Ding, Chris H. Q.

60 publications

AAAI 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

AAAI 2017 Nonnegative Orthogonal Graph Matching Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

AAAI 2017 Rank Ordering Constraints Elimination with Application for Kernel Learning Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu

IJCAI 2016 Robust Out-of-Sample Data Recovery Bo Jiang, Chris H. Q. Ding, Bin Luo

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

AAAI 2015 A Local Sparse Model for Matching Problem Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

ECML-PKDD 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

ECML-PKDD 2014 Covariate-Correlated Lasso for Feature Selection Bo Jiang, Chris H. Q. Ding, Bin Luo

AAAI 2014 Feature Selection at the Discrete Limit Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie

ECML-PKDD 2014 Kernel Alignment Inspired Linear Discriminant Analysis Shuai Zheng, Chris H. Q. Ding

AAAI 2014 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

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

IJCAI 2013 Early Active Learning via Robust Representation and Structured Sparsity Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

ECML-PKDD 2013 Minimal Shrinkage for Noisy Data Recovery Using Schatten-P Norm Objective Deguang Kong, Miao Zhang, Chris H. Q. Ding

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

IJCAI 2013 Social Trust Prediction Using Rank-K Matrix Recovery Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding

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

AAAI 2013 Uncorrelated Lasso Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie

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

AAAI 2012 Low-Rank Matrix Recovery via Efficient Schatten P-Norm Minimization Feiping Nie, Heng Huang, Chris H. Q. Ding

ECML-PKDD 2012 Maximum Consistency Preferential Random Walks Deguang Kong, Chris H. Q. Ding

CVPR 2012 Multi-Label ReliefF and F-Statistic Feature Selections for Image Annotation Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao

ECCV 2012 Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-Relational Graph Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding

IJCAI 2011 Angular Decomposition Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang

ICML 2011 Cauchy Graph Embedding Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang

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

ICCV 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 Dyadic Transfer Learning for Cross-Domain Image Classification Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding

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

CVPR 2011 Image Annotation Using Bi-Relational Graph of Images and Semantic Labels Hua Wang, Heng Huang, Chris H. Q. Ding

AAAI 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

AAAI 2011 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

ECML-PKDD 2011 Multi-Subspace Representation and Discovery Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang

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

IJCAI 2011 Robust Principal Component Analysis with Non-Greedy L1-Norm Maximization Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang

ICCV 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

ICCV 2011 Unsupervised and Semi-Supervised Learning via ℓ1-Norm Graph Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

ECML-PKDD 2010 Directed Graph Learning via High-Order Co-Linkage Analysis Hua Wang, Chris H. Q. Ding, Heng Huang

AAAI 2010 Discriminant Laplacian Embedding Hua Wang, Heng Huang, Chris H. Q. Ding

ECCV 2010 Image Categorization Using Directed Graphs Hua Wang, Heng Huang, Chris H. Q. Ding

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

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

ECCV 2010 Multi-Label Feature Transform for Image Classifications Hua Wang, Heng Huang, Chris H. Q. Ding

ECCV 2010 Multi-Label Linear Discriminant Analysis Hua Wang, Chris H. Q. Ding, Heng Huang

MLJ 2010 On the Eigenvectors of P-Laplacian Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie

ICCV 2009 Image Annotation Using Multi-Label Correlated Green's Function Hua Wang, Heng Huang, Chris H. Q. Ding

ECML-PKDD 2009 K-Subspace Clustering Dingding Wang, Chris H. Q. Ding, Tao Li

CVPR 2009 Symmetric Two Dimensional Linear Discriminant Analysis (2DLDA) Dijun Luo, Chris H. Q. Ding, Heng Huang

CVPR 2008 Robust Tensor Factorization Using R1 Norm Heng Huang, Chris H. Q. Ding

CVPR 2008 Tensor Reduction Error Analysis - Applications to Video Compression and Classification Chris H. Q. Ding, Heng Huang, Dijun Luo

ICML 2007 Adaptive Dimension Reduction Using Discriminant Analysis and K-Means Clustering Chris H. Q. Ding, Tao Li

AAAI 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

ICML 2006 R1-PCA: Rotational Invariant L1-Norm Principal Component Analysis for Robust Subspace Factorization Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha

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

ICML 2004 K-Means Clustering via Principal Component Analysis Chris H. Q. Ding, Xiaofeng He

ICML 2004 Linearized Cluster Assignment via Spectral Ordering Chris H. Q. Ding, Xiaofeng He

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