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ORCIDYong Xu 0001
Person information
- affiliation: Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Centre, China
- affiliation (PhD 2005): Nanjing University of Science and Technology, Department of Computer Science, China
Other persons with the same name
- Yong Xu — disambiguation page
- Yong Xu 0002
![[0000-0002-9933-024X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9933-024X")
(aka: Eric Yong Xu) — The Chinese University of Hong Kong, Institute of Future Cities, Hong Kong - Yong Xu 0003 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 3 more)
- Yong Xu 0004 — Tencent America LLC, Seattle, USA (and 2 more)
- Yong Xu 0005 — Zhejiang University, Institute of Cyber-Systems and Control, National Laboratory of Industrial Control Technology, Yuquan Campus, Hangzhou, China
- Yong Xu 0006 — University of Paris-Saclay, France
- Yong Xu 0007 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Yong Xu 0008 — Fudan University, Shanghai, China
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2020 – today
- 2022
[j161]Xiaozhao Fang, Na Han, Guoxu Zhou, Shohua Teng, Yong Xu, Shenli Xie:
Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. 52(4): 2618-2629 (2022)- [j160]Shuai Wu, Yong Xu, Bob Zhang, Jian Yang, David Zhang:
Deformable Template Network (DTN) for Object Detection. IEEE Trans. Multim. 24: 2058-2068 (2022) - 2021
- [j159]Hang Wei, Yong Xu, Bin Liu:
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning. Briefings Bioinform. 22(3) (2021) - [j158]Hang Wei, Yong Xu, Bin Liu:
iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank. Bioinform. 37(19): 3302-3310 (2021) - [j157]Ke Yan, Jie Wen, Yong Xu, Bin Liu:
MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling. Neurocomputing 421: 127-139 (2021) - [j156]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li:
Brain MRI super-resolution using coupled-projection residual network. Neurocomputing 456: 190-199 (2021) - [j155]Jinxing Li, Zhaoqun Li, Guangming Lu, Yong Xu, Bob Zhang, David Zhang:
Asymmetric Gaussian Process multi-view learning for visual classification. Inf. Fusion 65: 108-118 (2021) - [j154]Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang:
Designing and training of a dual CNN for image denoising. Knowl. Based Syst. 226: 106949 (2021) - [j153]Xiaoling Luo, Zuhui Pu, Yong Xu, Wai Keung Wong, Jingyong Su, Xiaoyan Dou, Baikang Ye, Jiying Hu, Lisha Mou:
MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms. Pattern Recognit. 120: 108104 (2021) - [j152]Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu:
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 2008-2016 (2021) - [j151]Ke Yan, Jie Wen, Yong Xu, Bin Liu:
Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2682-2691 (2021) - [j150]Jian Wu, Bob Zhang, Yong Xu, David Zhang:
Illuminance Compensation and Texture Enhancement via the Hodge Decomposition. IEEE Trans. Circuits Syst. Video Technol. 31(3): 956-971 (2021) - [j149]Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. 51(8): 3952-3963 (2021) - [j148]Chao Huang, Zongju Peng, Yong Xu, Fen Chen, Qiuping Jiang, Yun Zhang, Gangyi Jiang, Yo-Sung Ho:
Online Learning-Based Multi-Stage Complexity Control for Live Video Coding. IEEE Trans. Image Process. 30: 641-656 (2021) - [j147]Jinxing Li, Dandan Fan, Lingxiao Yang, Shuhang Gu, Guangming Lu, Yong Xu, David Zhang:
Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection. IEEE Trans. Image Process. 30: 3748-3763 (2021) - [j146]Chunwei Tian, Yong Xu, Wangmeng Zuo, Bob Zhang, Lunke Fei, Chia-Wen Lin:
Coarse-to-Fine CNN for Image Super-Resolution. IEEE Trans. Multim. 23: 1489-1502 (2021) - [j145]Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, Bob Zhang:
Adaptive Graph Completion Based Incomplete Multi-View Clustering. IEEE Trans. Multim. 23: 2493-2504 (2021) - [j144]Jinxing Li, Bob Zhang, Guangming Lu, Yong Xu, Feng Wu, David Zhang:
Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5093-5107 (2021) - [c49]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI 2021: 116-124 - [c48]Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu:
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. AAAI 2021: 10273-10281 - [c47]Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu:
Structural Deep Incomplete Multi-view Clustering Network. CIKM 2021: 3538-3542 - [c46]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. MICCAI (6) 2021: 140-149 - [c45]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) 2021: 307-317 - [c44]Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu:
Targeted Attack and Defense for Deep Hashing. SIGIR 2021: 2298-2302 - [i23]Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang:
Asymmetric CNN for image super-resolution. CoRR abs/2103.13634 (2021) - [i22]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR abs/2104.05345 (2021) - [i21]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR abs/2105.05980 (2021) - [i20]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. CoRR abs/2105.08949 (2021) - [i19]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR abs/2106.06742 (2021) - [i18]Huafeng Li, Kaixiong Xu, Jinxing Li, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang:
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification. CoRR abs/2106.13929 (2021) - [i17]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i16]Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR abs/2109.01664 (2021) - 2020
- [j143]Jian Wu, Bob Zhang, Yong Xu, David Zhang:
Tongue Image Alignment via Conformal Mapping for Disease Detection. IEEE Access 8: 9796-9808 (2020) - [j142]Wei Wang, Chengqin Ye, Shanzhuo Zhang, Yong Xu, Kuanquan Wang:
Improving Whole-Heart CT Image Segmentation by Attention Mechanism. IEEE Access 8: 14579-14587 (2020) - [j141]Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin:
Lightweight image super-resolution with enhanced CNN. Knowl. Based Syst. 205: 106235 (2020) - [j140]Chunwei Tian, Yong Xu, Wangmeng Zuo:
Image denoising using deep CNN with batch renormalization. Neural Networks 121: 461-473 (2020) - [j139]Chunwei Tian, Yong Xu, Zuoyong Li, Wangmeng Zuo, Lunke Fei, Hong Liu:
Attention-guided CNN for image denoising. Neural Networks 124: 117-129 (2020) - [j138]Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin:
Deep learning on image denoising: An overview. Neural Networks 131: 251-275 (2020) - [j137]Jianjun Qian, Jian Yang, Yong Xu, Jin Xie, Zhihui Lai, Bob Zhang:
Image decomposition based matrix regression with applications to robust face recognition. Pattern Recognit. 102: 107204 (2020) - [j136]Junqian Wang, Hanyu Zhang, Peiyi Han, Chuanyi Liu, Yong Xu:
Pixel re-representations for better classification of images. Pattern Recognit. Lett. 140: 310-317 (2020) - [j135]Na Han, Jigang Wu, Xiaozhao Fang, Wai Keung Wong, Yong Xu, Jian Yang, Xuelong Li:
Double Relaxed Regression for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 30(2): 307-319 (2020) - [j134]Lunke Fei, Bob Zhang, Yong Xu, Di Huang, Wei Jia, Jie Wen:
Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(2): 468-481 (2020) - [j133]Shuai Wu, Yong Xu:
DSN: A New Deformable Subnetwork for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2057-2066 (2020) - [j132]Jie Wen, Yong Xu, Hong Liu:
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning. IEEE Trans. Cybern. 50(4): 1418-1429 (2020) - [j131]Jinxing Li, Xiaobao Guo, Guangming Lu, Bob Zhang, Yong Xu, Feng Wu, David Zhang:
DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion. IEEE Trans. Image Process. 29: 4816-4831 (2020) - [j130]Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo:
Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. 22(9): 2420-2433 (2020) - [j129]Jinxing Li, Bob Zhang, Guangming Lu, Jane You, Yong Xu, Feng Wu, David Zhang:
Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4791-4805 (2020) - [c43]Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie:
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. IJCAI 2020: 3230-3236 - [c42]Jie Wen, Zheng Zhang, Zhao Zhang, Zhihao Wu, Lunke Fei, Yong Xu, Bob Zhang:
DIMC-net: Deep Incomplete Multi-view Clustering Network. ACM Multimedia 2020: 3753-3761 - [i15]Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang:
Designing and Training of A Dual CNN for Image Denoising. CoRR abs/2007.03951 (2020) - [i14]Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin:
Lightweight image super-resolution with enhanced CNN. CoRR abs/2007.04344 (2020)
2010 – 2019
- 2019
- [j128]Zhi Liu, Dongmei Jiang, Yujun Li, Yankun Cao, Mingyu Wang, Yong Xu:
Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning. IEEE Access 7: 2387-2395 (2019) - [j127]Lilei Sun, Junqian Wang, Zhijun Hu, Yong Xu, Zhongwei Cui:
Multi-View Convolutional Neural Networks for Mammographic Image Classification. IEEE Access 7: 126273-126282 (2019) - [j126]Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu:
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access 7: 151329-151338 (2019) - [j125]Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu:
Protein fold recognition based on multi-view modeling. Bioinform. 35(17): 2982-2990 (2019) - [j124]Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang:
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. 20-S(22): 716 (2019) - [j123]Chunwei Tian, Yong Xu, Lunke Fei, Junqian Wang, Jie Wen, Nan Luo:
Enhanced CNN for image denoising. CAAI Trans. Intell. Technol. 4(1): 17-23 (2019) - [j122]Zuoyong Li, Zhaochai Yu, Weixia Liu, Yong Xu, Daoqiang Zhang, Yong Cheng:
Tongue image segmentation via color decomposition and thresholding. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j121]Zuofeng Zhong, Jiajun Wen, Bob Zhang, Yong Xu:
A general moving detection method using dual-target nonparametric background model. Knowl. Based Syst. 164: 85-95 (2019) - [j120]Lunke Fei, Bob Zhang, Yong Xu, Wei Jia, Jie Wen, Jigang Wu:
Precision direction and compact surface type representation for 3D palmprint identification. Pattern Recognit. 87: 237-247 (2019) - [j119]Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang:
Nesting-structured nuclear norm minimization for spatially correlated matrix variate. Pattern Recognit. 91: 147-161 (2019) - [j118]Xiaoling Luo, Yong Xu, Jian Yang:
Multi-resolution dictionary learning for face recognition. Pattern Recognit. 93: 283-292 (2019) - [j117]Yong Xu, Zhengming Li, Chunwei Tian, Jian Yang:
Multiple vector representations of images and robust dictionary learning. Pattern Recognit. Lett. 128: 131-136 (2019) - [j116]Chuanyi Liu, Junqian Wang, Shaoming Duan, Yong Xu:
Combining dissimilarity measures for image classification. Pattern Recognit. Lett. 128: 536-543 (2019) - [j115]Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, Yong Xu:
Robust Sparse Linear Discriminant Analysis. IEEE Trans. Circuits Syst. Video Technol. 29(2): 390-403 (2019) - [j114]Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia:
Learning Discriminant Direction Binary Palmprint Descriptor. IEEE Trans. Image Process. 28(8): 3808-3820 (2019) - [j113]Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan:
A Local Mean Representation-based K-Nearest Neighbor Classifier. ACM Trans. Intell. Syst. Technol. 10(3): 29:1-29:25 (2019) - [j112]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2926-2937 (2019) - [c41]Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu:
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. AAAI 2019: 5393-5400 - [c40]Wei Liu, Lintai Wu, Yong Xu, Dan Wang:
Deep Residual Equivariant Mapping for Multi-angle Face Recognition. CCBR 2019: 145-154 - [i13]Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu:
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR abs/1901.06794 (2019) - [i12]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR abs/1905.11837 (2019) - [i11]Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang:
Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. CoRR abs/1906.11885 (2019) - [i10]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao:
Coupled-Projection Residual Network for MRI Super-Resolution. CoRR abs/1907.05598 (2019) - [i9]Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin:
Deep Learning on Image Denoising: An overview. CoRR abs/1912.13171 (2019) - 2018
- [j111]Qili Deng, Shuai Wu, Jie Wen, Yong Xu:
Multi-level image representation for large-scale image-based instance retrieval. CAAI Trans. Intell. Technol. 3(1): 33-39 (2018) - [j110]Jie Wen, Yong Xu, Zuoyong Li, Zhongli Ma, Yuanrong Xu:
Inter-class sparsity based discriminative least square regression. Neural Networks 102: 36-47 (2018) - [j109]Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei:
Low-rank representation with adaptive graph regularization. Neural Networks 108: 83-96 (2018) - [j108]Cairong Zhao, Xuekuan Wang, Duoqian Miao, Hanli Wang, Wei-Shi Zheng, Yong Xu, David Zhang:
Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification. Pattern Recognit. 79: 79-96 (2018) - [j107]Jie Wen, Bob Zhang, Yong Xu, Jian Yang, Na Han:
Adaptive weighted nonnegative low-rank representation. Pattern Recognit. 81: 326-340 (2018) - [j106]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu:
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 974-987 (2018) - [j105]Zhihui Lai, Dongmei Mo, Wai Keung Wong, Yong Xu, Duoqian Miao, David Zhang:
Robust Discriminant Regression for Feature Extraction. IEEE Trans. Cybern. 48(8): 2472-2484 (2018) - [j104]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong, Bingwu Fang:
Regularized Label Relaxation Linear Regression. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1006-1018 (2018) - [j103]Zheng Zhang, Yong Xu, Ling Shao, Jian Yang:
Discriminative Block-Diagonal Representation Learning for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3111-3125 (2018) - [j102]Zheng Zhang, Ling Shao, Yong Xu, Li Liu, Jian Yang:
Marginal Representation Learning With Graph Structure Self-Adaptation. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4645-4659 (2018) - [j101]Xiaozhao Fang, Na Han, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Xuelong Li:
Approximate Low-Rank Projection Learning for Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5228-5241 (2018) - [j100]Yong Xu, Lunke Fei, Jie Wen, David Zhang:
Discriminative and Robust Competitive Code for Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. 48(2): 232-241 (2018) - [c39]Peipei Kang, Xiaozhao Fang, Wei Zhang, Shaohua Teng, Lunke Fei, Yong Xu, Yubao Zheng:
Supervised Group Sparse Representation via Intra-class Low-Rank Constraint. CCBR 2018: 206-213 - [c38]Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong:
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. ECCV Workshops (4) 2018: 593-608 - [c37]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) 2018: 731-748 - [c36]Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan:
Deep Learning for Image Denoising: A Survey. ICGEC 2018: 563-572 - [i8]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR abs/1809.05992 (2018) - [i7]Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong:
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. CoRR abs/1809.05998 (2018) - [i6]Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan:
Deep Learning for Image Denoising: A Survey. CoRR abs/1810.05052 (2018) - [i5]Chunwei Tian, Yong Xu, Junqian Wang, Nan Luo, Haizhang Zou:
Enhanced CNN for image denoising. CoRR abs/1810.11834 (2018) - 2017
- [j99]Yong Xu, Zhengming Li, Jian Yang, David Zhang:
A Survey of Dictionary Learning Algorithms for Face Recognition. IEEE Access 5: 8502-8514 (2017) - [j98]Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu:
Protein fold recognition based on sparse representation based classification. Artif. Intell. Medicine 79: 1-8 (2017) - [j97]Kai Guo, Shuai Wu, Yong Xu:
Face recognition using both visible light image and near-infrared image and a deep network. CAAI Trans. Intell. Technol. 2(1): 39-47 (2017) - [j96]Zuofeng Zhong, Yong Xu, Zuoyong Li, Yinnan Zhao:
Background modelling using discriminative motion representation. IET Comput. Vis. 11(6): 463-470 (2017) - [j95]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu:
A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. Neurocomputing 228: 263-269 (2017) - [j94]Yong Xu, Zhengming Li, Bob Zhang, Jian Yang, Jane You:
Sample diversity, representation effectiveness and robust dictionary learning for face recognition. Inf. Sci. 375: 171-182 (2017) - [j93]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Shaohua Teng, Lunke Fei:
Orthogonal self-guided similarity preserving projection for classification and clustering. Neural Networks 88: 1-8 (2017) - [j92]Jian Yang, Lei Luo, Jianjun Qian, Ying Tai, Fanlong Zhang, Yong Xu:
Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 156-171 (2017) - [j91]Lunke Fei, Yong Xu, Xiaozhao Fang, Jian Yang:
Low rank representation with adaptive distance penalty for semi-supervised subspace classification. Pattern Recognit. 67: 252-262 (2017) - [j90]Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan:
Nonnegative Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 27(7): 1392-1405 (2017) - [j89]Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang:
Rotational Invariant Dimensionality Reduction Algorithms. IEEE Trans. Cybern. 47(11): 3733-3746 (2017) - [j88]Ke Yan, David Zhang, Yong Xu:
Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning. IEEE Trans. Instrum. Meas. 66(9): 2306-2316 (2017) - [j87]Zheng Zhang, Zhihui Lai, Yong Xu, Ling Shao, Jian Wu, Guo-Sen Xie:
Discriminative Elastic-Net Regularized Linear Regression. IEEE Trans. Image Process. 26(3): 1466-1481 (2017) - [j86]Zuofeng Zhong, Bob Zhang, Guangming Lu, Yong Zhao, Yong Xu:
An Adaptive Background Modeling Method for Foreground Segmentation. IEEE Trans. Intell. Transp. Syst. 18(5): 1109-1121 (2017) - [j85]Zhengming Li, Zhihui Lai, Yong Xu, Jian Yang, David Zhang:
A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 28(2): 278-293 (2017) - [j84]