Chris H. Q. Ding

257 papers A* 84A 25B 12C 5Misc 4Journal 81Unranked 43

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	LEGNet: A Lightweight Edge-Gaussian Network for Low-Quality Remote Sensing Image Object Detection. ICCVW Wei Lu, Sibao Chen, Hui-Dong Li, Qing-Ling Shu, Chris H. Q. Ding, Jin Tang, Bin Luo
2025	J	`jnl`	LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection. CoRR Wei Lu, Si-Bao Chen, Hui-Dong Li, Qing-Ling Shu, Chris H. Q. Ding, Jin Tang, Bin Luo
2025	J	`jnl`	LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks. CoRR Wei Lu, Sibao Chen, Chris H. Q. Ding, Jin Tang, Bin Luo
2025	J	`jnl`	Real-World Remote Sensing Image Dehazing: Benchmark and Baseline. CoRR Zeng-Hui Zhu, Wei Lu, Sibao Chen, Chris H. Q. Ding, Jin Tang, Bin Luo
2025	J	`jnl`	Real-World Remote Sensing Image Dehazing: Benchmark and Baseline. IEEE Trans. Geosci. Remote. Sens. Zeng-Hui Zhu, Wei Lu, Sibao Chen, Chris H. Q. Ding, Jin Tang, Bin Luo
2025	J	`jnl`	SecRASP: Next generation web application security protection methodology and framework. Comput. Secur. Chenggang He, Chris H. Q. Ding
2024	J	`jnl`	DEGANet: Road Extraction Using Dual-Branch Encoder With Gated Attention Mechanism. IEEE Geosci. Remote. Sens. Lett. Huang Li, Sibao Chen, Lili Huang, Chris H. Q. Ding, Jin Tang, Bin Luo
2024	J	`jnl`	Prototype Discriminative Learning for Semi-Supervised Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Zhi-Hui You, Sibao Chen, Jia-Xin Wang, Chris H. Q. Ding, Jin Tang, Bin Luo
2023	J	`jnl`	A Robust Feature Downsampling Module for Remote-Sensing Visual Tasks. IEEE Trans. Geosci. Remote. Sens. Wei Lu, Sibao Chen, Jin Tang, Chris H. Q. Ding, Bin Luo
2023	J	`jnl`	Crossed Siamese Vision Graph Neural Network for Remote-Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. Zhi-Hui You, Jia-Xin Wang, Sibao Chen, Chris H. Q. Ding, Guizhou Wang, Jin Tang, Bin Luo
2023	J	`jnl`	Fine-Grained Truck Re-identification: A Challenge. Cogn. Comput. Sibao Chen, Zi-Han Lin, Chris H. Q. Ding, Bin Luo
2023	J	`jnl`	Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. IEEE Trans. Medical Imaging Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu
2023	J	`jnl`	Model Compression Based on Differentiable Network Channel Pruning. IEEE Trans. Neural Networks Learn. Syst. Yu-Jie Zheng, Sibao Chen, Chris H. Q. Ding, Bin Luo
2022	J	`jnl`	Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. CoRR Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu
2022	J	`jnl`	RanPaste: Paste Consistency and Pseudo Label for Semisupervised Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Jia-Xin Wang, Si-Bao Chen, Chris H. Q. Ding, Jin Tang, Bin Luo
2022	J	`jnl`	SIECP: Neural Network Channel Pruning based on Sequential Interval Estimation. Neurocomputing Si-Bao Chen, Yu-Jie Zheng, Chris H. Q. Ding, Bin Luo
2022	J	`jnl`	Semi-Supervised Semantic Segmentation of Remote Sensing Images With Iterative Contrastive Network. IEEE Geosci. Remote. Sens. Lett. Jia-Xin Wang, Sibao Chen, Chris H. Q. Ding, Jin Tang, Bin Luo
2021	B	`conf`	Intelligent Machine Learning System for Predicting Customer Churn. ICTAI Chenggang He, Chris H. Q. Ding, Sibao Chen, Bin Luo
2021	J	`jnl`	Regularization graph convolutional networks with data augmentation. Neurocomputing Xiu-Zhi Tian, Chris H. Q. Ding, Sibao Chen, Bin Luo, Xin Wang
2021	A	`conf`	SwitchFlow: preemptive multitasking for deep learning. Middleware Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang
2020	J	`jnl`	Graph Convolutional Network Based on Manifold Similarity Learning. Cogn. Comput. Si-Bao Chen, Xiu-Zhi Tian, Chris H. Q. Ding, Bin Luo, Yi Liu, Hao Huang, Qiang Li
2020	—	`conf`	Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder. PRCV (3) Shou-Jiu Xiong, Sibao Chen, Chris H. Q. Ding, Bin Luo
2020	J	`jnl`	Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label. Remote. Sens. Jiaxin Wang, Chris H. Q. Ding, Sibao Chen, Chenggang He, Bin Luo
2019	J	`jnl`	Extended adaptive Lasso for multi-class and multi-label feature selection. Knowl. Based Syst. Sibao Chen, Yu-Mei Zhang, Chris H. Q. Ding, Jian Zhang, Bin Luo
2019	J	`jnl`	Feature selection based on correlation deflation. Neural Comput. Appl. Si-Bao Chen, Chris H. Q. Ding, Zhili Zhou, Bin Luo
2019	B	`conf`	Multiple Back Propagation Network and Metric Fusion for Person Re-identification. IJCNN Sibao Chen, Feng Luo, Bin Luo, Chris H. Q. Ding, Yi Liu
2019	B	`conf`	Pyramid Attention Dense Network for Image Super-Resolution. IJCNN Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang
2019	B	`conf`	SRAGAN: Generating Colour Landscape Photograph from Sketch. IJCNN Sibao Chen, Peng-Cheng Wang, Bin Luo, Chris H. Q. Ding, Jian Zhang
2018	J	`jnl`	A Nonnegative Locally Linear KNN model for image recognition. Pattern Recognit. Si-Bao Chen, Yu-Lan Xu, Chris H. Q. Ding, Bin Luo
2018	J	`jnl`	A discriminative multi-class feature selection method via weighted l Neurocomputing Si-Bao Chen, Ying Zhang, Chris H. Q. Ding, Zhili Zhou, Bin Luo
2018	A*	`conf`	Exercise-Enhanced Sequential Modeling for Student Performance Prediction. AAAI Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu
2018	J	`jnl`	Linear regression based projections for dimensionality reduction. Inf. Sci. Sibao Chen, Chris H. Q. Ding, Bin Luo
2018	J	`jnl`	Regularized Singular Value Decomposition and Application to Recommender System. CoRR Shuai Zheng, Chris H. Q. Ding, Feiping Nie
2017	J	`jnl`	Active Learning for Classification with Maximum Model Change. ACM Trans. Inf. Syst. Wenbin Cai, Yexun Zhang, Ya Zhang, Siyuan Zhou, Wenquan Wang, Zhuoxiang Chen, Chris H. Q. Ding
2017	J	`jnl`	From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding
2017	J	`jnl`	Multiple Images Recovery Using a Single Affine Transformation. CoRR Bo Jiang, Chris H. Q. Ding, Bin Luo
2017	A*	`conf`	Nonnegative Orthogonal Graph Matching. AAAI Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo
2017	A*	`conf`	Rank Ordering Constraints Elimination with Application for Kernel Learning. AAAI Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu
2017	—	`conf`	Saliency Detection via A Graph Based Diffusion Model. GbRPR Zhouqin He, Bo Jiang, Yun Xiao, Chris H. Q. Ding, Bin Luo
2016	J	`jnl`	A Closed Form Solution to Multi-View Low-Rank Regression. CoRR Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2016	B	`conf`	A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang
2016	J	`jnl`	A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. CoRR Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang
2016	B	`conf`	Accelerating Deep Learning with Shrinkage and Recall. ICPADS Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding
2016	J	`jnl`	Accelerating Deep Learning with Shrinkage and Recall. CoRR Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding
2016	J	`jnl`	Kernel Alignment Inspired Linear Discriminant Analysis. CoRR Shuai Zheng, Chris H. Q. Ding
2016	A*	`conf`	Robust Out-of-Sample Data Recovery. IJCAI Bo Jiang, Chris H. Q. Ding, Bin Luo
2015	A*	`conf`	A Closed Form Solution to Multi-View Low-Rank Regression. AAAI Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2015	A*	`conf`	A Local Sparse Model for Matching Problem. AAAI Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo
2015	J	`jnl`	An algorithm framework of sparse minimization for positive definite quadratic forms. Neurocomputing Si-Bao Chen, Chris H. Q. Ding, Bin Luo
2015	J	`jnl`	Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding
2015	J	`jnl`	Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization. Netw. Model. Anal. Health Informatics Bioinform. Ashis Kumer Biswas, Mingon Kang, Dong-Chul Kim, Chris H. Q. Ding, Baoju Zhang, Xiaoyong Wu, Jean X. Gao
2015	J	`jnl`	Joint Schatten p-norm and ℓ Knowl. Inf. Syst. Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2015	J	`jnl`	PCA-guided search for K-means. Pattern Recognit. Lett. Qin Xu, Chris H. Q. Ding, Jinpei Liu, Bin Luo
2015	J	`jnl`	Similarity Learning of Manifold Data. IEEE Trans. Cybern. Si-Bao Chen, Chris H. Q. Ding, Bin Luo
2015	J	`jnl`	eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways. Bioinform. Mingon Kang, Chunling Zhang, Hyung-Wook Chun, Chris H. Q. Ding, Chunyu Liu, Jean Gao
2014	J	`jnl`	A Framework for Hierarchical Ensemble Clustering. ACM Trans. Knowl. Discov. Data Li Zheng, Tao Li, Chris H. Q. Ding
2014	—	`conf`	Active Learning for Support Vector Machines with Maximum Model Change. ECML/PKDD (1) Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris H. Q. Ding, Xiao Gu
2014	B	`conf`	Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding
2014	—	`conf`	Covariate-Correlated Lasso for Feature Selection. ECML/PKDD (1) Bo Jiang, Chris H. Q. Ding, Bin Luo
2014	—	`conf`	Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm. NIPS Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding
2014	J	`jnl`	Extended linear regression for undersampled face recognition. J. Vis. Commun. Image Represent. Sibao Chen, Chris H. Q. Ding, Bin Luo
2014	A*	`conf`	Feature Selection at the Discrete Limit. AAAI Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie
2014	—	`conf`	Kernel Alignment Inspired Linear Discriminant Analysis. ECML/PKDD (3) Shuai Zheng, Chris H. Q. Ding
2014	A*	`conf`	Non-Convex Feature Learning via L_{p, inf} Operator. AAAI Deguang Kong, Chris H. Q. Ding
2014	A*	`conf`	Pairwise-Covariance Linear Discriminant Analysis. AAAI Deguang Kong, Chris H. Q. Ding
2014	A*	`conf`	Robust Non-Negative Dictionary Learning. AAAI Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo
2013	A*	`conf`	Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A	`conf`	Collective Kernel Construction in Noisy Environment. SDM Chris H. Q. Ding, Deguang Kong, Miao Zhang
2013	A*	`conf`	Early Active Learning via Robust Representation and Structured Sparsity. IJCAI Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. ICDM Deguang Kong, Chris H. Q. Ding
2013	J	`jnl`	Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Graph-Laplacian PCA: Closed-Form Solution and Robustness. CVPR Bo Jiang, Chris H. Q. Ding, Bin Luo, Jin Tang
2013	A*	`conf`	Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013	—	`conf`	Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective. ECML/PKDD (2) Deguang Kong, Miao Zhang, Chris H. Q. Ding
2013	J	`jnl`	Non-negative Tri-factor tensor decomposition with applications. Knowl. Inf. Syst. Zhongyuan Zhang, Tao Li, Chris H. Q. Ding
2013	—	`ch.`	Nonnegative Matrix Factorizations for Clustering: A Survey. Data Clustering: Algorithms and Applications Tao Li, Chris H. Q. Ding
2013	A*	`conf`	On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. KDD Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2013	J	`jnl`	Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2013	A	`conf`	Probabilistic solutions of influence propagation on social networks. CIKM Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen
2013	A*	`conf`	Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. IJCAI Hua Wang, Heng Huang, Chris H. Q. Ding
2013	J	`jnl`	Robust Manifold Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Robust Tucker Tensor Decomposition for Effective Image Representation. ICCV Miao Zhang, Chris H. Q. Ding
2013	A*	`conf`	Social Trust Prediction Using Rank-k Matrix Recovery. IJCAI Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding
2013	A*	`conf`	Supervised and Projected Sparse Coding for Image Classification. AAAI Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013	J	`jnl`	Toward structural sparsity: an explicit ℓ Knowl. Inf. Syst. Dijun Luo, Chris H. Q. Ding, Heng Huang
2013	A*	`conf`	Uncorrelated Lasso. AAAI Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie
2012	A*	`conf`	A Semi-definite Positive Linear Discriminant Analysis and Its Applications. ICDM Deguang Kong, Chris H. Q. Ding
2012	—	`conf`	An Efficient Algorithm for Feature Selection with Feature Correlation. IScIDE Lili Huang, Jin Tang, Sibao Chen, Chris H. Q. Ding, Bin Luo
2012	A*	`conf`	An Iterative Locally Linear Embedding Algorithm. ICML Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie
2012	Misc	`conf`	An efficient algorithm for L1-norm principal component analysis. ICASSP Linbin Yu, Miao Zhang, Chris H. Q. Ding
2012	J	`jnl`	Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking. IEEE Trans. Syst. Man Cybern. Part B Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding, Jian Chen
2012	—	`conf`	Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
2012	B	`conf`	Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding
2012	A	`conf`	Infobox suggestion for Wikipedia entities. CIKM Afroza Sultana, Quazi Mainul Hasan, Ashis Kumer Biswas, Soumyava Das, Habibur Rahman, Chris H. Q. Ding, Chengkai Li
2012	J	`jnl`	Joint stage recognition and anatomical annotation of Bioinform. Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
2012	A*	`conf`	Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI Feiping Nie, Heng Huang, Chris H. Q. Ding
2012	—	`conf`	Maximum Consistency Preferential Random Walks. ECML/PKDD (2) Deguang Kong, Chris H. Q. Ding
2012	A*	`conf`	Multi-label ReliefF and F-statistic feature selections for image annotation. CVPR Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao
2012	Misc	`conf`	Nonnegative matrix factorization using a robust error function. ICASSP Chris H. Q. Ding, Deguang Kong
2012	A*	`conf`	Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM Dijun Luo, Chris H. Q. Ding, Heng Huang
2012	B	`conf`	Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2012	—	`conf`	Robust Integrated Locally Linear Embedding. CCBR Li-Li Zhang, Ying Xie, Bin Luo, Chris H. Q. Ding, Jin Tang
2012	—	`conf`	Robust Kernel Nonnegative Matrix Factorization. ICDM Workshops Zhichen Xia, Chris H. Q. Ding, Edmond Chow
2012	A*	`conf`	Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding
2012	—	`conf`	Selective Labeling via Error Bound Minimization. NIPS Quanquan Gu, Tong Zhang, Chris H. Q. Ding, Jiawei Han
2012	—	`conf`	Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. ECCV (6) Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
2012	A	`conf`	Symmetric Nonnegative Matrix Factorization for Graph Clustering. SDM Da Kuang, Haesun Park, Chris H. Q. Ding
2012	J	`jnl`	Towards a bridge between cost and wealth in risk-aware planning. Appl. Intell. Yong Lin, Fillia Makedon, Chris H. Q. Ding
2011	A*	`conf`	Angular Decomposition. IJCAI Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang
2011	—	`conf`	Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. PAKDD (1) Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	A*	`conf`	Cauchy Graph Embedding. ICML Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang
2011	A*	`conf`	Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	J	`jnl`	Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding
2011	A*	`conf`	Consensus spectral clustering in near-linear time. ICDE Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
2011	A*	`conf`	Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding
2011	A*	`conf`	Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV Dijun Luo, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Dyadic transfer learning for cross-domain image classification. ICCV Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	C	`conf`	Gaussian Process for Recommender Systems. KSEM Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He
2011	—	`conf`	Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	J	`jnl`	Guest editorial: special issue on data mining with matrices, graphs and tensors. Data Min. Knowl. Discov. Tao Li, Chris H. Q. Ding, Fei Wang
2011	A*	`conf`	Image annotation using bi-relational graph of images and semantic labels. CVPR Hua Wang, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases. AAAI Chao Shen, Tao Li, Chris H. Q. Ding
2011	A*	`conf`	Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	A	`conf`	Low-order tensor decompositions for social tagging recommendation. WSDM Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy
2011	—	`conf`	Maximum Margin Multi-Instance Learning. NIPS Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding
2011	A*	`conf`	Multi-Class L2, 1-Norm Support Vector Machine. ICDM Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	—	`conf`	Multi-Subspace Representation and Discovery. ECML/PKDD (2) Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang
2011	A*	`conf`	Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF. IJCAI Quanquan Gu, Chris H. Q. Ding, Jiawei Han
2011	A*	`conf`	Robust Principal Component Analysis with Non-Greedy l IJCAI Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang
2011	A	`conf`	Robust nonnegative matrix factorization using L21-norm. CIKM Deguang Kong, Chris H. Q. Ding, Heng Huang
2011	A	`conf`	Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. CIKM Hua Wang, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen
2011	A*	`conf`	Tensor Fold-in Algorithms for Social Tagging Prediction. ICDM Miao Zhang, Chris H. Q. Ding, Zhifang Liao
2011	A*	`conf`	Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2010	J	`jnl`	Binary matrix factorization for analyzing gene expression data. Data Min. Knowl. Discov. Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xian-Wen Ren, Xiang-Sun Zhang
2010	A	`conf`	Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. SDM Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang
2010	A*	`conf`	Closed form solution of similarity algorithms. SIGIR Yuanzhe Cai, Miao Zhang, Chris H. Q. Ding, Sharma Chakravarthy
2010	A	`conf`	Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. SDM Quanquan Gu, Jie Zhou, Chris H. Q. Ding
2010	J	`jnl`	Convex and Semi-Nonnegative Matrix Factorizations. IEEE Trans. Pattern Anal. Mach. Intell. Chris H. Q. Ding, Tao Li, Michael I. Jordan
2010	J	`jnl`	Determining modular organization of protein interaction networks by maximizing modularity density. BMC Syst. Biol. Shi-Hua Zhang, Xue-Mei Ning, Chris H. Q. Ding, Xiang-Sun Zhang
2010	—	`conf`	Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) Hua Wang, Chris H. Q. Ding, Heng Huang
2010	A*	`conf`	Discriminant Laplacian Embedding. AAAI Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. NIPS Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding
2010	A	`conf`	Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. CIKM Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding
2010	A*	`conf`	Feature subset non-negative matrix factorization and its applications to document understanding. SIGIR Dingding Wang, Chris H. Q. Ding, Tao Li
2010	A*	`conf`	Hierarchical Ensemble Clustering. ICDM Li Zheng, Tao Li, Chris H. Q. Ding
2010	—	`conf`	Image Categorization Using Directed Graphs. ECCV (3) Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang
2010	—	`conf`	Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering. ICDM Workshops Zhichen Xia, Chris H. Q. Ding
2010	—	`conf`	Modeling reliability for wireless sensor node coverage in assistive testbeds. PETRA Zhengyi Le, Eric Becker, Dimitrios G. Konstantinides, Chris H. Q. Ding, Fillia Makedon
2010	A*	`conf`	Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI Hua Wang, Chris H. Q. Ding, Heng Huang
2010	—	`conf`	Multi-label Feature Transform for Image Classifications. ECCV (4) Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Multi-label Linear Discriminant Analysis. ECCV (6) Hua Wang, Chris H. Q. Ding, Heng Huang
2010	—	`conf`	Network community discovery: solving modularity clustering via normalized cut. MLG@KDD Linbin Yu, Chris H. Q. Ding
2010	J	`jnl`	On the eigenvectors of Mach. Learn. Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie
2010	A*	`conf`	Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM Dijun Luo, Chris H. Q. Ding, Heng Huang
2010	A*	`conf`	Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding. ICDM Dingding Wang, Tao Li, Chris H. Q. Ding
2009	J	`jnl`	Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms CoRR Dijun Luo, Heng Huang, Chris H. Q. Ding
2009	A*	`conf`	Consensus group stable feature selection. KDD Steven Loscalzo, Lei Yu, Chris H. Q. Ding
2009	—	`ch.`	Dimension Reduction Techniques for Clustering. Encyclopedia of Database Systems Chris H. Q. Ding
2009	A*	`conf`	Image annotation using multi-label correlated Green's function. ICCV Hua Wang, Heng Huang, Chris H. Q. Ding
2009	A	`conf`	Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. SDM Fei Wang, Chris H. Q. Ding, Tao Li
2009	—	`conf`	K-Subspace Clustering. ECML/PKDD (2) Dingding Wang, Chris H. Q. Ding, Tao Li
2009	J	`jnl`	KDD2009 workshop report DMMT'09: data mining using matrices and tensors. SIGKDD Explor. Chris H. Q. Ding, Tao Li
2009	A*	`conf`	Knowledge transformation for cross-domain sentiment classification. SIGIR Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang
2009	C	`conf`	Label Propagation on K-partite Graphs. ICMLA Chris H. Q. Ding, Tao Li, Dingding Wang
2009	A*	`conf`	Non-negative Laplacian Embedding. ICDM Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li
2009	—	`ed.`	Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, Paris, France, June 28, 2009 KDD Workshop on Data Mining using Matrices and Tensors Chris H. Q. Ding, Tao Li
2009	A*	`conf`	Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR Dijun Luo, Chris H. Q. Ding, Heng Huang
2008	J	`jnl`	Efficient Parallel I/O in Community Atmosphere Model (CAM). Int. J. High Perform. Comput. Appl. Yu-heng Tseng, Chris H. Q. Ding
2008	J	`jnl`	KDD2008 workshop report DMMT'08: data mining using matrices and tensors. SIGKDD Explor. Chris H. Q. Ding, Tao Li, Shenghuo Zhu
2008	A*	`conf`	Knowledge transformation from word space to document space. SIGIR Tao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao
2008	A*	`conf`	Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. SIGIR Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. Ding
2008	A*	`conf`	Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. ICDM Chris H. Q. Ding, Tao Li, Michael I. Jordan
2008	J	`jnl`	On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing. Comput. Stat. Data Anal. Chris H. Q. Ding, Tao Li, Wei Peng
2008	A*	`conf`	Posterior probabilistic clustering using NMF. SIGIR Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng
2008	A*	`conf`	Robust tensor factorization using R1 norm. CVPR Heng Huang, Chris H. Q. Ding
2008	A*	`conf`	Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. KDD Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li
2008	A*	`conf`	Stable feature selection via dense feature groups. KDD Lei Yu, Chris H. Q. Ding, Steven Loscalzo
2008	A*	`conf`	Tensor reduction error analysis - Applications to video compression and classification. CVPR Chris H. Q. Ding, Heng Huang, Dijun Luo
2008	A	`conf`	Weighted Consensus Clustering. SDM Tao Li, Chris H. Q. Ding
2007	C	`conf`	A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. BIBE Yi Zhang, Chris H. Q. Ding, Tao Li
2007	A*	`conf`	A learning framework using Green's function and kernel regularization with application to recommender system. KDD Chris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon
2007	A*	`conf`	Adaptive dimension reduction using discriminant analysis and ICML Chris H. Q. Ding, Tao Li
2007	A*	`conf`	Binary Matrix Factorization with Applications. ICDM Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiang-Sun Zhang
2007	—	`conf`	Finding Hotspots in Document Collection. ICTAI (1) Wei Peng, Chris H. Q. Ding, Tao Li, Tong Sun
2007	A*	`conf`	Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. ICDM Tao Li, Chris H. Q. Ding, Michael I. Jordan
2006	A*	`conf`	Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. ICDM Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook
2006	J	`jnl`	Dynamic Cluster Formation Using Level Set Methods. IEEE Trans. Pattern Anal. Mach. Intell. Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
2006	A*	`conf`	NMF and PLSI: equivalence and a hybrid algorithm. SIGIR Chris H. Q. Ding, Tao Li, Wei Peng
2006	A*	`conf`	Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method. AAAI Chris H. Q. Ding, Tao Li, Wei Peng
2006	A*	`conf`	Orthogonal nonnegative matrix t-factorizations for clustering. KDD Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park
2006	J	`jnl`	PSoL: a positive sample only learning algorithm for finding non-coding RNA genes. Bioinform. Chunlin Wang, Chris H. Q. Ding, Richard F. Meraz, Stephen R. Holbrook
2006	C	`conf`	Supernova Recognition Using Support Vector Machines. ICMLA Raquel A. Romano, Cecilia R. Aragon, Chris H. Q. Ding
2006	A*	`conf`	The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. ICDM Tao Li, Chris H. Q. Ding
2006	J	`jnl`	Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques. Int. J. Data Min. Bioinform. Chris H. Q. Ding, Xiaofeng He, Hui Xiong, Hanchuan Peng, Stephen R. Holbrook
2005	A	`conf`	2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM Chris H. Q. Ding, Jieping Ye
2005	C	`conf`	A Multi-Level Approach to SCOP Fold Recognition. BIBE Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding
2005	—	`conf`	A Probabilistic Approach for Optimizing Spectral Clustering. NIPS Rong Jin, Chris H. Q. Ding, Feng Kang
2005	J	`jnl`	A probabilistic model for Latent Semantic Indexing. J. Assoc. Inf. Sci. Technol. Chris H. Q. Ding
2005	J	`jnl`	CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model. Int. J. High Perform. Comput. Appl. Anthony P. Craig, Robert L. Jacob, Brian Kauffman, Thomas Bettge, Jay Walter Larson, Everest T. Ong, Chris H. Q. Ding, Yun He
2005	—	`conf`	Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. PKDD Chris H. Q. Ding, Xiaofeng He
2005	J	`jnl`	Comparative mapping of sequence-based and structure-based protein domains. BMC Bioinform. Ya Zhang, John-Marc Chandonia, Chris H. Q. Ding, Stephen R. Holbrook
2005	J	`jnl`	Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures. Int. J. High Perform. Comput. Appl. Yun He, Chris H. Q. Ding
2005	B	`conf`	Dynamic Cluster Formation Using Level Set Methods. PAKDD Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
2005	J	`jnl`	Evolving Feature Selection. IEEE Intell. Syst. Huan Liu, 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, Lei Yu, George Forman
2005	J	`jnl`	Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy. IEEE Trans. Pattern Anal. Mach. Intell. Hanchuan Peng, Fuhui Long, Chris H. Q. Ding
2005	—	`conf`	Finding cliques in protein interaction networks via transitive closure of a weighted graph. BIOKDD Chris H. Q. Ding, Xiaofeng He, Hanchuan Peng
2005	Misc	`conf`	Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. Pacific Symposium on Biocomputing Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook
2005	J	`jnl`	Minimum Redundancy Feature Selection from Microarray Gene Expression Data. J. Bioinform. Comput. Biol. Chris H. Q. Ding, Hanchuan Peng
2005	—	`conf`	Nonnegative Lagrangian Relaxation of ECML Chris H. Q. Ding, Xiaofeng He, Horst D. Simon
2005	A	`conf`	On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. SDM Chris H. Q. Ding, Xiaofeng He
2005	J	`jnl`	Term norm distribution and its effects on Latent Semantic Indexing. Inf. Process. Manag. Parry Husbands, Horst D. Simon, Chris H. Q. Ding
2004	B	`conf`	Cluster Structure of K-means Clustering via Principal Component Analysis. PAKDD Chris H. Q. Ding, Xiaofeng He
2004	—	`conf`	Contraction Graphs for Representation and Analysis of RNA Secondary Structure. CSB Chris H. Q. Ding, Richard F. Meraz, Xiaofeng He, Stephen R. Holbrook
2004	A	`conf`	Integrating Program Component Executables on Distributed Memory Architectures via MPH. IPDPS Chris H. Q. Ding, Yun He
2004	Misc	`conf`	K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. SAC Chris H. Q. Ding, Xiaofeng He
2004	A*	`conf`	Linearized cluster assignment via spectral ordering. ICML Chris H. Q. Ding, Xiaofeng He
2004	J	`jnl`	Link Analysis: Hubs and Authorities on the World Wide Web. SIAM Rev. Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, Parry Husbands, Horst D. Simon
2004	—	`conf`	Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli. CSB Richard F. Meraz, Xiaofeng He, Chris H. Q. Ding, Stephen R. Holbrook
2004	A	`conf`	Principal Component Analysis and Effective K-Means Clustering. SDM Chris H. Q. Ding, Xiaofeng He
2003	A*	`conf`	Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. IJCAI Chris H. Q. Ding
2003	—	`conf`	Minimum Redundancy Feature Selection from Microarray Gene Expression Data. CSB Chris H. Q. Ding, Hanchuan Peng
2003	A	`conf`	PageRank: HITS and a Unified Framework for Link Analysis. SDM Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon
2003	A*	`conf`	Structure Search and Stability Enhancement of Bayesian Networks. ICDM Hanchuan Peng, Chris H. Q. Ding
2003	J	`jnl`	Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis. Bioinform. Chris H. Q. Ding
2002	A*	`conf`	Adaptive dimension reduction for clustering high dimensional data. ICDM Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon
2002	—	`conf`	An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. WOMPAT Yun He, Chris H. Q. Ding
2002	B	`conf`	Analysis of gene expression profiles: class discovery and leaf ordering. RECOMB Chris H. Q. Ding
2002	A*	`conf`	Cluster merging and splitting in hierarchical clustering algorithms. ICDM Chris H. Q. Ding, Xiaofeng He
2002	J	`jnl`	MPI and OpenMP Paradigms on Cluster of SMP Architectures: The Vacancy Tracking Algorithm for Multi-Dimensional Array Transposition. Parallel Distributed Comput. Pract. Yun He, Chris H. Q. Ding
2002	A	`conf`	MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multi-dimensional array transposition. SC Yun He, Chris H. Q. Ding
2002	A*	`conf`	PageRank, HITS and a unified framework for link analysis. SIGIR Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon
2002	—	`conf`	Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon
2002	J	`jnl`	Web document clustering using hyperlink structures. Comput. Stat. Data Anal. Xiaofeng He, Hongyuan Zha, Chris H. Q. Ding, Horst D. Simon
2001	A*	`conf`	A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. ICDM Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon
2001	A	`conf`	A ghost cell expansion method for reducing communications in solving PDE problems. SC Chris H. Q. Ding, Yun He
2001	A*	`conf`	A spectral method to separate disconnected and nearly-disconnected web graph components. KDD Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha
2001	J	`jnl`	An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures. IEEE Trans. Parallel Distributed Syst. Chris H. Q. Ding
2001	A*	`conf`	Automatic Topic Identification Using Webpage Clustering. ICDM Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon
2001	A	`conf`	Bipartite Graph Partitioning and Data Clustering. CIKM Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001	J	`jnl`	Bipartite graph partitioning and data clustering CoRR Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001	J	`jnl`	High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow. J. Supercomput. Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu
2001	J	`jnl`	Multi-class protein fold recognition using support vector machines and neural networks. Bioinform. Chris H. Q. Ding, Inna Dubchak
2001	—	`conf`	Spectral Relaxation for K-means Clustering. NIPS Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001	J	`jnl`	Using Accurate Arithmetics to Improve Numerical Reproducibility and Stability in Parallel Applications. J. Supercomput. Yun He, Chris H. Q. Ding
2000	A	`conf`	Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications. ICS Yun He, Chris H. Q. Ding
1999	A	`conf`	A Parallel Implementation of the TOUGH2 Software Package for Large Scale Multiphase Fluid and Heat Flow Simulations. SC Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu, Karsten Pruess
1999	A*	`conf`	A Similarity-based Probability Model for Latent Semantic Indexing. SIGIR Chris H. Q. Ding
1999	A	`conf`	Data Organization and I/O in a Parallel Ocean Circulation Model. SC Chris H. Q. Ding, Yun He
1999	J	`jnl`	High Performance Fortran for practical scientific algorithms: An up-to-date evaluation. Future Gener. Comput. Syst. Chris H. Q. Ding
1999	—	`conf`	Parallel Algorithms for 1D FFTs on Real Numbers. PP Chris H. Q. Ding
1998	—	`conf`	Atmosperic Data Assimilation on Distributed-Memory Parallel Supercomputers. HPCN Europe Chris H. Q. Ding, Peter M. Lyster, Jay Walter Larson, Jing Guo, Arlindo M. da Silva
1998	—	`conf`	Evaluations of HPF for Practical Scientific Algorithms on T3E. HPCN Europe Chris H. Q. Ding
1997	A	`conf`	Parallel Computing at the NASA Data Assimilation Office (DAO). SC 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