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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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Books and Theses
- 2016
[b2]David Zhang, Yong Xu, Wangmeng Zuo:
Discriminative Learning in Biometrics. Springer 2016, ISBN 978-981-10-2055-1, pp. 1-266- [b1]David Zhang, Fangmei Chen, Yong Xu:
Computer Models for Facial Beauty Analysis. Springer 2016, ISBN 978-3-319-32596-5, pp. 3-263
Journal Articles
- 2024
- [j207]Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang:
A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence. CAAI Trans. Intell. Technol. 9(1): 153-166 (2024) - [j206]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, Yuan Xie, Yahan Sun, David Zhang:
ISFB-GAN: Interpretable semantic face beautification with generative adversarial network. Expert Syst. Appl. 236: 121131 (2024) - [j205]Jinxing Li, Chuhao Zhou, Xiaoqiang Ji, Mu Li, Guangming Lu, Yong Xu, David Zhang:
Multi-view Instance Attention Fusion Network for classification. Inf. Fusion 101: 101974 (2024) - [j204]Hao Liang, Lunke Fei, Shuping Zhao, Jie Wen, Shaohua Teng, Yong Xu:
Mask-guided multiscale feature aggregation network for hand gesture recognition. Pattern Recognit. 145: 109901 (2024) - [j203]Lian Wu, Chao Huang, Lunke Fei, Shuping Zhao, Jianchuan Zhao, Zhongwei Cui, Yong Xu:
Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2179-2194 (2024) - [j202]Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu:
Multi-Contrast Complementary Learning for Accelerated MR Imaging. IEEE J. Biomed. Health Informatics 28(3): 1436-1447 (2024) - [j201]Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
Enhanced Spatial Feature Learning for Weakly Supervised Object Detection. IEEE Trans. Neural Networks Learn. Syst. 35(1): 961-972 (2024) - [j200]Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu:
Discriminative Regression With Adaptive Graph Diffusion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1797-1809 (2024) - 2023
- [j199]Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Xian Jing Cheng, Lilei Sun, Lian Wu:
Vehicle re-identification based on keypoint segmentation of original image. Appl. Intell. 53(3): 2576-2592 (2023) - [j198]Shuping Zhao, Zhongwei Cui, Lian Wu, Yong Xu, Yu Zuo, Lunke Fei:
Salient and consensus representation learning based incomplete multiview clustering. Appl. Intell. 53(3): 2723-2737 (2023) - [j197]Lilei Sun, Jie Wen, Junqian Wang, Yong Zhao, Bob Zhang, Jian Wu, Yong Xu:
Two-view attention-guided convolutional neural network for mammographic image classification. CAAI Trans. Intell. Technol. 8(2): 453-467 (2023) - [j196]Xiaoling Luo, Honggang Zhang, Jingyong Su, Wai Keung Wong, Jinkai Li, Yong Xu:
RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy. Comput. Biol. Medicine 152: 106406 (2023) - [j195]Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu:
Class-guided human motion prediction via multi-spatial-temporal supervision. Neural Comput. Appl. 35(13): 9463-9479 (2023) - [j194]Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, Jianchuan Zhao, Zhongwei Cui, Zhen Yu, Yong Xu, Min Zhang:
Robust fall detection in video surveillance based on weakly supervised learning. Neural Networks 163: 286-297 (2023) - [j193]Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu:
Single image denoising with a feature-enhanced network. Neural Networks 168: 313-325 (2023) - [j192]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang:
Learning efficient facial landmark model for human attractiveness analysis. Pattern Recognit. 138: 109370 (2023) - [j191]Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang:
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. 15(2): 675-689 (2023) - [j190]Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu:
PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1337-1344 (2023) - [j189]Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen:
TRCDNet: A Transformer Network for Video Cloud Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j188]Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li:
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. IEEE Trans. Image Process. 32: 682-693 (2023) - [j187]Jinxing Li, Beicheng Liang, Xiangwei Lu, Mu Li, Guangming Lu, Yong Xu:
From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection. IEEE Trans. Image Process. 32: 1158-1169 (2023) - [j186]Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang:
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32: 5126-5137 (2023) - [j185]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j184]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [j183]Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, David Zhang:
Multiple Instance Detection Networks With Adaptive Instance Refinement. IEEE Trans. Multim. 25: 267-279 (2023) - [j182]Lintai Wu, Yong Xu, Junhui Hou, C. L. Philip Chen, Cheng-Lin Liu:
A Two-Level Rectification Attention Network for Scene Text Recognition. IEEE Trans. Multim. 25: 2404-2414 (2023) - [j181]Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang:
Localized Sparse Incomplete Multi-View Clustering. IEEE Trans. Multim. 25: 5539-5551 (2023) - [j180]Chao Huang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, David Zhang:
Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9389-9403 (2023) - [j179]Lunke Fei, Shuping Zhao, Wei Jia, Bob Zhang, Jie Wen, Yong Xu:
Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9783-9794 (2023) - [j178]Shaoning Zeng, Yunbo Rao, Bob Zhang, Yong Xu:
Joint Augmented and Compressed Dictionaries for Robust Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 136:1-136:24 (2023) - [j177]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multiview Clustering. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1136-1149 (2023) - [j176]Lunke Fei, Wai Keung Wong, Shuping Zhao, Jie Wen, Jian Zhu, Yong Xu:
Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3868-3879 (2023) - 2022
- [j175]Xiaohuan Lu, Jiang Long, Jie Wen, Lunke Fei, Bob Zhang, Yong Xu:
Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction. Pattern Recognit. 131: 108844 (2022) - [j174]Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu:
Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. IEEE Signal Process. Lett. 29: 1197-1201 (2022) - [j173]Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Guanghai Liu, Jie Wen, Lilei Sun, Lian Wu, Xian Jing Cheng:
Dual Distance Center Loss: The Improved Center Loss That Can Run Without the Combination of Softmax Loss, an Application for Vehicle Re-Identification and Person Re-Identification. IEEE Trans. Comput. Soc. Syst. 9(5): 1345-1358 (2022) - [j172]Xiaozhao Fang, Na Han, Guoxu Zhou, Shaohua Teng, Yong Xu, Shenli Xie:
Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. 52(4): 2618-2629 (2022) - [j171]Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu:
Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification. IEEE Trans. Cybern. 52(6): 4935-4948 (2022) - [j170]Chao Huang, Zehua Yang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang:
Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection. IEEE Trans. Cybern. 52(12): 13834-13847 (2022) - [j169]Chao Huang, Zhihao Wu, Jie Wen, Yong Xu, Qiuping Jiang, Yaowei Wang:
Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System. IEEE Trans. Ind. Informatics 18(8): 5171-5179 (2022) - [j168]Jianyang Qin, Lunke Fei, Zheng Zhang, Jie Wen, Yong Xu, David Zhang:
Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval. IEEE Trans. Image Process. 31: 5343-5358 (2022) - [j167]Shuai Wu, Yong Xu, Bob Zhang, Jian Yang, David Zhang:
Deformable Template Network (DTN) for Object Detection. IEEE Trans. Multim. 24: 2058-2068 (2022) - [j166]Lunke Fei, Bob Zhang, Yong Xu, Chunwei Tian, Imad Rida, David Zhang:
Jointly Heterogeneous Palmprint Discriminant Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4979-4990 (2022) - [j165]Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang:
Asymmetric CNN for Image Superresolution. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3718-3730 (2022) - [j164]Xiaozhao Fang, Lin Jiang, Na Han, Weijun Sun, Yong Xu, Shengli Xie:
Cross-Domain Recognition via Projective Cross-Reconstruction. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7366-7377 (2022) - 2021
- [j163]Hang Wei, Yong Xu, Bin Liu:
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning. Briefings Bioinform. 22(3) (2021) - [j162]Hang Wei, Yong Xu, Bin Liu:
iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank. Bioinform. 37(19): 3302-3310 (2021) - [j161]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) - [j160]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) - [j159]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) - [j158]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) - [j157]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) - [j156]Lian Wu, Yong Xu, Zhongwei Cui, Yu Zuo, Shuping Zhao, Lunke Fei:
Triple-Type Feature Extraction for Palmprint Recognition. Sensors 21(14): 4896 (2021) - [j155]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) - [j154]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) - [j153]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) - [j152]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) - [j151]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) - [j150]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) - [j149]Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu, Wei Huang:
Fast and Robust Dictionary-based Classification for Image Data. ACM Trans. Knowl. Discov. Data 15(6): 97:1-97:22 (2021) - [j148]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) - [j147]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) - [j146]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) - 2020
- [j145]Jian Wu, Bob Zhang, Yong Xu, David Zhang:
Tongue Image Alignment via Conformal Mapping for Disease Detection. IEEE Access 8: 9796-9808 (2020) - [j144]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) - [j143]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) - [j142]Chunwei Tian, Yong Xu, Wangmeng Zuo:
Image denoising using deep CNN with batch renormalization. Neural Networks 121: 461-473 (2020) - [j141]Chunwei Tian, Yong Xu, Zuoyong Li, Wangmeng Zuo, Lunke Fei, Hong Liu:
Attention-guided CNN for image denoising. Neural Networks 124: 117-129 (2020) - [j140]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) - [j139]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) - [j138]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) - [j137]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) - [j136]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) - [j135]Shuai Wu, Yong Xu:
DSN: A New Deformable Subnetwork for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2057-2066 (2020) - [j134]Jie Wen, Yong Xu, Hong Liu:
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning. IEEE Trans. Cybern. 50(4): 1418-1429 (2020) - [j133]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) - [j132]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) - [j131]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) - 2019
- [j130]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) - [j129]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) - [j128]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) - [j127]Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu:
Protein fold recognition based on multi-view modeling. Bioinform. 35(17): 2982-2990 (2019) - [j126]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) - [j125]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) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [j120]Xiaoling Luo, Yong Xu, Jian Yang:
Multi-resolution dictionary learning for face recognition. Pattern Recognit. 93: 283-292 (2019) - [j119]Yong Xu, Zhengming Li, Chunwei Tian, Jian Yang:
Multiple vector representations of images and robust dictionary learning. Pattern Recognit. Lett. 128: 131-136 (2019) - [j118]Chuanyi Liu, Junqian Wang, Shaoming Duan, Yong Xu:
Combining dissimilarity measures for image classification. Pattern Recognit. Lett. 128: 536-543 (2019) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - 2018
- [j113]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) - [j112]Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan:
Two-phase linear reconstruction measure-based classification for face recognition. Inf. Sci. 433-434: 17-36 (2018) - [j111]Jie Wen, Yong Xu, Zuoyong Li, Zhongli Ma, Yuanrong Xu:
Inter-class sparsity based discriminative least square regression. Neural Networks 102: 36-47 (2018) - [j110]Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei:
Low-rank representation with adaptive graph regularization. Neural Networks 108: 83-96 (2018) - [j109]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) - [j108]Jie Wen, Bob Zhang, Yong Xu, Jian Yang, Na Han:
Adaptive weighted nonnegative low-rank representation. Pattern Recognit. 81: 326-340 (2018) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - 2017
- [j100]Yong Xu, Zhengming Li, Jian Yang, David Zhang:
A Survey of Dictionary Learning Algorithms for Face Recognition. IEEE Access 5: 8502-8514 (2017) - [j99]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) - [j98]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) - [j97]Zuofeng Zhong, Yong Xu, Zuoyong Li, Yinnan Zhao:
Background modelling using discriminative motion representation. IET Comput. Vis. 11(6): 463-470 (2017) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang:
Rotational Invariant Dimensionality Reduction Algorithms. IEEE Trans. Cybern. 47(11): 3733-3746 (2017) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]Yong Xu, Zuofeng Zhong, Jian Yang, Jane You, David Zhang:
A New Discriminative Sparse Representation Method for Robust Face Recognition via l2 Regularization. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2233-2242 (2017) - 2016
- [j84]Yong Xu, Jie Wen, Lunke Fei, Zheng Zhang:
Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement. IEEE Access 4: 165-188 (2016) - [j83]Yong Xu, Jixiang Dong, Bob Zhang, Daoyun Xu:
Background modeling methods in video analysis: A review and comparative evaluation. CAAI Trans. Intell. Technol. 1(1): 43-60 (2016) - [j82]Yong Xu, Yuwu Lu:
Corrigendum to "Adaptive Weighted Fusion: A novel fusion approach for image classification" Neurocomputing, volume 168 (2015), 566-574. Neurocomputing 171: 1692 (2016) - [j81]Lunke Fei, Yong Xu, Bob Zhang, Xiaozhao Fang, Jie Wen:
Low-rank representation integrated with principal line distance for contactless palmprint recognition. Neurocomputing 218: 264-275 (2016) - [j80]Yuwu Lu, Zhihui Lai, Yong Xu, Jane You, Xuelong Li, Chun Yuan:
Projective robust nonnegative factorization. Inf. Sci. 364-365: 16-32 (2016) - [j79]Lunke Fei, Yong Xu, Wenliang Tang, David Zhang:
Double-orientation code and nonlinear matching scheme for palmprint recognition. Pattern Recognit. 49: 89-101 (2016) - [j78]Zhaoze Zhou, Wei-Shi Zheng, Jianfang Hu, Yong Xu, Jane You:
One-pass online learning: A local approach. Pattern Recognit. 51: 346-357 (2016) - [j77]Zuoyong Li, Guanghai Liu, David Zhang, Yong Xu:
Robust single-object image segmentation based on salient transition region. Pattern Recognit. 52: 317-331 (2016) - [j76]Yong Xu, Zheng Zhang, Guangming Lu, Jian Yang:
Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification. Pattern Recognit. 54: 68-82 (2016) - [j75]Zizhu Fan, Yong Xu, Ming Ni, Xiaozhao Fang, David Zhang:
Individualized learning for improving kernel Fisher discriminant analysis. Pattern Recognit. 58: 100-109 (2016) - [j74]Lunke Fei, Yong Xu, David Zhang:
Half-orientation extraction of palmprint features. Pattern Recognit. Lett. 69: 35-41 (2016) - [j73]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu:
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 392-398 (2016) - [j72]Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu:
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1059-1067 (2016) - [j71]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong:
Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation. IEEE Trans. Cybern. 46(8): 1828-1838 (2016) - [j70]Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan:
Low-Rank Preserving Projections. IEEE Trans. Cybern. 46(8): 1900-1913 (2016) - [j69]Lunke Fei, Bob Zhang, Yong Xu, Liping Yan:
Palmprint Recognition Using Neighboring Direction Indicator. IEEE Trans. Hum. Mach. Syst. 46(6): 787-798 (2016) - [j68]Yong Xu, Xiaozhao Fang, Jian Wu, Xuelong Li, David Zhang:
Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation. IEEE Trans. Image Process. 25(2): 850-863 (2016) - [j67]Zhihui Lai, Wai Keung Wong, Yong Xu, Jian Yang, David Zhang:
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 27(4): 723-735 (2016) - 2015
- [j66]Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
A Survey of Sparse Representation: Algorithms and Applications. IEEE Access 3: 490-530 (2015) - [j65]Fangmei Chen, Yong Xu, David Zhang, Kai Chen:
2D facial landmark model design by combining key points and inserted points. Expert Syst. Appl. 42(21): 7858-7868 (2015) - [j64]Yong Xu, Xiaozhao Fang, Jane You, Yan Chen, Hong Liu:
Noise-free representation based classification and face recognition experiments. Neurocomputing 147: 307-314 (2015) - [j63]Zuoyong Li, Yong Cheng, Kezong Tang, Yong Xu, David Zhang:
A salt & pepper noise filter based on local and global image information. Neurocomputing 159: 172-185 (2015) - [j62]Yong Xu, Yuwu Lu:
Adaptive weighted fusion: A novel fusion approach for image classification. Neurocomputing 168: 566-574 (2015) - [j61]Yong Xu, Bob Zhang, Zuofeng Zhong:
Multiple representations and sparse representation for image classification. Pattern Recognit. Lett. 68: 9-14 (2015) - [j60]Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai:
RPCA-Based Tumor Classification Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 964-970 (2015) - [j59]Wai Keung Wong, Zhihui Lai, Yong Xu, Jiajun Wen, Chu Po Ho:
Joint Tensor Feature Analysis For Visual Object Recognition. IEEE Trans. Cybern. 45(11): 2425-2436 (2015) - [j58]Yong Xu, Lunke Fei, David Zhang:
Combining Left and Right Palmprint Images for More Accurate Personal Identification. IEEE Trans. Image Process. 24(2): 549-559 (2015) - [j57]Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong:
Learning a Nonnegative Sparse Graph for Linear Regression. IEEE Trans. Image Process. 24(9): 2760-2771 (2015) - [j56]Fanlong Zhang, Jian Yang, Jianjun Qian, Yong Xu:
Nuclear Norm-Based 2-DPCA for Extracting Features From Images. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2247-2260 (2015) - 2014
- [j55]Xiaozhao Fang, Yong Xu, Xuelong Li, Zizhu Fan, Hong Liu, Yan Chen:
Locality and similarity preserving embedding for feature selection. Neurocomputing 128: 304-315 (2014) - [j54]Yong Xu, Xuelong Li, Jian Yang, David Zhang:
Integrate the original face image and its mirror image for face recognition. Neurocomputing 131: 191-199 (2014) - [j53]Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, Hong Liu:
Modified minimum squared error algorithm for robust classification and face recognition experiments. Neurocomputing 135: 253-261 (2014) - [j52]Jian-Xun Mi, Yong Xu:
A comparative study and improvement of two ICA using reference signal methods. Neurocomputing 137: 157-164 (2014) - [j51]Zuoyong Li, Guanghai Liu, Yong Xu, Yong Cheng:
Modified directional weighted filter for removal of salt & pepper noise. Pattern Recognit. Lett. 40: 113-120 (2014) - [j50]Fangmei Chen, Yong Xu, David Zhang:
A New Hypothesis on Facial Beauty Perception. ACM Trans. Appl. Percept. 11(2): 8:1-8:20 (2014) - [j49]Zhihui Lai, Yong Xu, Zhong Jin, David Zhang:
Human Gait Recognition via Sparse Discriminant Projection Learning. IEEE Trans. Circuits Syst. Video Technol. 24(10): 1651-1662 (2014) - [j48]Jiajun Wen, Yong Xu, Jinhui Tang, Yinwei Zhan, Zhihui Lai, Xiao-Tang Guo:
Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction. IEEE Trans. Circuits Syst. Video Technol. 24(12): 2034-2048 (2014) - [j47]Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai, David Zhang:
Integrating Conventional and Inverse Representation for Face Recognition. IEEE Trans. Cybern. 44(10): 1738-1746 (2014) - [j46]Yong Xu, Xiaozhao Fang, Xuelong Li, Jiang Yang, Jane You, Hong Liu, Shaohua Teng:
Data Uncertainty in Face Recognition. IEEE Trans. Cybern. 44(10): 1950-1961 (2014) - [j45]Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, Jinhui Tang, Zhihui Lai, David Zhang:
Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. IEEE Trans. Neural Networks Learn. Syst. 25(8): 1538-1552 (2014) - [j44]Zhihui Lai, Wai Keung Wong, Yong Xu, Cairong Zhao, Mingming Sun:
Sparse Alignment for Robust Tensor Learning. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1779-1792 (2014) - [j43]Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, David Zhang:
Multilinear Sparse Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1942-1950 (2014) - 2013
- [j42]Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu:
Robust PCA based method for discovering differentially expressed genes. BMC Bioinform. 14(S-8): S3 (2013) - [j41]Yong Xu, Zizhu Fan, Minna Qiu, David Zhang, Jing-Yu Yang:
A sparse representation method of bimodal biometrics and palmprint recognition experiments. Neurocomputing 103: 164-171 (2013) - [j40]Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan:
From the idea of "sparse representation" to a representation-based transformation method for feature extraction. Neurocomputing 113: 168-176 (2013) - [j39]Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai:
Using the idea of the sparse representation to perform coarse-to-fine face recognition. Inf. Sci. 238: 138-148 (2013) - [j38]Yong Xu, Qi Zhu:
A simple and fast representation-based face recognition method. Neural Comput. Appl. 22(7-8): 1543-1549 (2013) - [j37]Qi Zhu, Yong Xu:
Multi-directional two-dimensional PCA with matching score level fusion for face recognition. Neural Comput. Appl. 23(1): 169-174 (2013) - [j36]Yong Xu, Zhengming Li, Jeng-Shyang Pan, Jing-Yu Yang:
Face recognition based on fusion of multi-resolution Gabor features. Neural Comput. Appl. 23(5): 1251-1256 (2013) - [j35]Yong Xu, Xingjie Zhu, Zhengming Li, Guang-Hai Liu, Yuwu Lu, Hong Liu:
Using the original and 'symmetrical face' training samples to perform representation based two-step face recognition. Pattern Recognit. 46(4): 1151-1158 (2013) - [j34]Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu:
Coarse to fine K nearest neighbor classifier. Pattern Recognit. Lett. 34(9): 980-986 (2013) - [j33]Jianjun Qian, Jian Yang, Yong Xu:
Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition. IEEE Trans. Image Process. 22(9): 3591-3603 (2013) - [j32]Zhihui Lai, Yong Xu, Jian Yang, Jinhui Tang, David Zhang:
Sparse Tensor Discriminant Analysis. IEEE Trans. Image Process. 22(10): 3904-3915 (2013) - [j31]Jian Yang, Delin Chu, Lei Zhang, Yong Xu, Jingyu Yang:
Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1023-1035 (2013) - 2012
- [j30]Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. Comput. Biol. Medicine 42(5): 582-589 (2012) - [j29]Yong Xu, Wangmeng Zuo, Zizhu Fan:
Supervised sparse representation method with a heuristic strategy and face recognition experiments. Neurocomputing 79: 125-131 (2012) - [j28]Fengxi Song, Jane You, David Zhang, Yong Xu:
Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 26(3) (2012) - [j27]Yong Xu, Binglei Xie, Jingyu Yang:
Theoretical analysis of locality preserving projection and a fast orthogonal locality preserving projection algorithm. J. Electronic Imaging 21(3): 033024 (2012) - [j26]Yong Xu, Qi Zhu, Jinghua Wang:
Breast cancer diagnosis based on a kernel orthogonal transform. Neural Comput. Appl. 21(8): 1865-1870 (2012) - [j25]Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang:
Beyond sparsity: The role of L1-optimizer in pattern classification. Pattern Recognit. 45(3): 1104-1118 (2012) - [j24]Jinghua Wang, Jane You, Qin Li, Yong Xu:
Extract minimum positive and maximum negative features for imbalanced binary classification. Pattern Recognit. 45(3): 1136-1145 (2012) - [j23]Jinghua Wang, Jane You, Qin Li, Yong Xu:
Orthogonal discriminant vector for face recognition across pose. Pattern Recognit. 45(12): 4069-4079 (2012) - [j22]Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, Yong Xu:
Sparse Approximation to the Eigensubspace for Discrimination. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1948-1960 (2012) - 2011
- [j21]Zuoyong Li, David Zhang, Yong Xu, Chuancai Liu:
Modified local entropy-based transition region extraction and thresholding. Appl. Soft Comput. 11(8): 5630-5638 (2011) - [j20]Yong Xu, Qi Zhu, David Zhang:
Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments. Neurocomputing 74(18): 3946-3952 (2011) - [j19]Yong Xu, David Zhang:
Accelerating the kernel-method-based feature extraction procedure from the viewpoint of numerical approximation. Neural Comput. Appl. 20(7): 1087-1096 (2011) - [j18]Guang-Hai Liu, Zuoyong Li, Lei Zhang, Yong Xu:
Image retrieval based on micro-structure descriptor. Pattern Recognit. 44(9): 2123-2133 (2011) - [j17]Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang:
A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 21(9): 1255-1262 (2011) - [j16]Zizhu Fan, Yong Xu, David Dapeng Zhang:
Local Linear Discriminant Analysis Framework Using Sample Neighbors. IEEE Trans. Neural Networks 22(7): 1119-1132 (2011) - 2010
- [j15]Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao:
A novel local preserving projection scheme for use with face recognition. Expert Syst. Appl. 37(9): 6718-6721 (2010) - [j14]Jinghua Wang, Yong Xu, David Zhang, Jane You:
An efficient method for computing orthogonal discriminant vectors. Neurocomputing 73(10-12): 2168-2176 (2010) - [j13]Yong Xu, David Zhang, Jing-Yu Yang:
A feature extraction method for use with bimodal biometrics. Pattern Recognit. 43(3): 1106-1115 (2010) - [j12]Yong Xu, Aini Zhong, Jian Yang, David Zhang:
LPP solution schemes for use with face recognition. Pattern Recognit. 43(12): 4165-4176 (2010) - 2009
- [j11]Yong Xu, Lu Yao, David Zhang, Jing-Yu Yang:
Improving the interest operator for face recognition. Expert Syst. Appl. 36(6): 9719-9728 (2009) - [j10]Yong Xu, Ge Feng, Yingnan Zhao:
One improvement to two-dimensional locality preserving projection method for use with face recognition. Neurocomputing 73(1-3): 245-249 (2009) - 2008
- [j9]Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang:
An approach for directly extracting features from matrix data and its application in face recognition. Neurocomputing 71(10-12): 1857-1865 (2008) - 2007
- [j8]Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Zhong Jing, Miao Li:
A method for speeding up feature extraction based on KPCA. Neurocomputing 70(4-6): 1056-1061 (2007) - [j7]Fengxi Song, David Zhang, Yong Xu, Jizhong Wang:
Five New Feature Selection Metrics in Text Categorization. Int. J. Pattern Recognit. Artif. Intell. 21(6): 1085-1101 (2007) - 2006
- [j6]Yong Xu, David Zhang, Zhong Jin, Miao Li, Jing-Yu Yang:
A fast kernel-based nonlinear discriminant analysis for multi-class problems. Pattern Recognit. 39(6): 1026-1033 (2006) - 2005
- [j5]Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang:
Two-dimensional discriminant transform for face recognition. Pattern Recognit. 38(7): 1125-1129 (2005) - 2004
- [j4]Yong Xu, Jing-Yu Yang, Zhong Jin:
A novel method for Fisher discriminant analysis. Pattern Recognit. 37(2): 381-384 (2004) - [j3]Yong Xu, Jing-Yu Yang, Jian Yang:
A reformative kernel Fisher discriminant analysis. Pattern Recognit. 37(6): 1299-1302 (2004) - [j2]Yong Xu, Jing-Yu Yang, Jianfeng Lu, Dongjun Yu:
An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments. Pattern Recognit. 37(10): 2091-2094 (2004) - 2003
- [j1]Yong Xu, Jing-Yu Yang, Zhong Jin:
Theory analysis on FSLDA and ULDA. Pattern Recognit. 36(12): 3031-3033 (2003)
Conference and Workshop Papers
- 2024
- [c62]QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu:
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. AAAI 2024: 6342-6350 - [c61]Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu:
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. AAAI 2024: 13864-13872 - 2023
- [c60]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. AAAI 2023: 8807-8815 - [c59]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. AAAI 2023: 8816-8824 - [c58]Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu:
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. AAAI 2023: 8993-9001 - [c57]Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu:
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. CVPR 2023: 15712-15721 - [c56]Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu:
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection. CVPR 2023: 23776-23786 - [c55]Chuhao Zhou, Jinxing Li, Huafeng Li, Guangming Lu, Yong Xu, Min Zhang:
Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction. ACM Multimedia 2023: 46-55 - [c54]Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu:
Localized and Balanced Efficient Incomplete Multi-view Clustering. ACM Multimedia 2023: 2927-2935 - [c53]Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu:
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS 2023 - 2022
- [c52]Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu:
Deep Object Detection with Example Attribute Based Prediction Modulation. ICASSP 2022: 2020-2024 - [c51]Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang:
Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. ACM Multimedia 2022: 307-315 - [c50]Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu:
Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. ACM Multimedia 2022: 521-530 - 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 - 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 - 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 - 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 - 2017
- [c35]Yifan Gu, Zuofeng Zhong, Shuai Wu, Yong Xu:
Enlarging Effective Receptive Field of Convolutional Neural Networks for Better Semantic Segmentation. ACPR 2017: 388-393 - [c34]Lunke Fei, Shaohua Teng, Jigang Wu, Yong Xu, Jie Wen, Chunwei Tian:
Combining Enhanced Competitive Code with Compacted ST for 3D Palmprint Recognition. ACPR 2017: 512-517 - [c33]Lunke Fei, Yong Xu, Shaohua Teng, Wei Zhang, Wenliang Tang, Xiaozhao Fang:
Local Orientation Binary Pattern with Use for Palmprint Recognition. CCBR 2017: 213-220 - [c32]Mengdie Chu, Shuai Wu, Yifan Gu, Yong Xu:
Rich Features and Precise Localization with Region Proposal Network for Object Detection. CCBR 2017: 605-614 - [c31]Zuofeng Zhong, Zheng Zhang, Yong Xu:
Projective Representation Learning for Discriminative Face Recognition. CCCV (2) 2017: 3-15 - [c30]Hansheng Fang, Jie Wen, Yong Xu:
Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Features. CCCV (2) 2017: 51-61 - [c29]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR 2017: 945-954 - [c28]Jixiang Dong, Chunwei Tian, Yong Xu:
Face liveness detection using color gradient features. SPAC 2017: 377-382 - 2016
- [c27]Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu:
An Adaptive Weighted Degree Kernel to Predict the Splice Site. CCBR 2016: 739-746 - [c26]Lezhen Wei, Shuai Wu, Jian Zhang, Yong Xu:
Random Walk Based Global Feature for Disease Gene Identification. CCPR (2) 2016: 464-473 - [c25]Zheng Zhang, Yong Xu, Cheng-Lin Liu:
Natural Scene Character Recognition Using Robust PCA and Sparse Representation. DAS 2016: 340-345 - [c24]Rui Yan, Jie Wen, Jian Cao, Yong Xu, Jian Yang:
An Optimized Naive Bayesian Method for Face Recognition. ICCSIP 2016: 126-135 - 2015
- [c23]Chengyan Lin, Yuwu Lu, Jian Wu, Yong Xu:
Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection. CCBR 2015: 11-18 - [c22]Ke Yan, Jin-Xing Liu, Yong Xu:
An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. ICIC (1) 2015: 357-365 - [c21]Xiao-Dan Wang, Jin-Xing Liu, Yong Xu, Jian Zhang:
A Survey of Multiple Sequence Alignment Techniques. ICIC (1) 2015: 529-538 - [c20]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang:
Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) 2015: 679-685 - [c19]Xiaozhao Fang, Yong Xu, Zheng Zhang, Zhihui Lai, Linlin Shen:
Orthogonal self-guided similarity preserving projections. ICIP 2015: 344-348 - 2014
- [c18]Ke Yan, Yong Xu, Jian Zhang:
Automatic Two Phase Sparse Representation Method and Face Recognition Experiments. CCBR 2014: 22-30 - [c17]Jing Li, Bin Li, Yong Xu, Kaixuan Lu, Ke Yan, Lunke Fei:
Disguised face detection and recognition under the complex background. CIBIM 2014: 87-93 - [c16]Bin Li, Jian Zhang, Zheng Zhang, Yong Xu:
A people counting method based on head detection and tracking. SMARTCOMP 2014: 136-141 - 2013
- [c15]Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zizhu Fan, Zhengming Li:
Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features. ICGEC 2013: 349-357 - [c14]Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan:
Design and Implementation of a Bimodal Face Recognition System. IScIDE 2013: 457-464 - 2012
- [c13]Xiaozhao Fang, Yong Xu:
Combine the clustering algorithm and representation-based algorithm for concurrent classification of test samples. CISDA 2012: 1-5 - [c12]Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu:
Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) 2012: 174-179 - [c11]Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan:
Kernel based sparse representation for face recognition. ICPR 2012: 1703-1706 - [c10]Jinghua Wang, Yong Xu, Jane You:
Sparse residue for occluded face image reconstruction and classification. ICPR 2012: 1707-1710 - 2011
- [c9]Cheng-li Sun, Yong Xu, Jie Jia, Yu He:
Detection of Protein Spots from Complex Region on Real Gel Image. ICIC (3) 2011: 632-640 - 2010
- [c8]Yunlian Sun, Bo Shen, Yinghui Chen, Yong Xu:
Computerized Wrist Pulse Signal Diagnosis Using KPCA. ICMB 2010: 334-343 - 2009
- [c7]Xiangqian Wu, Kuanquan Wang, Yong Xu, David Zhang:
Differential Feature Analysis for Palmprint Authentication. CAIP 2009: 125-132 - [c6]Xiangqian Wu, Peipei Wang, Kuanquan Wang, Yong Xu:
Biometric cryptographic key generation based on city block distance. WACV 2009: 1-5 - 2008
- [c5]Yong Xu, David Zhang:
A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem. SSPR/SPR 2008: 775-781 - 2007
- [c4]Yong Xu, Chuancai Liu, Chongyang Zhang:
Determine the Kernel Parameter of KFDA Using a Minimum Search Algorithm. ICIC (2) 2007: 418-426 - [c3]Bo Shen, Yong Xu, Guangming Lu, David Zhang:
Detecting Iris Lacunae Based on Gaussian Filter. IIH-MSP 2007: 233-236 - 2006
- [c2]Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang:
Recognize Color Face Images Using Complex Eigenfaces. ICB 2006: 64-68 - [c1]Yong Xu, Yingnan Zhao:
Comparison Study on SVD-Based Face Classification. IIH-MSP 2006: 343-346
Informal and Other Publications
- 2023
- [i33]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. CoRR abs/2303.07180 (2023) - [i32]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. CoRR abs/2303.08358 (2023) - [i31]Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang:
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR abs/2303.17117 (2023) - [i30]Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. CoRR abs/2304.00429 (2023) - 2022
- [i29]Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu:
Localized Sparse Incomplete Multi-view Clustering. CoRR abs/2208.02998 (2022) - [i28]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multi-view Clustering. CoRR abs/2208.08040 (2022) - [i27]Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang:
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR abs/2209.14205 (2022) - [i26]Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu:
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. CoRR abs/2212.00564 (2022) - 2021
- [i25]Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang:
Asymmetric CNN for image super-resolution. CoRR abs/2103.13634 (2021) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang:
Multi-modal Aggregation Network for Fast MR Imaging. CoRR abs/2110.08080 (2021) - [i16]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao:
Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR abs/2112.05752 (2021) - 2020
- [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) - 2019
- [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
- [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
- [i4]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR abs/1705.00609 (2017) - [i3]Zheng Zhang, Yong Xu, Ling Shao, Jian Yang:
Discriminative Block-Diagonal Representation Learning for Image Recognition. CoRR abs/1707.03548 (2017) - 2016
- [i2]Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
A survey of sparse representation: algorithms and applications. CoRR abs/1602.07017 (2016) - [i1]Zheng Zhang, Yong Xu, Cheng-Lin Liu:
Natural Scene Character Recognition Using Robust PCA and Sparse Representation. CoRR abs/1606.04616 (2016)
Coauthor Index
[j204] [j201] [j200] [j197] [j190] [j188] [j183] [j181] [j180] [j179] [j177] [j176] [j175] [j173] [j170] [j169] [j168] [j161] [j155] [j154] [j147] [j136] [j134] [j125] [j122] [j117] [j116] [j113] [j111] [j110] [j108] [j101] [j84] [j81] [c62] [c61] [c60] [c59] [c58] [c57] [c54] [c53] [c52] [c51] [c50] [c48] [c47] [c43] [c42] [c41] [c38] [c34] [c30] [c24] [i33] [i32] [i31] [i30] [i29] [i28] [i7]
Wai Keung Wong
aka: Waikeung Wong
aka: Waikeung Wong
David Zhang 0001
aka: David Dapeng Zhang
aka: David Dapeng Zhang
[b2] [b1] [j206] [j205] [j201] [j192] [j183] [j180] [j168] [j167] [j166] [j165] [j159] [j158] [j153] [j150] [j146] [j145] [j133] [j131] [j112] [j109] [j106] [j101] [j100] [j91] [j90] [j89] [j86] [j85] [j79] [j77] [j75] [j74] [j70] [j68] [j67] [j66] [j65] [j63] [j58] [j54] [j50] [j49] [j47] [j45] [j43] [j41] [j39] [j32] [j28] [j21] [j20] [j19] [j17] [j16] [j14] [j13] [j12] [j11] [j9] [j8] [j7] [j6] [j5] [c7] [c5] [c3] [c2] [i25] [i20] [i17] [i15] [i2]
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