| 2025 | ICCV | LEGNet: A Lightweight Edge-Gaussian Network for Low-Quality Remote Sensing Image Object Detection. | Wei Lu, Sibao Chen, Hui-Dong Li, Qing-Ling Shu, Chris H. Q. Ding, Jin Tang, Bin Luo |
| 2021 | ICTAI | Intelligent Machine Learning System for Predicting Customer Churn. | Chenggang He, Chris H. Q. Ding, Sibao Chen, Bin Luo |
| 2021 | Middleware | SwitchFlow: preemptive multitasking for deep learning. | Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang |
| 2019 | IJCNN | Pyramid Attention Dense Network for Image Super-Resolution. | Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang |
| 2019 | IJCNN | Multiple Back Propagation Network and Metric Fusion for Person Re-identification. | Sibao Chen, Feng Luo, Bin Luo, Chris H. Q. Ding, Yi Liu |
| 2019 | IJCNN | SRAGAN: Generating Colour Landscape Photograph from Sketch. | Sibao Chen, Peng-Cheng Wang, Bin Luo, Chris H. Q. Ding, Jian Zhang |
| 2018 | AAAI | 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 |
| 2017 | AAAI | Nonnegative Orthogonal Graph Matching. | Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo |
| 2017 | AAAI | Rank Ordering Constraints Elimination with Application for Kernel Learning. | Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu |
| 2016 | ICPADS | Accelerating Deep Learning with Shrinkage and Recall. | Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding |
| 2016 | IJCAI | Robust Out-of-Sample Data Recovery. | Bo Jiang, Chris H. Q. Ding, Bin Luo |
| 2016 | ICTAI | A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. | Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang |
| 2015 | AAAI | A Local Sparse Model for Matching Problem. | Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo |
| 2015 | AAAI | A Closed Form Solution to Multi-View Low-Rank Regression. | Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2014 | AAAI | Non-Convex Feature Learning via L_{p, inf} Operator. | Deguang Kong, Chris H. Q. Ding |
| 2014 | AAAI | Pairwise-Covariance Linear Discriminant Analysis. | Deguang Kong, Chris H. Q. Ding |
| 2014 | AAAI | Robust Non-Negative Dictionary Learning. | Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo |
| 2014 | AAAI | Feature Selection at the Discrete Limit. | Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie |
| 2014 | RECOMB | Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2013 | AAAI | Uncorrelated Lasso. | Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie |
| 2013 | AAAI | Supervised and Projected Sparse Coding for Image Classification. | Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2013 | CIKM | Probabilistic solutions of influence propagation on social networks. | Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen |
| 2013 | CVPR | Graph-Laplacian PCA: Closed-Form Solution and Robustness. | Bo Jiang, Chris H. Q. Ding, Bin Luo, Jin Tang |
| 2013 | CVPR | Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. | Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2013 | ICCV | Robust Tucker Tensor Decomposition for Effective Image Representation. | Miao Zhang, Chris H. Q. Ding |
| 2013 | ICDM | Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. | Deguang Kong, Chris H. Q. Ding |
| 2013 | IJCAI | Social Trust Prediction Using Rank-k Matrix Recovery. | Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding |
| 2013 | IJCAI | Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. | Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2013 | IJCAI | Early Active Learning via Robust Representation and Structured Sparsity. | Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2013 | IJCAI | Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2013 | KDD | On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. | Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2013 | SDM | Collective Kernel Construction in Noisy Environment. | Chris H. Q. Ding, Deguang Kong, Miao Zhang |
| 2012 | AAAI | Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. | Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2012 | CIKM | Infobox suggestion for Wikipedia entities. | Afroza Sultana, Quazi Mainul Hasan, Ashis Kumer Biswas, Soumyava Das, Habibur Rahman, Chris H. Q. Ding, Chengkai Li |
| 2012 | CVPR | Multi-label ReliefF and F-statistic feature selections for image annotation. | Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao |
| 2012 | ECCV | Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. | Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2012 | ICASSP | Nonnegative matrix factorization using a robust error function. | Chris H. Q. Ding, Deguang Kong |
| 2012 | ICASSP | An efficient algorithm for L1-norm principal component analysis. | Linbin Yu, Miao Zhang, Chris H. Q. Ding |
| 2012 | ICDM | A Semi-definite Positive Linear Discriminant Analysis and Its Applications. | Deguang Kong, Chris H. Q. Ding |
| 2012 | ICDM | Parallelization with Multiplicative Algorithms for Big Data Mining. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2012 | ICDM | Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. | Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding |
| 2012 | ICDM | Robust Kernel Nonnegative Matrix Factorization. | Zhichen Xia, Chris H. Q. Ding, Edmond Chow |
| 2012 | ICML | An Iterative Locally Linear Embedding Algorithm. | Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie |
| 2012 | RECOMB | Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2012 | RECOMB | Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. | Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie |
| 2012 | SDM | Symmetric Nonnegative Matrix Factorization for Graph Clustering. | Da Kuang, Haesun Park, Chris H. Q. Ding |
| 2011 | AAAI | Linear Discriminant Analysis: New Formulations and Overfit Analysis. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | AAAI | Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | AAAI | 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 |
| 2011 | CIKM | Robust nonnegative matrix factorization using L21-norm. | Deguang Kong, Chris H. Q. Ding, Heng Huang |
| 2011 | CIKM | Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2011 | CVPR | Image annotation using bi-relational graph of images and semantic labels. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. | Dijun Luo, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | Unsupervised and semi-supervised learning via ℓ1-norm graph. | Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | Dyadic transfer learning for cross-domain image classification. | Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | 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 |
| 2011 | ICDE | Consensus spectral clustering in near-linear time. | Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie |
| 2011 | ICDM | Multi-Class L2, 1-Norm Support Vector Machine. | Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2011 | ICDM | Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. | Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2011 | ICDM | Tensor Fold-in Algorithms for Social Tagging Prediction. | Miao Zhang, Chris H. Q. Ding, Zhifang Liao |
| 2011 | ICML | Cauchy Graph Embedding. | Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2011 | IJCAI | On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF. | Quanquan Gu, Chris H. Q. Ding, Jiawei Han |
| 2011 | IJCAI | Cluster Indicator Decomposition for Efficient Matrix Factorization. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | IJCAI | Robust Principal Component Analysis with Non-Greedy l | Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang |
| 2011 | IJCAI | Angular Decomposition. | Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang |
| 2011 | KSEM | Gaussian Process for Recommender Systems. | Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He |
| 2011 | PAKDD | Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | SIGIR | Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. | Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding |
| 2011 | WSDM | Low-order tensor decompositions for social tagging recommendation. | Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy |
| 2010 | AAAI | Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. | Hua Wang, Chris H. Q. Ding, Heng Huang |
| 2010 | AAAI | Discriminant Laplacian Embedding. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2010 | CIKM | Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. | Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding |
| 2010 | ECCV | Multi-label Linear Discriminant Analysis. | Hua Wang, Chris H. Q. Ding, Heng Huang |
| 2010 | ECCV | Image Categorization Using Directed Graphs. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2010 | ECCV | Multi-label Feature Transform for Image Classifications. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2010 | ICDM | Towards Structural Sparsity: An Explicit l2/l0 Approach. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2010 | ICDM | Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding. | Dingding Wang, Tao Li, Chris H. Q. Ding |
| 2010 | ICDM | Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering. | Zhichen Xia, Chris H. Q. Ding |
| 2010 | ICDM | Hierarchical Ensemble Clustering. | Li Zheng, Tao Li, Chris H. Q. Ding |
| 2010 | SIGIR | Closed form solution of similarity algorithms. | Yuanzhe Cai, Miao Zhang, Chris H. Q. Ding, Sharma Chakravarthy |
| 2010 | SIGIR | Feature subset non-negative matrix factorization and its applications to document understanding. | Dingding Wang, Chris H. Q. Ding, Tao Li |
| 2010 | SDM | Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. | Quanquan Gu, Jie Zhou, Chris H. Q. Ding |
| 2010 | SDM | Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang |
| 2009 | CVPR | Symmetric two dimensional linear discriminant analysis (2DLDA). | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2009 | ICCV | Image annotation using multi-label correlated Green's function. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2009 | ICDM | Non-negative Laplacian Embedding. | Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li |
| 2009 | ICMLA | Label Propagation on K-partite Graphs. | Chris H. Q. Ding, Tao Li, Dingding Wang |
| 2009 | KDD | Consensus group stable feature selection. | Steven Loscalzo, Lei Yu, Chris H. Q. Ding |
| 2009 | SIGIR | Knowledge transformation for cross-domain sentiment classification. | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang |
| 2009 | SDM | 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 |
| 2008 | CVPR | Tensor reduction error analysis - Applications to video compression and classification. | Chris H. Q. Ding, Heng Huang, Dijun Luo |
| 2008 | CVPR | Robust tensor factorization using R1 norm. | Heng Huang, Chris H. Q. Ding |
| 2008 | ICDM | Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. | Chris H. Q. Ding, Tao Li, Michael I. Jordan |
| 2008 | KDD | 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 |
| 2008 | KDD | Stable feature selection via dense feature groups. | Lei Yu, Chris H. Q. Ding, Steven Loscalzo |
| 2008 | SIGIR | Posterior probabilistic clustering using NMF. | Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng |
| 2008 | SIGIR | Knowledge transformation from word space to document space. | Tao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao |
| 2008 | SIGIR | Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. | Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. Ding |
| 2008 | SDM | Weighted Consensus Clustering. | Tao Li, Chris H. Q. Ding |
| 2007 | BIBE | A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. | Yi Zhang, Chris H. Q. Ding, Tao Li |
| 2007 | ICDM | Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. | Tao Li, Chris H. Q. Ding, Michael I. Jordan |
| 2007 | ICDM | Binary Matrix Factorization with Applications. | Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiang-Sun Zhang |
| 2007 | ICML | Adaptive dimension reduction using discriminant analysis and | Chris H. Q. Ding, Tao Li |
| 2007 | ICTAI | Finding Hotspots in Document Collection. | Wei Peng, Chris H. Q. Ding, Tao Li, Tong Sun |
| 2007 | KDD | 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 |
| 2006 | AAAI | Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method. | Chris H. Q. Ding, Tao Li, Wei Peng |
| 2006 | ICDM | Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. | Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook |
| 2006 | ICDM | The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. | Tao Li, Chris H. Q. Ding |
| 2006 | ICML | Untitled record | Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha |
| 2006 | ICMLA | Supernova Recognition Using Support Vector Machines. | Raquel A. Romano, Cecilia R. Aragon, Chris H. Q. Ding |
| 2006 | KDD | Orthogonal nonnegative matrix t-factorizations for clustering. | Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park |
| 2006 | SIGIR | NMF and PLSI: equivalence and a hybrid algorithm. | Chris H. Q. Ding, Tao Li, Wei Peng |
| 2005 | BIBE | A Multi-Level Approach to SCOP Fold Recognition. | Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding |
| 2005 | KDD | Finding cliques in protein interaction networks via transitive closure of a weighted graph. | Chris H. Q. Ding, Xiaofeng He, Hanchuan Peng |
| 2005 | PAKDD | Dynamic Cluster Formation Using Level Set Methods. | Andy M. Yip, Chris H. Q. Ding, Tony F. Chan |
| 2005 | PSB | 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 |
| 2005 | SDM | On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. | Chris H. Q. Ding, Xiaofeng He |
| 2005 | SDM | 2-Dimensional Singular Value Decomposition for 2D Maps and Images. | Chris H. Q. Ding, Jieping Ye |
| 2004 | ICML | Linearized cluster assignment via spectral ordering. | Chris H. Q. Ding, Xiaofeng He |
| 2004 | ICML | Untitled record | Chris H. Q. Ding, Xiaofeng He |
| 2004 | PAKDD | Cluster Structure of K-means Clustering via Principal Component Analysis. | Chris H. Q. Ding, Xiaofeng He |
| 2004 | SAC | K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. | Chris H. Q. Ding, Xiaofeng He |
| 2004 | SDM | Principal Component Analysis and Effective K-Means Clustering. | Chris H. Q. Ding, Xiaofeng He |
| 2003 | ICDM | Structure Search and Stability Enhancement of Bayesian Networks. | Hanchuan Peng, Chris H. Q. Ding |
| 2003 | IJCAI | Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. | Chris H. Q. Ding |
| 2003 | SDM | PageRank: HITS and a Unified Framework for Link Analysis. | Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon |
| 2002 | ICDM | Cluster merging and splitting in hierarchical clustering algorithms. | Chris H. Q. Ding, Xiaofeng He |
| 2002 | ICDM | Adaptive dimension reduction for clustering high dimensional data. | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon |
| 2002 | RECOMB | Analysis of gene expression profiles: class discovery and leaf ordering. | Chris H. Q. Ding |
| 2002 | SIGIR | PageRank, HITS and a unified framework for link analysis. | Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon |
| 2002 | SC | MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multi-dimensional array transposition. | Yun He, Chris H. Q. Ding |
| 2001 | CIKM | Bipartite Graph Partitioning and Data Clustering. | Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon |
| 2001 | ICDM | A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon |
| 2001 | ICDM | Automatic Topic Identification Using Webpage Clustering. | Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon |
| 2001 | KDD | A spectral method to separate disconnected and nearly-disconnected web graph components. | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha |
| 2001 | SC | A ghost cell expansion method for reducing communications in solving PDE problems. | Chris H. Q. Ding, Yun He |
| 2000 | ICS | Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications. | Yun He, Chris H. Q. Ding |
| 1999 | SIGIR | A Similarity-based Probability Model for Latent Semantic Indexing. | Chris H. Q. Ding |
| 1999 | SC | Data Organization and I/O in a Parallel Ocean Circulation Model. | Chris H. Q. Ding, Yun He |
| 1999 | SC | 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 |
| 1997 | SC | 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 |