ICDM, 2007)

Adaptive dimension reduction using discriminant analysis and K-means clustering. - Chris H. Q. Ding; Tao Li 001 (ICML, 2007)

Finding Hotspots in Document Collection. - Wei Peng 001; Chris H. Q. Ding; Tao Li 001; Tong Sun 001 (ICTAI (1), 2007)

A learning framework using Green's function and kernel regularization with application to recommender system. - Chris H. Q. Ding; Rong Jin 001; Tao Li 001; Horst D. Simon (KDD, 2007)

Tensor reduction error analysis - Applications to video compression and classification. - Chris H. Q. Ding; Heng Huang; Dijun Luo (CVPR, 2008)

Robust tensor factorization using R1 norm. - Heng Huang; Chris H. Q. Ding (CVPR, 2008)

Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. - Chris H. Q. Ding; Tao Li 001; Michael I. Jordan (ICDM, 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 001 (KDD, 2008)

Stable feature selection via dense feature groups. - Lei Yu 001; Chris H. Q. Ding; Steven Loscalzo (KDD, 2008)

Weighted Consensus Clustering. - Tao Li 001; Chris H. Q. Ding (SDM, 2008)

Posterior probabilistic clustering using NMF. - Chris H. Q. Ding; Tao Li 001; Dijun Luo; Wei Peng 001 (SIGIR, 2008)

Knowledge transformation from word space to document space. - Tao Li 001; Chris H. Q. Ding; Yi Zhang 005; Bo Shao (SIGIR, 2008)

Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. - Dingding Wang 001; Tao Li 001; Shenghuo Zhu; Chris H. Q. Ding (SIGIR, 2008)

On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing. - Chris H. Q. Ding; Tao Li 001; Wei Peng 001 (Comput. Stat. Data Anal., 2008)

Efficient Parallel I/O in Community Atmosphere Model (CAM). - Yu-heng Tseng; Chris H. Q. Ding (Int. J. High Perform. Comput. Appl., 2008)

KDD2008 workshop report DMMT'08: data mining using matrices and tensors. - Chris H. Q. Ding; Tao Li 001; Shenghuo Zhu (SIGKDD Explor., 2008)

Symmetric two dimensional linear discriminant analysis (2DLDA). - Dijun Luo; Chris H. Q. Ding; Heng Huang (CVPR, 2009)

Image annotation using multi-label correlated Green's function. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (ICCV, 2009)

Non-negative Laplacian Embedding. - Dijun Luo; Chris H. Q. Ding; Heng Huang; Tao Li 001 (ICDM, 2009)

Label Propagation on K-partite Graphs. - Chris H. Q. Ding; Tao Li 001; Dingding Wang 001 (ICMLA, 2009)

Consensus group stable feature selection. - Steven Loscalzo; Lei Yu 001; Chris H. Q. Ding (KDD, 2009)

K-Subspace Clustering. - Dingding Wang 001; Chris H. Q. Ding; Tao Li 001 (ECML/PKDD (2), 2009)

Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. - Fei Wang 001; Chris H. Q. Ding; Tao Li 001 (SDM, 2009)

Knowledge transformation for cross-domain sentiment classification. - Tao Li 001; Vikas Sindhwani; Chris H. Q. Ding; Yi Zhang 005 (SIGIR, 2009)

KDD2009 workshop report DMMT'09: data mining using matrices and tensors. - Chris H. Q. Ding; Tao Li 001 (SIGKDD Explor., 2009)

Dimension Reduction Techniques for Clustering. - Chris H. Q. Ding (Encyclopedia of Database Systems, 2009)

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. - Hua Wang 007; Chris H. Q. Ding; Heng Huang (AAAI, 2010)

Discriminant Laplacian Embedding. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (AAAI, 2010)

Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. - Qi Liu 003; Enhong Chen; Hui Xiong 001; Chris H. Q. Ding (CIKM, 2010)

Multi-label Linear Discriminant Analysis. - Hua Wang 007; Chris H. Q. Ding; Heng Huang (ECCV (6), 2010)

Image Categorization Using Directed Graphs. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (ECCV (3), 2010)

Multi-label Feature Transform for Image Classifications. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (ECCV (4), 2010)

Towards Structural Sparsity: An Explicit l2/l0 Approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang (ICDM, 2010)

Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding. - Dingding Wang 001; Tao Li 001; Chris H. Q. Ding (ICDM, 2010)

Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering. - Zhichen Xia; Chris H. Q. Ding (ICDM Workshops, 2010)

Hierarchical Ensemble Clustering. - Li Zheng 001; Tao Li 001; Chris H. Q. Ding (ICDM, 2010)

Network community discovery: solving modularity clustering via normalized cut. - Linbin Yu; Chris H. Q. Ding (MLG@KDD, 2010)

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. - Feiping Nie 001; Heng Huang; Xiao Cai; Chris H. Q. Ding (NIPS, 2010)

Modeling reliability for wireless sensor node coverage in assistive testbeds. - Zhengyi Le; Eric Becker; Dimitrios G. Konstantinides; Chris H. Q. Ding; Fillia Makedon (PETRA, 2010)

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. - Feiping Nie 001; Chris H. Q. Ding; Dijun Luo; Heng Huang (ECML/PKDD (2), 2010)

Directed Graph Learning via High-Order Co-linkage Analysis. - Hua Wang 007; Chris H. Q. Ding; Heng Huang (ECML/PKDD (3), 2010)

Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. - Quanquan Gu; Jie Zhou 001; Chris H. Q. Ding (SDM, 2010)

Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. - Tao Li 001; Vikas Sindhwani; Chris H. Q. Ding; Yi Zhang 005 (SDM, 2010)

Closed form solution of similarity algorithms. - Yuanzhe Cai; Miao Zhang; Chris H. Q. Ding; Sharma Chakravarthy (SIGIR, 2010)

Feature subset non-negative matrix factorization and its applications to document understanding. - Dingding Wang 001; Chris H. Q. Ding; Tao Li 001 (SIGIR, 2010)

Determining modular organization of protein interaction networks by maximizing modularity density. - Shi-Hua Zhang; Xue-Mei Ning; Chris H. Q. Ding; Xiang-Sun Zhang (BMC Syst. Biol., 2010)

Binary matrix factorization for analyzing gene expression data. - Zhongyuan Zhang; Tao Li 001; Chris H. Q. Ding; Xian-Wen Ren; Xiang-Sun Zhang (Data Min. Knowl. Discov., 2010)

On the eigenvectors of p-Laplacian. - Dijun Luo; Heng Huang; Chris H. Q. Ding; Feiping Nie 001 (Mach. Learn., 2010)

Convex and Semi-Nonnegative Matrix Factorizations. - Chris H. Q. Ding; Tao Li 001; Michael I. Jordan (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Linear Discriminant Analysis: New Formulations and Overfit Analysis. - Dijun Luo; Chris H. Q. Ding; Heng Huang (AAAI, 2011)

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. - Dijun Luo; Chris H. Q. Ding; Heng Huang (AAAI, 2011)

Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases. - Chao Shen 005; Tao Li 001; Chris H. Q. Ding (AAAI, 2011)

Robust nonnegative matrix factorization using L21-norm. - Deguang Kong; Chris H. Q. Ding; Heng Huang (CIKM, 2011)

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (CIKM, 2011)

Image annotation using bi-relational graph of images and semantic labels. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (CVPR, 2011)

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. - Dijun Luo; Heng Huang; Chris H. Q. Ding (ICCV, 2011)

Unsupervised and semi-supervised learning via ℓ1-norm graph. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (ICCV, 2011)

Dyadic transfer learning for cross-domain image classification. - Hua Wang 007; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (ICCV, 2011)

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. - Hua Wang 007; Feiping Nie 001; Heng Huang; Shannon L. Risacher; Chris H. Q. Ding; Andrew J. Saykin; Li Shen 001 (ICCV, 2011)

Consensus spectral clustering in near-linear time. - Dijun Luo; Chris H. Q. Ding; Heng Huang; Feiping Nie 001 (ICDE, 2011)

Multi-Class L2, 1-Norm Support Vector Machine. - Xiao Cai; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (ICDM, 2011)

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. - Hua Wang 007; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (ICDM, 2011)

Tensor Fold-in Algorithms for Social Tagging Prediction. - Miao Zhang; Chris H. Q. Ding; Zhifang Liao (ICDM, 2011)

Cauchy Graph Embedding. - Dijun Luo; Chris H. Q. Ding; Feiping Nie 001; Heng Huang (ICML, 2011)

On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF. - Quanquan Gu; Chris H. Q. Ding; Jiawei Han 001 (IJCAI, 2011)

Cluster Indicator Decomposition for Efficient Matrix Factorization. - Dijun Luo; Chris H. Q. Ding; Heng Huang (IJCAI, 2011)

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. - Feiping Nie 001; Heng Huang; Chris H. Q. Ding; Dijun Luo; Hua Wang 007 (IJCAI, 2011)

Angular Decomposition. - Dengdi Sun; Chris H. Q. Ding; Bin Luo 001; Jin Tang 001 (IJCAI, 2011)

Gaussian Process for Recommender Systems. - Qi Liu 003; Enhong Chen; Biao Xiang; Chris H. Q. Ding; Liang He 010 (KSEM, 2011)

Maximum Margin Multi-Instance Learning. - Hua Wang 007; Heng Huang; Farhad Kamangar; Feiping Nie 001; Chris H. Q. Ding (NIPS, 2011)

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. - Dijun Luo; Chris H. Q. Ding; Heng Huang (PAKDD (1), 2011)

Graph Evolution via Social Diffusion Processes. - Dijun Luo; Chris H. Q. Ding; Heng Huang (ECML/PKDD (2), 2011)

Multi-Subspace Representation and Discovery. - Dijun Luo; Feiping Nie 001; Chris H. Q. Ding; Heng Huang (ECML/PKDD (2), 2011)

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. - Hua Wang 007; Heng Huang; Feiping Nie 001; Chris H. Q. Ding (SIGIR, 2011)

Low-order tensor decompositions for social tagging recommendation. - Yuanzhe Cai; Miao Zhang; Dijun Luo; Chris H. Q. Ding; Sharma Chakravarthy (WSDM, 2011)

Guest editorial: special issue on data mining with matrices, graphs and tensors. - Tao Li 001; Chris H. Q. Ding; Fei Wang 001 (Data Min. Knowl. Discov., 2011)

Community discovery using nonnegative matrix factorization. - Fei Wang 001; Tao Li 001; Xin Wang 013; Shenghuo Zhu; Chris H. Q. Ding (Data Min. Knowl. Discov., 2011)

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. - Feiping Nie 001; Heng Huang; Chris H. Q. Ding (AAAI, 2012)

Robust Integrated Locally Linear Embedding. - Li-li Zhang; Ying Xie 002; Bin Luo 001; Chris H. Q. Ding; Jin Tang 001 (CCBR, 2012)

Infobox suggestion for Wikipedia entities. - Afroza Sultana; Quazi Mainul Hasan; Ashis Kumer Biswas; Soumyava Das; Habibur Rahman 001; Chris H. Q. Ding; Chengkai Li 001 (CIKM, 2012)

Multi-label ReliefF and F-statistic feature selections for image annotation. - Deguang Kong; Chris H. Q. Ding; Heng Huang; Haifeng Zhao (CVPR, 2012)

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. - Xiao Cai; Hua Wang 007; Heng Huang; Chris H. Q. Ding (ECCV (6), 2012)

Nonnegative matrix factorization using a robust error function. - Chris H. Q. Ding; Deguang Kong (ICASSP, 2012)

An efficient algorithm for L1-norm principal component analysis. - Linbin Yu; Miao Zhang; Chris H. Q. Ding (ICASSP, 2012)

A Semi-definite Positive Linear Discriminant Analysis and Its Applications. - Deguang Kong; Chris H. Q. Ding (ICDM, 2012)

Parallelization with Multiplicative Algorithms for Big Data Mining. - Dijun Luo; Chris H. Q. Ding; Heng Huang (ICDM, 2012)

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. - Feiping Nie 001; Hua Wang 007; Xiao Cai; Heng Huang; Chris H. Q. Ding (ICDM, 2012)

Robust Kernel Nonnegative Matrix Factorization. - Zhichen Xia; Chris H. Q. Ding; Edmond Chow (ICDM Workshops, 2012)

An Iterative Locally Linear Embedding Algorithm. - Deguang Kong; Chris H. Q. Ding; Heng Huang; Feiping Nie 001 (ICML, 2012)

An Efficient Algorithm for Feature Selection with Feature Correlation. - Lili Huang; Jin Tang 001; Sibao Chen 001; Chris H. Q. Ding; Bin Luo 001 (IScIDE, 2012)

Selective Labeling via Error Bound Minimization. - Quanquan Gu; Tong Zhang 001; Chris H. Q. Ding; Jiawei Han 001 (NIPS, 2012)

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang; Feiping Nie 001 (NIPS, 2012)

Maximum Consistency Preferential Random Walks. - Deguang Kong; Chris H. Q. Ding (ECML/PKDD (2), 2012)

Symmetric Nonnegative Matrix Factorization for Graph Clustering. - Da Kuang; Haesun Park; Chris H. Q. Ding (SDM, 2012)

Towards a bridge between cost and wealth in risk-aware planning. - Yong Lin; Fillia Makedon; Chris H. Q. Ding (Appl. Intell., 2012)

Joint stage recognition and anatomical annotation of drosophila gene expression patterns. - Xiao Cai; Hua Wang 007; Heng Huang; Chris H. Q. Ding (Bioinform., 2012)

Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking. - Qi Liu 003; Enhong Chen; Hui Xiong 001; Chris H. Q. Ding; Jian Chen 016 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Nonnegative Matrix Factorizations for Clustering: A Survey. - Tao Li 001; Chris H. Q. Ding (Data Clustering: Algorithms and Applications, 2013)

Uncorrelated Lasso. - Sibao Chen 001; Chris H. Q. Ding; Bin Luo 001; Ying Xie 002 (AAAI, 2013)

Supervised and Projected Sparse Coding for Image Classification. - Jin Huang; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (AAAI, 2013)

Probabilistic solutions of influence propagation on social networks. - Miao Zhang; Chunni Dai; Chris H. Q. Ding; Enhong Chen (CIKM, 2013)

Graph-Laplacian PCA: Closed-Form Solution and Robustness. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001; Jin Tang 001 (CVPR, 2013)

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. - Hua Wang 007; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (CVPR, 2013)

Robust Tucker Tensor Decomposition for Effective Image Representation. - Miao Zhang; Chris H. Q. Ding (ICCV, 2013)

Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. - Deguang Kong; Chris H. Q. Ding (ICDM, 2013)

Social Trust Prediction Using Rank-k Matrix Recovery. - Jin Huang; Feiping Nie 001; Heng Huang; Yu Lei 001; Chris H. Q. Ding (IJCAI, 2013)

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (IJCAI, 2013)

Early Active Learning via Robust Representation and Structured Sparsity. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (IJCAI, 2013)

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (IJCAI, 2013)

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. - Xiao Cai; Chris H. Q. Ding; Feiping Nie 001; Heng Huang (KDD, 2013)

Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective. - Deguang Kong; Miao Zhang; Chris H. Q. Ding (ECML/PKDD (2), 2013)

Collective Kernel Construction in Noisy Environment. - Chris H. Q. Ding; Deguang Kong; Miao Zhang (SDM, 2013)

Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (J. Comput. Biol., 2013)

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. - Hua Wang 007; Heng Huang; Chris H. Q. Ding; Feiping Nie 001 (J. Comput. Biol., 2013)

Toward structural sparsity: an explicit ℓ2/ℓ0 approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang (Knowl. Inf. Syst., 2013)

Non-negative Tri-factor tensor decomposition with applications. - Zhongyuan Zhang; Tao Li 001; Chris H. Q. Ding (Knowl. Inf. Syst., 2013)

Robust Manifold Nonnegative Matrix Factorization. - Jin Huang; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (ACM Trans. Knowl. Discov. Data, 2013)

Non-Convex Feature Learning via L_{p, inf} Operator. - Deguang Kong; Chris H. Q. Ding (AAAI, 2014)

Pairwise-Covariance Linear Discriminant Analysis. - Deguang Kong; Chris H. Q. Ding (AAAI, 2014)

Robust Non-Negative Dictionary Learning. - Qihe Pan; Deguang Kong; Chris H. Q. Ding; Bin Luo 001 (AAAI, 2014)

Feature Selection at the Discrete Limit. - Miao Zhang; Chris H. Q. Ding; Ya Zhang 002; Feiping Nie 001 (AAAI, 2014)

Exclusive Feature Learning on Arbitrary Structures via ell_{1, 2}-norm. - Deguang Kong; Ryohei Fujimaki; Ji Liu 002; Feiping Nie 001; Chris H. Q. Ding (NIPS, 2014)

Active Learning for Support Vector Machines with Maximum Model Change. - Wenbin Cai; Ya Zhang 002; Siyuan Zhou; Wenquan Wang; Chris H. Q. Ding; Xiao Gu 001 (ECML/PKDD (1), 2014)

Covariate-Correlated Lasso for Feature Selection. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001 (ECML/PKDD (1), 2014)

Kernel Alignment Inspired Linear Discriminant Analysis. - Shuai Zheng 002; Chris H. Q. Ding (ECML/PKDD (3), 2014)

Extended linear regression for undersampled face recognition. - Sibao Chen 001; Chris H. Q. Ding; Bin Luo 001 (J. Vis. Commun. Image Represent., 2014)

A Framework for Hierarchical Ensemble Clustering. - Li Zheng 001; Tao Li 001; Chris H. Q. Ding (ACM Trans. Knowl. Discov. Data, 2014)

A Local Sparse Model for Matching Problem. - Bo Jiang 002; Jin Tang 001; Chris H. Q. Ding; Bin Luo 001 (AAAI, 2015)

A Closed Form Solution to Multi-View Low-Rank Regression. - Shuai Zheng 002; Xiao Cai; Chris H. Q. Ding; Feiping Nie 001; Heng Huang (AAAI, 2015)

eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways. - Mingon Kang; Chunling Zhang; Hyung-Wook Chun; Chris H. Q. Ding; Chunyu Liu 001; Jean Gao (Bioinform., 2015)

An algorithm framework of sparse minimization for positive definite quadratic forms. - Si-Bao Chen 001; Chris H. Q. Ding; Bin Luo 001 (Neurocomputing, 2015)

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (J. Comput. Biol., 2015)

Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (Knowl. Inf. Syst., 2015)

Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization. - Ashis Kumer Biswas; Mingon Kang; Dong-Chul Kim; Chris H. Q. Ding; Baoju Zhang; Xiaoyong Wu; Jean X. Gao (Netw. Model. Anal. Health Informatics Bioinform., 2015)

PCA-guided search for K-means. - Qin Xu; Chris H. Q. Ding; Jinpei Liu; Bin Luo 001 (Pattern Recognit. Lett., 2015)

Similarity Learning of Manifold Data. - Si-Bao Chen 001; Chris H. Q. Ding; Bin Luo 001 (IEEE Trans. Cybern., 2015)

Accelerating Deep Learning with Shrinkage and Recall. - Shuai Zheng 002; Abhinav Vishnu; Chris H. Q. Ding (ICPADS, 2016)

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. - Shuai Zheng 002; Feiping Nie 001; Chris H. Q. Ding; Heng Huang (ICTAI, 2016)

Robust Out-of-Sample Data Recovery. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001 (IJCAI, 2016)

Nonnegative Orthogonal Graph Matching. - Bo Jiang 002; Jin Tang 001; Chris H. Q. Ding; Bin Luo 001 (AAAI, 2017)

Rank Ordering Constraints Elimination with Application for Kernel Learning. - Ying Xie 002; Chris H. Q. Ding; Yihong Gong; Zongze Wu 001 (AAAI, 2017)

Binary Constraint Preserving Graph Matching. - Bo Jiang 002; Jin Tang 001; Chris Ding; Bin Luo 001 (CVPR, 2017)

Saliency Detection via A Graph Based Diffusion Model. - Zhouqin He; Bo Jiang 002; Yun Xiao 003; Chris H. Q. Ding; Bin Luo 001 (GbRPR, 2017)

Graph Matching via Multiplicative Update Algorithm. - Bo Jiang 002; Jin Tang 001; Chris Ding; Yihong Gong; Bin Luo 001 (NIPS, 2017)

L1-norm Error Function Robustness and Outlier Regularization. - Chris Ding; Bo Jiang 002 (CoRR, 2017)

Outlier Regularization for Vector Data and L21 Norm Robustness. - Bo Jiang 002; Chris Ding (CoRR, 2017)

Multiple Images Recovery Using a Single Affine Transformation. - Bo Jiang 002; Chris H. Q. Ding; Bin Luo 001 (CoRR, 2017)

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. - Hua Wang 007; Lin Yan 003; Heng Huang; Chris H. Q. Ding (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Active Learning for Classification with Maximum Model Change. - Wenbin Cai; Yexun Zhang; Ya Zhang 002; Siyuan Zhou; Wenquan Wang; Zhuoxiang Chen; Chris H. Q. Ding (ACM Trans. Inf. Syst., 2017)

Exercise-Enhanced Sequential Modeling for Student Performance Prediction. - Yu Su 002; Qingwen Liu 002; Qi Liu 003; Zhenya Huang; Yu Yin 002; Enhong Chen; Chris H. Q. Ding; Si Wei; Guoping Hu (AAAI, 2018)

Transductive Semi-Supervised Deep Learning Using Min-Max Features. - Weiwei Shi 003; Yihong Gong; Chris Ding; Zhiheng Ma; Xiaoyu Tao; Nanning Zheng 001 (ECCV (5), 2018)

Minimal Support Vector Machine. - Shuai Zheng 002; Chris Ding (CoRR, 2018)

Regularized Singular Value Decomposition and Application to Recommender System. - Shuai Zheng 002; Chris H. Q. Ding; Feiping Nie 001 (CoRR, 2018)

A discriminative multi-class feature selection method via weighted l2, 1-norm and Extended Elastic Net. - Si-Bao Chen 001; Ying Zhang; Chris H. Q. Ding; Zhili Zhou; Bin Luo 001 (Neurocomputing, 2018)

Robust data representation using locally linear embedding guided PCA. - Bo Jiang 002; Chris Ding; Bin Luo 001 (Neurocomputing, 2018)

Saliency detection via a multi-layer graph based diffusion model. - Bo Jiang 002; Zhouqin He; Chris Ding; Bin Luo 001 (Neurocomputing, 2018)

Linear regression based projections for dimensionality reduction. - Sibao Chen 001; Chris H. Q. Ding; Bin Luo 001 (Inf. Sci., 2018)

A Nonnegative Locally Linear KNN model for image recognition. - Si-Bao Chen 001; Yu-Lan Xu; Chris H. Q. Ding; Bin Luo 001 (Pattern Recognit., 2018)

Non-greedy Max-min Large Margin based on L1-norm. - Si-Bao Chen 001; Chong Zuo; Chris Ding; Bin Luo 001 (Pattern Recognit. Lett., 2018)

Dimension Reduction Techniques for Clustering. - Chris Ding (Encyclopedia of Database Systems (2nd ed.), 2018)

A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. - Di Ming; Chris Ding; Feiping Nie 001 (AAAI, 2019)

Robust Flexible Feature Selection via Exclusive L21 Regularization. - Di Ming; Chris Ding (IJCAI, 2019)

Pyramid Attention Dense Network for Image Super-Resolution. - Sibao Chen 001; Chao Hu; Bin Luo 001; Chris H. Q. Ding; Shilei Huang (IJCNN, 2019)

Multiple Back Propagation Network and Metric Fusion for Person Re-identification. - Sibao Chen 001; Feng Luo; Bin Luo 001; Chris H. Q. Ding; Yi Liu (IJCNN, 2019)

SRAGAN: Generating Colour Landscape Photograph from Sketch. - Sibao Chen 001; Peng-Cheng Wang; Bin Luo 001; Chris H. Q. Ding; Jian Zhang 061 (IJCNN, 2019)

Sparse classification using Group Matching Pursuit. - Shuai Zheng 002; Chris Ding (Neurocomputing, 2019)

Extended adaptive Lasso for multi-class and multi-label feature selection. - Sibao Chen 001; Yu-Mei Zhang; Chris H. Q. Ding; Jian Zhang 061; Bin Luo 001 (Knowl. Based Syst., 2019)

Feature selection based on correlation deflation. - Si-Bao Chen 001; Chris H. Q. Ding; Zhili Zhou; Bin Luo 001 (Neural Comput. Appl., 2019)

${R}_1$ -2-DPCA and Face Recognition. - Quanxue Gao; Sai Xu; Fang Chen; Chris Ding; Xinbo Gao 001; Yunsong Li 001 (IEEE Trans. Cybern., 2019)

Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition. - Bo Jiang 002; Chris Ding; Jin Tang 001; Bin Luo 001 (IEEE Trans. Cybern., 2019)

Harmonic Mean Linear Discriminant Analysis. - Shuai Zheng 002; Chris Ding; Feiping Nie 001; Heng Huang (IEEE Trans. Knowl. Data Eng., 2019)

Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder. - Shou-Jiu Xiong; Sibao Chen 001; Chris H. Q. Ding; Bin Luo 001 (PRCV (3), 2020)

Graph Convolutional Network Based on Manifold Similarity Learning. - Si-Bao Chen 001; Xiu-Zhi Tian; Chris H. Q. Ding; Bin Luo 001; Yi Liu; Hao Huang; Qiang Li (Cogn. Comput., 2020)

Towards Class-Specific Unit. - Runkai Zheng; Zhijia Yu; Yinqi Zhang; Chris Ding; Hei Victor Cheng; Li Liu 036 (CoRR, 2020)

Double robust principal component analysis. - Qianqian Wang 001; Quanxue Gao; Gan Sun; Chris Ding (Neurocomputing, 2020)

A group lasso based sparse KNN classifier. - Shuai Zheng 002; Chris Ding (Pattern Recognit. Lett., 2020)

Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label. - Jiaxin Wang; Chris H. Q. Ding; Sibao Chen 001; Chenggang He; Bin Luo 001 (Remote. Sens., 2020)

Revisiting L2, 1-Norm Robustness With Vector Outlier Regularization. - Bo Jiang 002; Chris Ding (IEEE Trans. Neural Networks Learn. Syst., 2020)

Supervised Dimensionality Reduction Methods via Recursive Regression. - Yun Liu 021; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001; Chris Ding (IEEE Trans. Neural Networks Learn. Syst., 2020)

Intelligent Machine Learning System for Predicting Customer Churn. - Chenggang He; Chris H. Q. Ding; Sibao Chen 001; Bin Luo 001 (ICTAI, 2021)

SwitchFlow: preemptive multitasking for deep learning. - Xiaofeng Wu 002; Jia Rao; Wei Chen 038; Hang Huang; Chris H. Q. Ding; Heng Huang (Middleware, 2021)

Regularization graph convolutional networks with data augmentation. - Xiu-Zhi Tian; Chris H. Q. Ding; Sibao Chen 001; Bin Luo 001; Xin Wang 013 (Neurocomputing, 2021)

Non-Greedy L21-Norm Maximization for Principal Component Analysis. - Feiping Nie 001; Lai Tian; Heng Huang; Chris Ding (IEEE Trans. Image Process., 2021)

Learning Graph Similarity With Large Spectral Gap. - Zongze Wu 001; Sihui Liu; Chris Ding; Zhigang Ren; Shengli Xie (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Data Representation and Clustering with Double Low-Rank Constraints. - Haoming He; Deyu Zeng; Chris Ding; Zongze Wu 001 (ICONIP (4), 2022)

MvInf: Social Influence Prediction with Multi-view Graph Attention Learning. - Huifang Xu; Bo Jiang 002; Chris Ding (Cogn. Comput., 2022)

MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models. - Yixiong Chen; Jingxian Li; Hua Jiang; Li Liu 036; Chris Ding (CoRR, 2022)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Xiaochun Cao; Chris Ding; Hongyuan Zha; Baoyuan Wu (CoRR, 2022)

Rethinking Two Consensuses of the Transferability in Deep Learning. - Yixiong Chen; Jingxian Li; Chris Ding; Li Liu 036 (CoRR, 2022)

SIECP: Neural Network Channel Pruning based on Sequential Interval Estimation. - Si-Bao Chen 001; Yu-Jie Zheng; Chris H. Q. Ding; Bin Luo 001 (Neurocomputing, 2022)

Semi-Supervised Semantic Segmentation of Remote Sensing Images With Iterative Contrastive Network. - Jia-Xin Wang; Sibao Chen 001; Chris H. Q. Ding; Jin Tang 001; Bin Luo 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Labeled-Robust Regression: Simultaneous Data Recovery and Classification. - Deyu Zeng; Zongze Wu 001; Chris Ding; Zhigang Ren; Qingyu Yang; Shengli Xie (IEEE Trans. Cybern., 2022)

RanPaste: Paste Consistency and Pseudo Label for Semisupervised Remote Sensing Image Semantic Segmentation. - Jia-Xin Wang; Si-Bao Chen 001; Chris H. Q. Ding; Jin Tang 001; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. - Yixiong Chen; Li Liu 036; Jingxian Li; Hua Jiang; Chris Ding; Zongwei Zhou (MICCAI (1), 2023)

Federated Spectral Clustering via Secure Similarity Reconstruction. - Dong Qiao; Chris Ding; Jicong Fan 001 (NeurIPS, 2023)

Lovász Principle for Unsupervised Graph Representation Learning. - Ziheng Sun; Chris Ding; Jicong Fan 001 (NeurIPS, 2023)

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models. - Yixiong Chen; Li Liu 036; Chris Ding (CoRR, 2023)

Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection. - Wenwen Min; Taosheng Xu; Chris Ding (CoRR, 2023)

A Robust Feature Downsampling Module for Remote-Sensing Visual Tasks. - Wei Lu; Sibao Chen 001; Jin Tang 001; Chris H. Q. Ding; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Crossed Siamese Vision Graph Neural Network for Remote-Sensing Image Change Detection. - Zhi-Hui You; Jia-Xin Wang; Sibao Chen 001; Chris H. Q. Ding; Guizhou Wang; Jin Tang 001; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Tensorized Bipartite Graph Learning for Multi-View Clustering. - Wei Xia; Quanxue Gao; Qianqian Wang 001; Xinbo Gao 001; Chris Ding; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. - Yixiong Chen; Chunhui Zhang; Chris H. Q. Ding; Li Liu 036 (IEEE Trans. Medical Imaging, 2023)

Data representation learning via dictionary learning and self-representation. - Deyu Zeng; Jing Sun; Zongze Wu 001; Chris Ding; Zhigang Ren (Appl. Intell., 2023)

Fine-Grained Truck Re-identification: A Challenge. - Sibao Chen 001; Zi-Han Lin; Chris H. Q. Ding; Bin Luo 001 (Cogn. Comput., 2023)

Combinatorial online high-order interactive feature selection based on dynamic graph convolution network. - Wen-Bin Wu; Jun-Jun Sun; Sibao Chen 001; Chris Ding; Bin Luo 001 (Signal Process., 2023)

Model Compression Based on Differentiable Network Channel Pruning. - Yu-Jie Zheng; Sibao Chen 001; Chris H. Q. Ding; Bin Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Chris Ding; Hongyuan Zha; Baoyuan Wu (AAAI, 2024)

Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. - Jicong Fan 001; Rui Chen; Zhao Zhang 001; Chris Ding (ICLR, 2024)

Learning Graph Representation via Graph Entropy Maximization. - Ziheng Sun; Xudong Wang; Chris Ding; Jicong Fan 001 (ICML, 2024)

Fuzzy K-Means Clustering without Cluster Centroids. - Han Lu; Fangfang Li 005; Quanxue Gao; Cheng Deng; Chris Ding; Qianqian Wang 001 (CoRR, 2024)

K-means Derived Unsupervised Feature Selection using Improved ADMM. - Ziheng Sun; Chris Ding; Jicong Fan 001 (CoRR, 2024)

Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm. - Deyu Zeng; Chris Ding; Zongze Wu 001; Xiaopin Zhong; Weixiang Liu (Knowl. Based Syst., 2024)

DEGANet: Road Extraction Using Dual-Branch Encoder With Gated Attention Mechanism. - Huang Li; Sibao Chen 001; Lili Huang; Chris H. Q. Ding; Jin Tang 001; Bin Luo 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Prototype Discriminative Learning for Semi-Supervised Change Detection in Remote Sensing Images. - Zhi-Hui You; Sibao Chen 001; Jia-Xin Wang; Chris H. Q. Ding; Jin Tang 001; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks. - Beibei Wang; Bo Jiang 002; Chris Ding (IEEE Trans. Netw. Sci. Eng., 2024)

Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization. - Wen-Bin Wu; Sibao Chen 001; Chris Ding; Bin Luo 001 (Cogn. Comput., 2024)

Multi-view Subspace Classification: A Hierarchical Contrastive Approach and Low-rank Latent Representation. - Deyu Zeng; Tengyu Zhang; Zongze Wu 001; Wei Liu; Chris Ding (ICASSP, 2025)

Learning Class Unique Features in Fine-Grained Visual Classification. - Runkai Zheng; Li Liu 036; Zhijia Yu; Yinqi Zhang; Hei Victor Cheng; Chris Ding (ICASSP, 2025)

SecRASP: Next generation web application security protection methodology and framework. - Chenggang He; Chris H. Q. Ding (Comput. Secur., 2025)

Contrastive independent subspace analysis network for multi-view spatial information extraction. - Tengyu Zhang; Deyu Zeng; Wei Liu; Zongze Wu 001; Chris Ding; Xiaopin Zhong (Neural Networks, 2025)

Multidimensional Remote Sensing Change Detection Based on Siamese Dual-Branch Networks. - Li-Rong Shen; Sibao Chen 001; Lili Huang; Zhi-Hui You; Chris Ding; Jin Tang 001; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Real-World Remote Sensing Image Dehazing: Benchmark and Baseline. - Zeng-Hui Zhu; Wei Lu; Sibao Chen 001; Chris H. Q. Ding; Jin Tang 001; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks. - Wei Lu; Sibao Chen 001; Chris H. Q. Ding; Jin Tang 001; Bin Luo 001 (CoRR, 2025)

LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection. - Wei Lu; Si-Bao Chen 001; Hui-Dong Li; Qing-Ling Shu; Chris H. Q. Ding; Jin Tang 001; Bin Luo 001 (CoRR, 2025)

Learnable Kernel Density Estimation for Graphs. - Xudong Wang; Ziheng Sun; Chris Ding; Jicong Fan 001 (CoRR, 2025)

Adaptive Riemannian Graph Neural Networks. - Xudong Wang; Tongxin Li; Chris Ding; Jicong Fan 001 (CoRR, 2025)

GraphProp: Training the Graph Foundation Models using Graph Properties. - Ziheng Sun; Qi Feng; Lehao Lin; Chris Ding; Jicong Fan 001 (CoRR, 2025)

DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning. - Xudong Wang; Guoming Tang; Junyu Xue; Srinivasan Keshav; Tongxin Li; Chris Ding (CoRR, 2025)