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ORCIDChris Ding
Chris H. Q. Ding – Hong Q. Ding – 丁宏强
Person information
- affiliation: The Chinese University of Hong Kong, Shenzhen, China
- affiliation (former): University of Texas at Arlington, Department of Computer Science and Engineering
- affiliation (former): University of California, Berkeley, Lawrence Berkeley National Laboratory
- affiliation (former): NASA, Jet Propulsion Laboratory
- affiliation (former): California Institute of Technology, Concurrent Supercomputer Facilities
- unicode name: 丁宏强
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2020 – today
- 2024
[j88]Wen-Bin Wu
, Sibao Chen, Chris Ding, Bin Luo:
Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization. Cogn. Comput. 16(2): 654-670 (2024)- [j87]Deyu Zeng, Chris Ding, Zongze Wu, Xiaopin Zhong, Weixiang Liu:
Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm. Knowl. Based Syst. 286: 111392 (2024) - [j86]Huang Li, Sibao Chen, Lili Huang, Chris H. Q. Ding, Jin Tang, Bin Luo:
DEGANet: Road Extraction Using Dual-Branch Encoder With Gated Attention Mechanism. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j85]Zhi-Hui You, Sibao Chen, Jia-Xin Wang, Chris H. Q. Ding, Jin Tang, Bin Luo:
Prototype Discriminative Learning for Semi-Supervised Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j84]Beibei Wang, Bo Jiang, Chris Ding:
FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks. IEEE Trans. Netw. Sci. Eng. 11(1): 750-760 (2024) - [c194]Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI 2024: 20185-20193 - [c193]Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding:
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. ICLR 2024 - [c192]Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan:
Learning Graph Representation via Graph Entropy Maximization. ICML 2024 - [i20]Han Lu, Fangfang Li, Quanxue Gao, Cheng Deng, Chris Ding, Qianqian Wang:
Fuzzy K-Means Clustering without Cluster Centroids. CoRR abs/2404.04940 (2024) - [i19]Ziheng Sun, Chris Ding, Jicong Fan:
K-means Derived Unsupervised Feature Selection using Improved ADMM. CoRR abs/2411.15197 (2024) - 2023
- [j83]Deyu Zeng, Jing Sun, Zongze Wu, Chris Ding, Zhigang Ren:
Data representation learning via dictionary learning and self-representation. Appl. Intell. 53(22): 26988-27000 (2023) - [j82]Sibao Chen, Zi-Han Lin, Chris H. Q. Ding, Bin Luo:
Fine-Grained Truck Re-identification: A Challenge. Cogn. Comput. 15(6): 1947-1960 (2023) - [j81]Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao:
Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5187-5202 (2023) - [j80]Wen-Bin Wu, Jun-Jun Sun, Sibao Chen, Chris Ding, Bin Luo:
Combinatorial online high-order interactive feature selection based on dynamic graph convolution network. Signal Process. 212: 109133 (2023) - [j79]Wei Lu, Sibao Chen, Jin Tang, Chris H. Q. Ding, Bin Luo:
A Robust Feature Downsampling Module for Remote-Sensing Visual Tasks. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j78]Zhi-Hui You, Jia-Xin Wang, Sibao Chen, Chris H. Q. Ding, Guizhou Wang, Jin Tang, Bin Luo:
Crossed Siamese Vision Graph Neural Network for Remote-Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j77]Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu:
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. IEEE Trans. Medical Imaging 42(5): 1388-1400 (2023) - [j76]Yu-Jie Zheng, Sibao Chen, Chris H. Q. Ding, Bin Luo:
Model Compression Based on Differentiable Network Channel Pruning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10203-10212 (2023) - [c191]Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou:
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. MICCAI (1) 2023: 706-716 - [c190]Dong Qiao, Chris Ding, Jicong Fan:
Federated Spectral Clustering via Secure Similarity Reconstruction. NeurIPS 2023 - [c189]Ziheng Sun, Chris Ding, Jicong Fan:
Lovász Principle for Unsupervised Graph Representation Learning. NeurIPS 2023 - [i18]Yixiong Chen, Li Liu, Chris Ding:
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models. CoRR abs/2305.10843 (2023) - [i17]Wenwen Min, Taosheng Xu, Chris Ding:
Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection. CoRR abs/2308.06740 (2023) - 2022
- [j75]Huifang Xu, Bo Jiang, Chris Ding:
MvInf: Social Influence Prediction with Multi-view Graph Attention Learning. Cogn. Comput. 14(3): 1182-1188 (2022) - [j74]Si-Bao Chen, Yu-Jie Zheng, Chris H. Q. Ding, Bin Luo:
SIECP: Neural Network Channel Pruning based on Sequential Interval Estimation. Neurocomputing 481: 1-10 (2022) - [j73]Jia-Xin Wang, Sibao Chen, Chris H. Q. Ding, Jin Tang, Bin Luo:
Semi-Supervised Semantic Segmentation of Remote Sensing Images With Iterative Contrastive Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j72]Deyu Zeng, Zongze Wu, Chris Ding, Zhigang Ren, Qingyu Yang, Shengli Xie:
Labeled-Robust Regression: Simultaneous Data Recovery and Classification. IEEE Trans. Cybern. 52(6): 5026-5039 (2022) - [j71]Jia-Xin Wang, Si-Bao Chen, Chris H. Q. Ding, Jin Tang, Bin Luo:
RanPaste: Paste Consistency and Pseudo Label for Semisupervised Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c188]Haoming He, Deyu Zeng, Chris Ding, Zongze Wu:
Data Representation and Clustering with Double Low-Rank Constraints. ICONIP (4) 2022: 79-91 - [i16]Yixiong Chen, Jingxian Li, Hua Jiang, Li Liu, Chris Ding:
MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models. CoRR abs/2206.01408 (2022) - [i15]Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR abs/2210.17178 (2022) - [i14]Yixiong Chen, Jingxian Li, Chris Ding, Li Liu:
Rethinking Two Consensuses of the Transferability in Deep Learning. CoRR abs/2212.00399 (2022) - [i13]Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu:
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. CoRR abs/2212.04097 (2022) - 2021
- [j70]Xiu-Zhi Tian, Chris H. Q. Ding, Sibao Chen, Bin Luo, Xin Wang:
Regularization graph convolutional networks with data augmentation. Neurocomputing 436: 92-102 (2021) - [j69]Feiping Nie, Lai Tian, Heng Huang, Chris Ding:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. 30: 5277-5286 (2021) - [j68]Zongze Wu, Sihui Liu, Chris Ding, Zhigang Ren, Shengli Xie:
Learning Graph Similarity With Large Spectral Gap. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1590-1600 (2021) - [c187]Chenggang He, Chris H. Q. Ding, Sibao Chen, Bin Luo:
Intelligent Machine Learning System for Predicting Customer Churn. ICTAI 2021: 522-527 - [c186]Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang:
SwitchFlow: preemptive multitasking for deep learning. Middleware 2021: 146-158 - 2020
- [j67]Si-Bao Chen, Xiu-Zhi Tian, Chris H. Q. Ding, Bin Luo, Yi Liu, Hao Huang, Qiang Li:
Graph Convolutional Network Based on Manifold Similarity Learning. Cogn. Comput. 12(6): 1144-1153 (2020) - [j66]Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding:
Double robust principal component analysis. Neurocomputing 391: 119-128 (2020) - [j65]Shuai Zheng, Chris Ding:
A group lasso based sparse KNN classifier. Pattern Recognit. Lett. 131: 227-233 (2020) - [j64]Jiaxin Wang, Chris H. Q. Ding, Sibao Chen, Chenggang He, Bin Luo:
Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label. Remote. Sens. 12(21): 3603 (2020) - [j63]Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding:
Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3269-3279 (2020) - [j62]Bo Jiang, Chris Ding:
Revisiting L2, 1-Norm Robustness With Vector Outlier Regularization. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5624-5629 (2020) - [c185]Shou-Jiu Xiong, Sibao Chen, Chris H. Q. Ding, Bin Luo:
Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder. PRCV (3) 2020: 446-459 - [i12]Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding, Hei Victor Cheng, Li Liu:
Towards Class-Specific Unit. CoRR abs/2011.10951 (2020)
2010 – 2019
- 2019
- [j61]Shuai Zheng, Chris Ding:
Sparse classification using Group Matching Pursuit. Neurocomputing 338: 83-91 (2019) - [j60]Sibao Chen, Yu-Mei Zhang, Chris H. Q. Ding, Jian Zhang, Bin Luo:
Extended adaptive Lasso for multi-class and multi-label feature selection. Knowl. Based Syst. 173: 28-36 (2019) - [j59]Si-Bao Chen, Chris H. Q. Ding, Zhili Zhou, Bin Luo:
Feature selection based on correlation deflation. Neural Comput. Appl. 31(10): 6383-6392 (2019) - [j58]Quanxue Gao, Sai Xu, Fang Chen, Chris Ding, Xinbo Gao, Yunsong Li:
${R}_1$ -2-DPCA and Face Recognition. IEEE Trans. Cybern. 49(4): 1212-1223 (2019) - [j57]Bo Jiang, Chris Ding, Jin Tang, Bin Luo:
Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition. IEEE Trans. Cybern. 49(4): 1417-1426 (2019) - [j56]Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang:
Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 31(8): 1520-1531 (2019) - [c184]Di Ming, Chris Ding, Feiping Nie:
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. AAAI 2019: 4586-4593 - [c183]Di Ming, Chris Ding:
Robust Flexible Feature Selection via Exclusive L21 Regularization. IJCAI 2019: 3158-3164 - [c182]Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang:
Pyramid Attention Dense Network for Image Super-Resolution. IJCNN 2019: 1-8 - [c181]Sibao Chen, Feng Luo, Bin Luo, Chris H. Q. Ding, Yi Liu:
Multiple Back Propagation Network and Metric Fusion for Person Re-identification. IJCNN 2019: 1-8 - [c180]Sibao Chen, Peng-Cheng Wang, Bin Luo, Chris H. Q. Ding, Jian Zhang:
SRAGAN: Generating Colour Landscape Photograph from Sketch. IJCNN 2019: 1-8 - 2018
- [j55]Bo Jiang, Chris Ding, Bin Luo:
Robust data representation using locally linear embedding guided PCA. Neurocomputing 275: 523-532 (2018) - [j54]Si-Bao Chen, Ying Zhang, Chris H. Q. Ding, Zhili Zhou, Bin Luo:
A discriminative multi-class feature selection method via weighted l2, 1-norm and Extended Elastic Net. Neurocomputing 275: 1140-1149 (2018) - [j53]Bo Jiang, Zhouqin He, Chris Ding, Bin Luo:
Saliency detection via a multi-layer graph based diffusion model. Neurocomputing 314: 215-223 (2018) - [j52]Sibao Chen, Chris H. Q. Ding, Bin Luo:
Linear regression based projections for dimensionality reduction. Inf. Sci. 467: 74-86 (2018) - [j51]Si-Bao Chen, Yu-Lan Xu, Chris H. Q. Ding, Bin Luo:
A Nonnegative Locally Linear KNN model for image recognition. Pattern Recognit. 83: 78-90 (2018) - [j50]Si-Bao Chen, Chong Zuo, Chris Ding, Bin Luo:
Non-greedy Max-min Large Margin based on L1-norm. Pattern Recognit. Lett. 108: 38-47 (2018) - [c179]Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu:
Exercise-Enhanced Sequential Modeling for Student Performance Prediction. AAAI 2018: 2435-2443 - [c178]Weiwei Shi, Yihong Gong, Chris Ding, Zhiheng Ma, Xiaoyu Tao, Nanning Zheng:
Transductive Semi-Supervised Deep Learning Using Min-Max Features. ECCV (5) 2018: 311-327 - [r2]Chris Ding:
Dimension Reduction Techniques for Clustering. Encyclopedia of Database Systems (2nd ed.) 2018 - [i11]Shuai Zheng, Chris Ding:
Minimal Support Vector Machine. CoRR abs/1804.02370 (2018) - [i10]Shuai Zheng, Chris H. Q. Ding, Feiping Nie:
Regularized Singular Value Decomposition and Application to Recommender System. CoRR abs/1804.05090 (2018) - 2017
- [j49]Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding:
From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 503-513 (2017) - [j48]Wenbin Cai, Yexun Zhang, Ya Zhang, Siyuan Zhou, Wenquan Wang, Zhuoxiang Chen, Chris H. Q. Ding:
Active Learning for Classification with Maximum Model Change. ACM Trans. Inf. Syst. 36(2): 15:1-15:28 (2017) - [c177]Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu:
Rank Ordering Constraints Elimination with Application for Kernel Learning. AAAI 2017: 2775-2781 - [c176]Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo:
Nonnegative Orthogonal Graph Matching. AAAI 2017: 4089-4095 - [c175]Bo Jiang, Jin Tang, Chris Ding, Bin Luo:
Binary Constraint Preserving Graph Matching. CVPR 2017: 550-557 - [c174]Zhouqin He, Bo Jiang, Yun Xiao, Chris H. Q. Ding, Bin Luo:
Saliency Detection via A Graph Based Diffusion Model. GbRPR 2017: 3-12 - [c173]Bo Jiang, Jin Tang, Chris Ding, Yihong Gong, Bin Luo:
Graph Matching via Multiplicative Update Algorithm. NIPS 2017: 3187-3195 - [i9]Bo Jiang, Chris H. Q. Ding, Bin Luo:
Multiple Images Recovery Using a Single Affine Transformation. CoRR abs/1705.08066 (2017) - [i8]Chris Ding, Bo Jiang:
L1-norm Error Function Robustness and Outlier Regularization. CoRR abs/1705.09954 (2017) - [i7]Bo Jiang, Chris Ding:
Outlier Regularization for Vector Data and L21 Norm Robustness. CoRR abs/1706.06409 (2017) - 2016
- [c172]Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding:
Accelerating Deep Learning with Shrinkage and Recall. ICPADS 2016: 963-970 - [c171]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI 2016: 402-409 - [c170]Bo Jiang, Chris H. Q. Ding, Bin Luo:
Robust Out-of-Sample Data Recovery. IJCAI 2016: 1634-1639 - [i6]Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding:
Accelerating Deep Learning with Shrinkage and Recall. CoRR abs/1605.01369 (2016) - [i5]Shuai Zheng, Chris H. Q. Ding:
Kernel Alignment Inspired Linear Discriminant Analysis. CoRR abs/1610.04576 (2016) - [i4]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. CoRR abs/1610.04631 (2016) - [i3]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. CoRR abs/1610.04668 (2016) - 2015
- [j47]Mingon Kang, Chunling Zhang, Hyung-Wook Chun, Chris H. Q. Ding, Chunyu Liu, Jean Gao:
eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways. Bioinform. 31(5): 656-664 (2015) - [j46]Si-Bao Chen, Chris H. Q. Ding, Bin Luo:
An algorithm framework of sparse minimization for positive definite quadratic forms. Neurocomputing 151: 223-230 (2015) - [j45]Hua Wang, Heng Huang, Chris H. Q. Ding:
Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. J. Comput. Biol. 22(6): 546-562 (2015) - [j44]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery. Knowl. Inf. Syst. 42(3): 525-544 (2015) - [j43]Ashis Kumer Biswas, Mingon Kang, Dong-Chul Kim, Chris H. Q. Ding, Baoju Zhang, Xiaoyong Wu, Jean X. Gao:
Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 9 (2015) - [j42]Qin Xu, Chris H. Q. Ding, Jinpei Liu, Bin Luo:
PCA-guided search for K-means. Pattern Recognit. Lett. 54: 50-55 (2015) - [j41]Si-Bao Chen, Chris H. Q. Ding, Bin Luo:
Similarity Learning of Manifold Data. IEEE Trans. Cybern. 45(9): 1744-1756 (2015) - [c169]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. AAAI 2015: 1973-1979 - [c168]Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo:
A Local Sparse Model for Matching Problem. AAAI 2015: 3790-3796 - 2014
- [j40]Sibao Chen, Chris H. Q. Ding, Bin Luo:
Extended linear regression for undersampled face recognition. J. Vis. Commun. Image Represent. 25(7): 1800-1809 (2014) - [j39]Li Zheng, Tao Li, Chris H. Q. Ding:
A Framework for Hierarchical Ensemble Clustering. ACM Trans. Knowl. Discov. Data 9(2): 9:1-9:23 (2014) - [c167]Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie:
Feature Selection at the Discrete Limit. AAAI 2014: 1355-1361 - [c166]Deguang Kong, Chris H. Q. Ding:
Non-Convex Feature Learning via L_{p, inf} Operator. AAAI 2014: 1918-1924 - [c165]Deguang Kong, Chris H. Q. Ding:
Pairwise-Covariance Linear Discriminant Analysis. AAAI 2014: 1925-1931 - [c164]Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo:
Robust Non-Negative Dictionary Learning. AAAI 2014: 2027-2033 - [c163]Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding:
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm. NIPS 2014: 1655-1663 - [c162]Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris H. Q. Ding, Xiao Gu:
Active Learning for Support Vector Machines with Maximum Model Change. ECML/PKDD (1) 2014: 211-226 - [c161]Shuai Zheng, Chris H. Q. Ding:
Kernel Alignment Inspired Linear Discriminant Analysis. ECML/PKDD (3) 2014: 401-416 - [c160]Bo Jiang, Chris H. Q. Ding, Bin Luo:
Covariate-Correlated Lasso for Feature Selection. ECML/PKDD (1) 2014: 595-606 - [c159]Hua Wang, Heng Huang, Chris H. Q. Ding:
Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. RECOMB 2014: 311-325 - 2013
- [j38]Hua Wang, Heng Huang, Chris H. Q. Ding:
Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. J. Comput. Biol. 20(4): 322-343 (2013) - [j37]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. 20(4): 344-358 (2013) - [j36]Zhongyuan Zhang, Tao Li, Chris H. Q. Ding:
Non-negative Tri-factor tensor decomposition with applications. Knowl. Inf. Syst. 34(2): 243-265 (2013) - [j35]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Toward structural sparsity: an explicit ℓ2/ℓ0 approach. Knowl. Inf. Syst. 36(2): 411-438 (2013) - [j34]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Robust Manifold Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 8(3): 11:1-11:21 (2013) - [c158]Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie:
Uncorrelated Lasso. AAAI 2013: 166-172 - [c157]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Supervised and Projected Sparse Coding for Image Classification. AAAI 2013: 438-444 - [c156]Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen:
Probabilistic solutions of influence propagation on social networks. CIKM 2013: 429-438 - [c155]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR 2013: 3097-3102 - [c154]Bo Jiang, Chris H. Q. Ding, Bin Luo, Jin Tang:
Graph-Laplacian PCA: Closed-Form Solution and Robustness. CVPR 2013: 3492-3498 - [c153]Miao Zhang, Chris H. Q. Ding:
Robust Tucker Tensor Decomposition for Effective Image Representation. ICCV 2013: 2448-2455 - [c152]Deguang Kong, Chris H. Q. Ding:
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. ICDM 2013: 379-388 - [c151]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI 2013: 1565-1571 - [c150]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Early Active Learning via Robust Representation and Structured Sparsity. IJCAI 2013: 1572-1578 - [c149]Hua Wang, Heng Huang, Chris H. Q. Ding:
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. IJCAI 2013: 2049-2056 - [c148]Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding:
Social Trust Prediction Using Rank-k Matrix Recovery. IJCAI 2013: 2647-2653 - [c147]Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. KDD 2013: 1124-1132 - [c146]Deguang Kong, Miao Zhang, Chris H. Q. Ding:
Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective. ECML/PKDD (2) 2013: 177-193 - [c145]Chris H. Q. Ding, Deguang Kong, Miao Zhang:
Collective Kernel Construction in Noisy Environment. SDM 2013: 64-72 - [p1]Tao Li, Chris H. Q. Ding:
Nonnegative Matrix Factorizations for Clustering: A Survey. Data Clustering: Algorithms and Applications 2013: 149-176 - 2012
- [j33]Yong Lin, Fillia Makedon, Chris H. Q. Ding:
Towards a bridge between cost and wealth in risk-aware planning. Appl. Intell. 36(3): 605-616 (2012) - [j32]Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding:
Joint stage recognition and anatomical annotation of drosophila gene expression patterns. Bioinform. 28(12): 16-24 (2012) - [j31]Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding, Jian Chen:
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking. IEEE Trans. Syst. Man Cybern. Part B 42(1): 218-233 (2012) - [c144]Feiping Nie, Heng Huang, Chris H. Q. Ding:
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI 2012: 655-661 - [c143]Li-li Zhang, Ying Xie, Bin Luo, Chris H. Q. Ding, Jin Tang:
Robust Integrated Locally Linear Embedding. CCBR 2012: 364-371 - [c142]Afroza Sultana, Quazi Mainul Hasan, Ashis Kumer Biswas, Soumyava Das, Habibur Rahman, Chris H. Q. Ding, Chengkai Li:
Infobox suggestion for Wikipedia entities. CIKM 2012: 2307-2310 - [c141]Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao:
Multi-label ReliefF and F-statistic feature selections for image annotation. CVPR 2012: 2352-2359 - [c140]Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding:
Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. ECCV (6) 2012: 823-836 - [c139]Linbin Yu, Miao Zhang, Chris H. Q. Ding:
An efficient algorithm for L1-norm principal component analysis. ICASSP 2012: 1377-1380 - [c138]Chris H. Q. Ding, Deguang Kong:
Nonnegative matrix factorization using a robust error function. ICASSP 2012: 2033-2036 - [c137]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM 2012: 489-498 - [c136]Zhichen Xia, Chris H. Q. Ding, Edmond Chow:
Robust Kernel Nonnegative Matrix Factorization. ICDM Workshops 2012: 522-529 - [c135]Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding:
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM 2012: 566-574 - [c134]Deguang Kong, Chris H. Q. Ding:
A Semi-definite Positive Linear Discriminant Analysis and Its Applications. ICDM 2012: 942-947 - [c133]Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie:
An Iterative Locally Linear Embedding Algorithm. ICML 2012 - [c132]Lili Huang, Jin Tang, Sibao Chen, Chris H. Q. Ding, Bin Luo:
An Efficient Algorithm for Feature Selection with Feature Correlation. IScIDE 2012: 639-646 - [c131]Quanquan Gu, Tong Zhang, Chris H. Q. Ding, Jiawei Han:
Selective Labeling via Error Bound Minimization. NIPS 2012: 332-340 - [c130]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012: 2969-2977 - [c129]Deguang Kong, Chris H. Q. Ding:
Maximum Consistency Preferential Random Walks. ECML/PKDD (2) 2012: 339-354 - [c128]Hua Wang, Heng Huang, Chris H. Q. Ding:
Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB 2012: 302-313 - [c127]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB 2012: 314-325 - [c126]Da Kuang, Haesun Park, Chris H. Q. Ding:
Symmetric Nonnegative Matrix Factorization for Graph Clustering. SDM 2012: 106-117 - 2011
- [j30]Tao Li, Chris H. Q. Ding, Fei Wang:
Guest editorial: special issue on data mining with matrices, graphs and tensors. Data Min. Knowl. Discov. 22(3): 337-339 (2011) - [j29]Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding:
Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. 22(3): 493-521 (2011) - [c125]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI 2011: 417-422 - [c124]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI 2011: 423-428 - [c123]Chao Shen, Tao Li, Chris H. Q. Ding:
Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases. AAAI 2011: 914-920 - [c122]Hua Wang, Heng Huang, Chris H. Q. Ding:
Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. CIKM 2011: 279-284 - [c121]Deguang Kong, Chris H. Q. Ding, Heng Huang:
Robust nonnegative matrix factorization using L21-norm. CIKM 2011: 673-682 - [c120]Hua Wang, Heng Huang, Chris H. Q. Ding:
Image annotation using bi-relational graph of images and semantic labels. CVPR 2011: 793-800 - [c119]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Dyadic transfer learning for cross-domain image classification. ICCV 2011: 551-556 - [c118]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen:
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562 - [c117]Dijun Luo, Heng Huang, Chris H. Q. Ding:
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV 2011: 1443-1448 - [c116]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV 2011: 2268-2273 - [c115]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090 - [c114]Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Multi-Class L2, 1-Norm Support Vector Machine. ICDM 2011: 91-100 - [c113]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM 2011: 774-783 - [c112]Miao Zhang, Chris H. Q. Ding, Zhifang Liao:
Tensor Fold-in Algorithms for Social Tagging Prediction. ICDM 2011: 1254-1259 - [c111]Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang:
Cauchy Graph Embedding. ICML 2011: 553-560 - [c110]Quanquan Gu, Chris H. Q. Ding, Jiawei Han:
On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF. IJCAI 2011: 1288-1293 - [c109]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI 2011: 1384-1389 - [c108]Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang:
Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. IJCAI 2011: 1433-1438 - [c107]Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang:
Angular Decomposition. IJCAI 2011: 1505-1510 - [c106]Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He:
Gaussian Process for Recommender Systems. KSEM 2011: 56-67 - [c105]Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding:
Maximum Margin Multi-Instance Learning. NIPS 2011: 1-9 - [c104]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. PAKDD (1) 2011: 148-159 - [c103]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) 2011: 390-404 - [c102]Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang:
Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420 - [c101]Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding:
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR 2011: 933-942 - [c100]Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy:
Low-order tensor decompositions for social tagging recommendation. WSDM 2011: 695-704 - 2010
- [j28]Shi-Hua Zhang, Xue-Mei Ning, Chris H. Q. Ding, Xiang-Sun Zhang:
Determining modular organization of protein interaction networks by maximizing modularity density. BMC Syst. Biol. 4(S-2): S10 (2010) - [j27]Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xian-Wen Ren, Xiang-Sun Zhang:
Binary matrix factorization for analyzing gene expression data. Data Min. Knowl. Discov. 20(1): 28-52 (2010) - [j26]Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie:
On the eigenvectors of p-Laplacian. Mach. Learn. 81(1): 37-51 (2010) - [j25]Chris H. Q. Ding, Tao Li, Michael I. Jordan:
Convex and Semi-Nonnegative Matrix Factorizations. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 45-55 (2010) - [c99]Hua Wang, Heng Huang, Chris H. Q. Ding:
Discriminant Laplacian Embedding. AAAI 2010: 618-623 - [c98]Hua Wang, Chris H. Q. Ding, Heng Huang:
Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI 2010: 1264-1266 - [c97]Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding:
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. CIKM 2010: 1697-1700 - [c96]Hua Wang, Chris H. Q. Ding, Heng Huang:
Multi-label Linear Discriminant Analysis. ECCV (6) 2010: 126-139 - [c95]Hua Wang, Heng Huang, Chris H. Q. Ding:
Image Categorization Using Directed Graphs. ECCV (3) 2010: 762-775 - [c94]Hua Wang, Heng Huang, Chris H. Q. Ding:
Multi-label Feature Transform for Image Classifications. ECCV (4) 2010: 793-806 - [c93]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM 2010: 344-353 - [c92]Dingding Wang, Tao Li, Chris H. Q. Ding:
Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding. ICDM 2010: 541-550 - [c91]Li Zheng, Tao Li, Chris H. Q. Ding:
Hierarchical Ensemble Clustering. ICDM 2010: 1199-1204 - [c90]Zhichen Xia, Chris H. Q. Ding:
Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering. ICDM Workshops 2010: 1249-1256 - [c89]Linbin Yu, Chris H. Q. Ding:
Network community discovery: solving modularity clustering via normalized cut. MLG@KDD 2010: 34-36 - [c88]Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding:
Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. NIPS 2010: 1813-1821 - [c87]Zhengyi Le, Eric Becker, Dimitrios G. Konstantinides, Chris H. Q. Ding, Fillia Makedon:
Modeling reliability for wireless sensor node coverage in assistive testbeds. PETRA 2010 - [c86]Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466 - [c85]Hua Wang, Chris H. Q. Ding, Heng Huang:
Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) 2010: 451-466 - [c84]Quanquan Gu, Jie Zhou, Chris H. Q. Ding:
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. SDM 2010: 199-210 - [c83]Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang:
Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. SDM 2010: 293-302 - [c82]Yuanzhe Cai, Miao Zhang, Chris H. Q. Ding, Sharma Chakravarthy:
Closed form solution of similarity algorithms. SIGIR 2010: 709-710 - [c81]Dingding Wang, Chris H. Q. Ding, Tao Li:
Feature subset non-negative matrix factorization and its applications to document understanding. SIGIR 2010: 805-806
2000 – 2009
- 2009
- [j24]Chris H. Q. Ding, Tao Li:
KDD2009 workshop report DMMT'09: data mining using matrices and tensors. SIGKDD Explor. 11(2): 77-79 (2009) - [c80]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR 2009: 2820-2827 - [c79]Hua Wang, Heng Huang, Chris H. Q. Ding:
Image annotation using multi-label correlated Green's function. ICCV 2009: 2029-2034 - [c78]Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li:
Non-negative Laplacian Embedding. ICDM 2009: 337-346 - [c77]Chris H. Q. Ding, Tao Li, Dingding Wang:
Label Propagation on K-partite Graphs. ICMLA 2009: 273-278 - [c76]Steven Loscalzo, Lei Yu, Chris H. Q. Ding:
Consensus group stable feature selection. KDD 2009: 567-576 - [c75]Dingding Wang, Chris H. Q. Ding, Tao Li:
K-Subspace Clustering. ECML/PKDD (2) 2009: 506-521 - [c74]Fei Wang, Chris H. Q. Ding, Tao Li:
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. SDM 2009: 38-48 - [c73]Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang:
Knowledge transformation for cross-domain sentiment classification. SIGIR 2009: 716-717 - [e1]Chris H. Q. Ding, Tao Li:
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-673-1 [contents] - [r1]Chris H. Q. Ding:
Dimension Reduction Techniques for Clustering. Encyclopedia of Database Systems 2009: 846 - [i2]Dijun Luo, Heng Huang, Chris H. Q. Ding:
Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms. CoRR abs/0902.4521 (2009) - 2008
- [j23]Chris H. Q. Ding, Tao Li, Wei Peng:
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing. Comput. Stat. Data Anal. 52(8): 3913-3927 (2008) - [j22]Yu-heng Tseng, Chris H. Q. Ding:
Efficient Parallel I/O in Community Atmosphere Model (CAM). Int. J. High Perform. Comput. Appl. 22(2): 206-218 (2008) - [j21]Chris H. Q. Ding, Tao Li, Shenghuo Zhu:
KDD2008 workshop report DMMT'08: data mining using matrices and tensors. SIGKDD Explor. 10(2): 54-56 (2008) - [c72]Chris H. Q. Ding, Heng Huang, Dijun Luo:
Tensor reduction error analysis - Applications to video compression and classification. CVPR 2008 - [c71]Heng Huang, Chris H. Q. Ding:
Robust tensor factorization using R1 norm. CVPR 2008 - [c70]Chris H. Q. Ding, Tao Li, Michael I. Jordan:
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. ICDM 2008: 183-192 - [c69]Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li:
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. KDD 2008: 327-335 - [c68]Lei Yu, Chris H. Q. Ding, Steven Loscalzo:
Stable feature selection via dense feature groups. KDD 2008: 803-811 - [c67]Tao Li, Chris H. Q. Ding:
Weighted Consensus Clustering. SDM 2008: 798-809 - [c66]Tao Li, Chris H. Q. Ding, Yi Zhang, Bo Shao:
Knowledge transformation from word space to document space. SIGIR 2008: 187-194 - [c65]Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. Ding:
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. SIGIR 2008: 307-314 - [c64]Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng:
Posterior probabilistic clustering using NMF. SIGIR 2008: 831-832 - 2007
- [c63]Yi Zhang, Chris H. Q. Ding, Tao Li:
A Two-Stage Gene Selection Algorithm by Combining ReliefF and mRMR. BIBE 2007: 164-171 - [c62]Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiang-Sun Zhang:
Binary Matrix Factorization with Applications. ICDM 2007: 391-400 - [c61]Tao Li, Chris H. Q. Ding, Michael I. Jordan:
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. ICDM 2007: 577-582 - [c60]Chris H. Q. Ding, Tao Li:
Adaptive dimension reduction using discriminant analysis and K-means clustering. ICML 2007: 521-528 - [c59]Wei Peng, Chris H. Q. Ding, Tao Li, Tong Sun:
Finding Hotspots in Document Collection. ICTAI (1) 2007: 313-320 - [c58]Chris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon:
A learning framework using Green's function and kernel regularization with application to recommender system. KDD 2007: 260-269 - 2006
- [j20]Chunlin Wang, Chris H. Q. Ding, Richard F. Meraz, Stephen R. Holbrook:
PSoL: a positive sample only learning algorithm for finding non-coding RNA genes. Bioinform. 22(21): 2590-2596 (2006) - [j19]Chris H. Q. Ding, Xiaofeng He, Hui Xiong, Hanchuan Peng, Stephen R. Holbrook:
Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques. Int. J. Data Min. Bioinform. 1(2): 162-177 (2006) - [j18]Andy M. Yip, Chris H. Q. Ding, Tony F. Chan:
Dynamic Cluster Formation Using Level Set Methods. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 877-889 (2006) - [c57]Chris H. Q. Ding, Tao Li, Wei Peng:
Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method. AAAI 2006: 342-347 - [c56]Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook:
Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. ICDM 2006: 178-187 - [c55]Tao Li, Chris H. Q. Ding:
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. ICDM 2006: 362-371 - [c54]Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha:
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. ICML 2006: 281-288 - [c53]Raquel A. Romano, Cecilia R. Aragon, Chris H. Q. Ding:
Supernova Recognition Using Support Vector Machines. ICMLA 2006: 77-82 - [c52]Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park:
Orthogonal nonnegative matrix t-factorizations for clustering. KDD 2006: 126-135 - [c51]Chris H. Q. Ding, Tao Li, Wei Peng:
NMF and PLSI: equivalence and a hybrid algorithm. SIGIR 2006: 641-642 - 2005
- [j17]Ya Zhang, John-Marc Chandonia, Chris H. Q. Ding, Stephen R. Holbrook:
Comparative mapping of sequence-based and structure-based protein domains. BMC Bioinform. 6: 77 (2005) - [j16]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:
Evolving Feature Selection. IEEE Intell. Syst. 20(6): 64-76 (2005) - [j15]Anthony P. Craig, Robert L. Jacob, Brian Kauffman, Thomas Bettge, Jay Walter Larson, Everest T. Ong, Chris H. Q. Ding, Yun He:
CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model. Int. J. High Perform. Comput. Appl. 19(3): 309-327 (2005) - [j14]Yun He, Chris H. Q. Ding:
Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures. Int. J. High Perform. Comput. Appl. 19(3): 329-340 (2005) - [j13]Parry Husbands, Horst D. Simon, Chris H. Q. Ding:
Term norm distribution and its effects on Latent Semantic Indexing. Inf. Process. Manag. 41(4): 777-787 (2005) - [j12]Chris H. Q. Ding:
A probabilistic model for Latent Semantic Indexing. J. Assoc. Inf. Sci. Technol. 56(6): 597-608 (2005) - [j11]Chris H. Q. Ding, Hanchuan Peng:
Minimum Redundancy Feature Selection from Microarray Gene Expression Data. J. Bioinform. Comput. Biol. 3(2): 185-206 (2005) - [j10]Hanchuan Peng, Fuhui Long, Chris H. Q. Ding:
Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1226-1238 (2005) - [c50]Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding:
A Multi-Level Approach to SCOP Fold Recognition. BIBE 2005: 57-64 - [c49]Chris H. Q. Ding, Xiaofeng He, Horst D. Simon:
Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. ECML 2005: 530-538 - [c48]Chris H. Q. Ding, Xiaofeng He, Hanchuan Peng:
Finding cliques in protein interaction networks via transitive closure of a weighted graph. BIOKDD 2005: 69-75 - [c47]Rong Jin, Chris H. Q. Ding, Feng Kang:
A Probabilistic Approach for Optimizing Spectral Clustering. NIPS 2005: 571-578 - [c46]Andy M. Yip, Chris H. Q. Ding, Tony F. Chan:
Dynamic Cluster Formation Using Level Set Methods. PAKDD 2005: 388-398 - [c45]Chris H. Q. Ding, Xiaofeng He:
Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. PKDD 2005: 71-83 - [c44]Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook:
Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. Pacific Symposium on Biocomputing 2005 - [c43]Chris H. Q. Ding, Jieping Ye:
2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005: 32-43 - [c42]Chris H. Q. Ding, Xiaofeng He:
On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering. SDM 2005: 606-610 - 2004
- [j9]Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, Parry Husbands, Horst D. Simon:
Link Analysis: Hubs and Authorities on the World Wide Web. SIAM Rev. 46(2): 256-268 (2004) - [c41]Richard F. Meraz, Xiaofeng He, Chris H. Q. Ding, Stephen R. Holbrook:
Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli. CSB 2004: 535-538 - [c40]Chris H. Q. Ding, Richard F. Meraz, Xiaofeng He, Stephen R. Holbrook:
Contraction Graphs for Representation and Analysis of RNA Secondary Structure. CSB 2004: 716-717 - [c39]Chris H. Q. Ding, Xiaofeng He:
Linearized cluster assignment via spectral ordering. ICML 2004 - [c38]Chris H. Q. Ding, Xiaofeng He:
K-means clustering via principal component analysis. ICML 2004 - [c37]Chris H. Q. Ding, Yun He:
Integrating Program Component Executables on Distributed Memory Architectures via MPH. IPDPS 2004 - [c36]Chris H. Q. Ding, Xiaofeng He:
Cluster Structure of K-means Clustering via Principal Component Analysis. PAKDD 2004: 414-418 - [c35]Chris H. Q. Ding, Xiaofeng He:
K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization. SAC 2004: 584-589 - [c34]Chris H. Q. Ding, Xiaofeng He:
Principal Component Analysis and Effective K-Means Clustering. SDM 2004: 497-501 - 2003
- [j8]Chris H. Q. Ding:
Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis. Bioinform. 19(10): 1259-1266 (2003) - [c33]Chris Ding:
Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks. AISTATS 2003: 85-92 - [c32]Chris H. Q. Ding, Hanchuan Peng:
Minimum Redundancy Feature Selection from Microarray Gene Expression Data. CSB 2003: 523-529 - [c31]Hanchuan Peng, Chris H. Q. Ding:
Structure Search and Stability Enhancement of Bayesian Networks. ICDM 2003: 621-624 - [c30]Chris H. Q. Ding:
Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks. IJCAI 2003: 479-484 - [c29]Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon:
PageRank: HITS and a Unified Framework for Link Analysis. SDM 2003: 249-253 - 2002
- [j7]Xiaofeng He, Hongyuan Zha, Chris H. Q. Ding, Horst D. Simon:
Web document clustering using hyperlink structures. Comput. Stat. Data Anal. 41(1): 19-45 (2002) - [j6]Yun He, Chris H. Q. Ding:
MPI and OpenMP Paradigms on Cluster of SMP Architectures: The Vacancy Tracking Algorithm for Multi-Dimensional Array Transposition. Parallel Distributed Comput. Pract. 5(2) (2002) - [c28]Chris H. Q. Ding, Xiaofeng He:
Cluster merging and splitting in hierarchical clustering algorithms. ICDM 2002: 139-146 - [c27]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon:
Adaptive dimension reduction for clustering high dimensional data. ICDM 2002: 147-154 - [c26]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon:
Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD 2002: 112-124 - [c25]Chris H. Q. Ding:
Analysis of gene expression profiles: class discovery and leaf ordering. RECOMB 2002: 127-136 - [c24]Yun He, Chris H. Q. Ding:
MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multi-dimensional array transposition. SC 2002: 37:1-37:14 - [c23]Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon:
PageRank, HITS and a unified framework for link analysis. SIGIR 2002: 353-354 - [c22]Yun He, Chris H. Q. Ding:
An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping. WOMPAT 2002: 195-210 - 2001
- [j5]Chris H. Q. Ding, Inna Dubchak:
Multi-class protein fold recognition using support vector machines and neural networks. Bioinform. 17(4): 349-358 (2001) - [j4]Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu:
High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow. J. Supercomput. 18(3): 235-258 (2001) - [j3]Yun He, Chris H. Q. Ding:
Using Accurate Arithmetics to Improve Numerical Reproducibility and Stability in Parallel Applications. J. Supercomput. 18(3): 259-277 (2001) - [j2]Chris H. Q. Ding:
An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures. IEEE Trans. Parallel Distributed Syst. 12(3): 306-315 (2001) - [c21]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Bipartite Graph Partitioning and Data Clustering. CIKM 2001: 25-32 - [c20]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon:
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. ICDM 2001: 107-114 - [c19]Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon:
Automatic Topic Identification Using Webpage Clustering. ICDM 2001: 195-202 - [c18]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha:
A spectral method to separate disconnected and nearly-disconnected web graph components. KDD 2001: 275-280 - [c17]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Spectral Relaxation for K-means Clustering. NIPS 2001: 1057-1064 - [c16]Chris H. Q. Ding, Yun He:
A ghost cell expansion method for reducing communications in solving PDE problems. SC 2001: 50 - [i1]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Bipartite graph partitioning and data clustering. CoRR cs.IR/0108018 (2001) - 2000
- [c15]Yun He, Chris H. Q. Ding:
Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications. ICS 2000: 225-234
1990 – 1999
- 1999
- [j1]Chris H. Q. Ding:
High Performance Fortran for practical scientific algorithms: An up-to-date evaluation. Future Gener. Comput. Syst. 15(3): 343-352 (1999) - [c14]Chris H. Q. Ding:
Parallel Algorithms for 1D FFTs on Real Numbers. PP 1999 - [c13]Chris H. Q. Ding, Yun He:
Data Organization and I/O in a Parallel Ocean Circulation Model. SC 1999: 33 - [c12]Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu, Karsten Pruess:
A Parallel Implementation of the TOUGH2 Software Package for Large Scale Multiphase Fluid and Heat Flow Simulations. SC 1999: 52 - [c11]Chris H. Q. Ding:
A Similarity-based Probability Model for Latent Semantic Indexing. SIGIR 1999: 58-65 - 1998
- [c10]Chris H. Q. Ding, Peter M. Lyster, Jay Walter Larson, Jing Guo, Arlindo M. da Silva:
Atmosperic Data Assimilation on Distributed-Memory Parallel Supercomputers. HPCN Europe 1998: 115-124 - [c9]Chris H. Q. Ding:
Evaluations of HPF for Practical Scientific Algorithms on T3E. HPCN Europe 1998: 223-232 - 1997
- [c8]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:
Parallel Computing at the NASA Data Assimilation Office (DAO). SC 1997: 26 - 1996
- [c7]Hong Q. Ding, Robert D. Ferraro:
An Element-Based Concurrent Partitioner for Unstructured Finite Element Meshes. IPPS 1996: 601-605 - [c6]Hong Q. Ding, Robert D. Ferraro:
Climate Data Assimilation on a Massively Parallel Supercomputer. SC 1996: 15 - 1995
- [c5]Hong Q. Ding, Robert D. Ferraro:
A general purpose sparse matrix parallel solvers package. IPPS 1995: 70-76 - [c4]Hong Q. Ding, Robert D. Ferraro, Donald B. Gennery:
A Portable 3D FFT Package for Distributed-Memory Parallel Architectures. PP 1995: 70-71 - [c3]Hong Q. Ding, Robert D. Ferraro:
A General Purpose Sparse Matrix Parallel Solvers Package. PP 1995: 492-493 - [c2]Hong Q. Ding, Robert D. Ferraro:
Slices: A Scalable Partitioner for Finite Element Meshes. PP 1995: 633-634 - 1993
- [c1]Hong Q. Ding:
Monte Carlo simulations of Quantum systems on massively parallel computers. SC 1993: 34-43
Coauthor Index
[j69] [c186] [j56] [j49] [c171] [i4] [i3] [j45] [j44] [c169] [c159] [j38] [j37] [j35] [j34] [c157] [c155] [c151] [c150] [c149] [c148] [c147] [j32] [c144] [c141] [c140] [c137] [c135] [c133] [c130] [c128] [c127] [c125] [c124] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c111] [c109] [c108] [c105] [c104] [c103] [c102] [c101] [j26] [c99] [c98] [c96] [c95] [c94] [c93] [c88] [c86] [c85] [c80] [c79] [c78] [i2] [c72] [c71] [c69]
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