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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
- 2025
[j89]Tengyu Zhang
, Deyu Zeng, Wei Liu, Zongze Wu, Chris Ding, Xiaopin Zhong:
Contrastive independent subspace analysis network for multi-view spatial information extraction. Neural Networks 185: 107105 (2025)- 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]