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High Cited Papers:
C. Tian, Y. Xu, Z. Li, W. Zuo, L. Fei, H. Liu, Attention-guided CNN for Image Denoising, Neural Networks, 124: 117-129, 2020. (SCI).(paper)(code)(http)
C. Tian, Y. Xu, W. Zuo, Image Denoising Using Deep CNN with Batch Renormalization, Neural Networks, 121:461-473, 2020. (SCI).(paper)(code)(http)
J. Wen, X. Fang, J. Cui, L. Fei, K. Yan, Y. Chen, Y. Xu, Robust Sparse Linear Discriminant Analysis, IEEE Transactions on Circuits & Systems for Video Technology, 29(2):390-403, 2019(SCI)(paper)(code)(http)
J. Wen, Y. Xu, Z. Li, Z. Ma, Y. Xu, Inter-class sparsity based discriminative least square regression, Neural Networks,102:36-47, 2018 (SCI) (paper)(code)(http)
Z. Lai, W.K.Wong, Y. Xu, J. Yang. Approximate Orthogonal Sparse Embedding for Dimensionality Reduction, IEEE Transactions on Neural Networks and Learning Systems, 27(4),723-735,2016.(SCI)(paper)(code) (http)
Z. Zhang, Y. Xu, J. Yang, X. Li, D. Zhang, A Survey of Sparse Representation: Algorithms and Applications, IEEE Access,3, 490-530,2015(SCI) (paper) (code) (http) (The ideas, algorithms, and wide applications of sparse representation are comprehensively presented.)
Z. Lai, Y. Xu, Q. Chen, J. Yang,
D. Zhang, Multilinear Sparse Principal Component Analysis,IEEE Transactions on Neural Networks and Learning Systems,25(10), 2014 (SCI)(paper) (code) (http)
Y. Xu, D. Zhang, J. Yang, J.-Y. Yang, A two-phase test sample sparse representation method for use with face recognition, IEEE Transactions on Circuits and Systems for Video Technology, 21(9), 1255-1262, 2011 (SCI) (paper) (code) (http)
Other papers:
L Wu, X Cheng, Y Xu, H Zeng, J Hou, Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning, IEEE Transactions on Visualization and Computer Graphics, 2025(SCI). (paper)(code)
F Peng, R Ma, X Lu, Y Qian, Y Xu, Z Hu, H Wu, MGRD: Multi-Granularity Reconstruction Deviation Modeling for Time Series Anomaly Detection, IEEE Transactions on Instrumentation and Measurement, 74, 1-11, 2025(SCI). (paper)
W Zhang, T Huang, J Xu, Q Yu, Y He, SY Lai, Y Xu, DF-YOLOv7: steel surface defect detection based on focal module and deformable convolution, Signal, Image and Video Processing, 19 (1), 1-10, 2025(SCI). (paper)
L Zhou, J Zhao, B Xie, Y Xu, Underground rescue path planning based on a comprehensive risk assessment approach, Simulation Modelling Practice and Theory, 138, 103022, 2025(SCI). (paper)
C Luo, S Feng, H Wang, B Zhang, P Yao, C Luo, Y Ye, Y Xu, X Li, H Fang, LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics, IEEE Transactions on Geoscience and Remote Sensing, 2024(SCI). (paper)
C Luo, S Feng, YL Quan, Y Ye, Y Xu, X Li, B Zhang, AMANet: An adaptive memory attention network for video cloud detection, Pattern Recognition, 155, 110616, 2024(SCI). (paper)
W Ouyang, Z Xu, B Shen, J Wang, Y Xu, LinkOcc: 3D Semantic Occupancy Prediction with Temporal Association, IEEE Transactions on Circuits and Systems for Video Technology, 2024(SCI). (paper)
Y Liu, J Wang, C Huang, Y Wu, Y Xu, X Cao, MLFA: Towards Realistic Test Time Adaptive Object Detection by Multi-level Feature Alignment, IEEE Transactions on Image Processing, 2024(SCI). (paper)
S Zhao, B Zhang, J Yang, J Zhou, Y Xu, Linear discriminant analysis, Nature Reviews Methods Primers, 4 (1), 70, 2024(SCI). (paper)
Z Wu, C Liu, J Wen, Y Xu, J Yang, X Li, Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision, IEEE Transactions on Neural Networks and Learning Systems, 2024(SCI). (paper)
Y Li, B Hu, X Chen, L Ma, Y Xu, M Zhang, Lmeye: An interactive perception network for large language models, IEEE Transactions on Multimedia, 2024(SCI). (paper)
L Su, L Fei, B Zhang, S Zhao, J Wen, Y Xu, Complete Region of Interest for Unconstrained Palmprint Recognition, IEEE Transactions on Image Processing, 2024(SCI). (paper)
Z Wu, Y Xu, J Yang, X Li, Misclassification in Weakly Supervised Object Detection, IEEE Transactions on Image Processing, 2024(SCI). (paper)
C Luo, S Feng, YL Quan, Y Ye, Y Xu, X Li, B Zhang, AMANet: An Adaptive Memory Attention Network for video cloud detection, Pattern Recognition, 110616, 2024(SCI). (paper)
X Wang, S Wang, J Li, M Li, J Li, Y Xu, Omnidirectional image super-resolution via position attention network, Neural Networks, 106464, 2024(SCI). (paper)
L Wu, J Hou, L Song, Y Xu, 3D Shape Completion on Unseen Categories: A Weakly-supervised Approach, IEEE Transactions on Visualization and Computer Graphics, 2024. (paper)(code)
J Li, J Wang, L Wu, X Wang, X Luo, Y Xu, AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction, Neural Networks， 172, 106153, 2024(SCI). (paper)
X Luo, W Wang, Y Xu, Z Lai, X Jin, B Zhang, D Zhang, A deep convolutional neural network for diabetic retinopathy detection via mining local and long‐range dependence, CAAI Transactions on Intelligence Technology, 2024(SCI). (paper)
CM Feng, Y Yan, K Yu, Y Xu, H Fu, J Yang, L Shao, Exploring separable attention for multi-contrast MR image super-resolution,IEEE Transactions on Neural Networks and Learning Systems, 2024. (paper)
T. Peng, M. Li, F. Chen, Y. Xu, Y. Xie, Y. Sun, D. Zhang, ISFB-GAN: Interpretable semantic face beautification with generative adversarial network, Expert Systems with Applications, 236: 121131, 2024(SCI). (paper)
J. Li, J. Wang, C. Kuang, L. Wu, X. Wang, Y. Xu, A human-like action learning process: Progressive pose generation for motion prediction, Knowledge-Based Systems, 280: 110948, 2023(SCI). (paper) (code)
R. Zhuge, J. Wang, Z. Xu, Y. Xu, Single image denoising with a feature-enhanced network, Neural Networks, 168: 313-325. 2023(SCI). (paper) (code)
J. Wen, C. Liu, S. Deng, Y. Liu, L. Fei, K. Yan, Y. Xu, Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3260349. 2023(SCI). (paper) (code)
L. Wu, Q. Zhang, J. Hou, Y. Xu, Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion, IEEE Transactions on Multimedia, doi: 10.1109/TMM.2023.3340892. 2023(SCI). (paper) (code)
Z. Wu, C. Liu, J. Wen, Y. Xu, J. Yang, X. Li, Selecting high-quality proposals for weakly supervised object detection with bottom-up aggregated attention and phase-aware loss, IEEE Transactions on Image Processing, 32(682-693). 2022(SCI). (paper) (code)
Q Zhang, J Zhou, Y Xu, B Zhang, Collaborative representation induced broad learning model for classification, Applied Intelligence, 53 (20): 23442-23456, 2023(SCI). (paper)
L Wu, C Huang, S Zhao, J Li, J Zhao, Z Cui, Z Yu, Y Xu, M Zhang, Robust fall detection in video surveillance based on weakly supervised learning, Neural networks, 163: 286-297, 2023(SCI). (paper)
T Peng, M Li, F Chen, Y Xu, D Zhang, Learning efficient facial landmark model for human attractiveness analysis, Pattern Recognition, 138: 109370, 2023(SCI). (paper)
L Sun, J Wen, J Wang, Y Zhao, B Zhang, J Wu, Y Xu, Two‐view attention‐guided convolutional neural network for mammographic image classification, CAAI Transactions on Intelligence Technology, 8 (2): 453-467, 2023(SCI). (paper)
J Li, H Pan, L Wu, C Huang, X Luo, Y Xu, Class-guided human motion prediction via multi-spatial-temporal supervision, Neural Computing and Applications, 35 (13), 9463-9479, 2023(SCI). (paper)
J Wen, C Liu, S Deng, Y Liu, L Fei, K Yan, Y Xu, Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views, IEEE Transactions on Neural Networks and Learning Systems, 2023(SCI). (paper)
T Peng, M Li, F Chen, Y Xu, D Zhang, Geometric prior guided hybrid deep neural network for facial beauty analysis, CAAI Transactions on Intelligence Technology, 2023(SCI). (paper)
S Deng, J Wen, C Liu, K Yan, G Xu, Y Xu, Projective incomplete multi-view clustering, IEEE Transactions on Neural Networks and Learning Systems, 2023(SCI). (paper)
J Li, B Liang, X Lu, M Li, G Lu, Y Xu, From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection, IEEE Transactions on Image Processing, 32, 1158-1169, 2023(SCI). (paper)
S Zhao, Z Cui, L Wu, Y Xu, Y Zuo, L Fei, Salient and consensus representation learning based incomplete multiview clustering, Applied Intelligence, 53 (3), 2723-2737, 2023(SCI). (paper)
Z Hu, Y Xu, RSP Raj, X Cheng, L Sun, L Wu, Vehicle re-identification based on keypoint segmentation of original image, Applied Intelligence, 53 (3), 2576-2592, 2023(SCI). (paper)
L Fei, WK Wong, S Zhao, J Wen, J Zhu, Y Xu, Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023(SCI). (paper)
L Xu, J Wang, C Kuang, Y Xu, A novel three-value grid scheme and rescue path planning algorithm for building fire, Journal of Intelligent and Fuzzy Systems, 1-16, 2023(SCI). (paper)
J Cui, H Mei, H Sun, Y Jingqi, W Hu, Y Xu, An experimental study on fire characteristics of urban complex underground space based on BIM, CAAI Transactions on Intelligence Technology, 2023(SCI). (paper)
X Luo, H Zhang, J Su, WK Wong, J Li, Y Xu, RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy, Computers in Biology and Medicine, 152, 106406, 2023(SCI). (paper)
Z Wu, C Liu, J Wen, Y Xu, J Yang, X Li, Selecting high-quality proposals for weakly supervised object detection with bottom-up aggregated attention and phase-aware loss, IEEE Transactions on Image Processing, 32, 682-693, 2022(SCI). (paper)
C Huang, C Liu, J Wen, L Wu, Y Xu, Q Jiang, Y Wang, Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer, IEEE Transactions on Cybernetics, 2022(SCI). (paper)
X Lu, J Long, J Wen, L Fei, B Zhang, Y Xu, Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction, Pattern Recognition, 131, 108844, 2022(SCI). (paper)
L Sun, J Wen, J Wang, Z Zhang, Y Zhao, G Zhang, Y Xu, Breast mass classification based on supervised contrastive learning and multi‐view consistency penalty on mammography, IET Biometrics, 11 (6), 588-600, 2022(SCI). (paper)
CM Feng, Y Yan, S Wang, Y Xu, L Shao, H Fu, Specificity-preserving federated learning for MR image reconstruction, IEEE Transactions on Medical Imaging, 2022(SCI). (paper)
J Qin, L Fei, Z Zhang, J Wen, Y Xu, D Zhang, Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval, IEEE Transactions on Image Processing, 31, 5343-5358, 2022(SCI). (paper)
J Wen, Z Zhang, L Fei, B Zhang, Y Xu, Z Zhang, J Li, A survey on incomplete multiview clustering, IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (2), 1136-1149, 2022(SCI). (paper)
C Liu, Z Wu, J Wen, Y Xu, C Huang, Localized Sparse Incomplete Multi-view Clustering, IEEE Transactions on Multimedia, 2022(SCI). (paper)
J Wen, S Deng, L Fei, Z Zhang, B Zhang, Z Zhang, Y Xu, Discriminative Regression With Adaptive Graph Diffusion, IEEE Transactions on Neural Networks and Learning Systems, 2022(SCI). (paper)
CM Feng, Y Yan, G Chen, Y Xu, Y Hu, L Shao, H Fu, Multi-Modal Transformer for Accelerated MR Imaging, IEEE Transactions on Medical Imaging, 2022(SCI). (paper)
K Yan, H Lv, J Wen, Y Guo, Y Xu, B Liu, PreTP-Stack: prediction of therapeutic peptides based on the stacked ensemble learing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022(SCI). (paper)
Z Wu, J Wen, Y Xu, J Yang, X Li, D Zhang, Enhanced Spatial Feature Learning for Weakly Supervised Object Detection, IEEE Transactions on Neural Networks and Learning Systems, 2022(SCI). (paper)
D Zhang, C Huang, C Liu, Y Xu, Weakly supervised video anomaly detection via transformer-enabled temporal relation learning, IEEE Signal Processing Letters, 29, 1197-1201, 2022(SCI). (paper)
C Huang, J Wen, Y Xu, Q Jiang, J Yang, Y Wang, D Zhang, Self-supervised attentive generative adversarial networks for video anomaly detection, IEEE Transactions on Neural Networks and Learning Systems, 2022(SCI). (paper)
L Fei, S Zhao, W Jia, B Zhang, J Wen, Y Xu, Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network, IEEE Transactions on Neural Networks and Learning Systems, 2022(SCI). (paper)
X Fang, L Jiang, N Han, W Sun, Y Xu, S Xie, Cross-Domain Recognition via Projective Cross-Reconstruction, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52 (12), 7366-7377, 2022(SCI). (paper)
L Wu, Y Xu, J Hou, CLP Chen, CL Liu, A two-level rectification attention network for scene text recognition, IEEE Transactions on Multimedia, 2022(SCI). (paper)
C Huang, Z Yang, J Wen, Y Xu, Q Jiang, J Yang, Y Wang, Self-supervision-augmented deep autoencoder for unsupervised visual anomaly detection, IEEE Transactions on Cybernetics, 52 (12), 13834-13847, 2021(SCI). (paper)
X Luo, Z Pu, Y Xu, WK Wong, J Su, X Dou, B Ye, J Hu, L Mou, MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms, Pattern Recognition, 120, 108104, 2021(SCI). (paper)
Z Hu, Y Xu, RSP Raj, G Liu, J Wen, L Sun, L Wu, X 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 Transactions on Computational Social Systems, 9 (5), 1345-1358, 2021(SCI). (paper)
Z Wu, J Wen, Y Xu, J Yang, D Zhang, Multiple instance detection networks with adaptive instance refinement, IEEE Transactions on Multimedia, 2021(SCI). (paper)
C Huang, Z Wu, J Wen, Y Xu, Q Jiang, Y Wang, Abnormal event detection using deep contrastive learning for intelligent video surveillance system, IEEE Transactions on Industrial Informatics, 18 (8), 5171-5179, 2021(SCI). (paper)
CM Feng, K Wang, S Lu, Y Xu, X Li, Brain MRI super-resolution using coupled-projection residual network, Neurocomputing, 456, 190-199, 2021(SCI). (paper)
C Tian, Y Xu, W Zuo, B Du, CW Lin, D Zhang, , Knowledge-Based Systems, 226, 106949, 2021(SCI). (paper)
CM Feng, Z Yang, H Fu, Y Xu, J Yang, L Shao, Donet: dual-octave network for fast MR image reconstruction, IEEE Transactions on Neural Networks and Learning Systems, 2021(SCI). (paper)
S Zeng, B Zhang, J Gou, Y Xu, W Huang, Fast and robust dictionary-based classification for image data, ACM Transactions on Knowledge Discovery from Data (TKDD), 15 (6), 1-22, 2021(SCI). (paper)
C Tian, Y Xu, W Zuo, CW Lin, D Zhang, Asymmetric CNN for image superresolution, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52 (6), 3718-3730, 2021(SCI). (paper)
S Wu, Y Xu, B Zhang, J Yang, D Zhang, Deformable template network (dtn) for object detection, IEEE Transactions on Multimedia, 24, 2058-2068, 2021(SCI). (paper)
L Fei, B Zhang, Y Xu, C Tian, I Rida, D Zhang, Jointly heterogeneous palmprint discriminant feature learning, IEEE Transactions on Neural Networks and Learning Systems, 33 (9), 4979-4990, 2021(SCI). (paper)
J Li, D Fan, L Yang, S Gu, G Lu, Y Xu, D Zhang, Layer-output guided complementary attention learning for image defocus blur detection, IEEE Transactions on Image Processing, 30, 3748-3763, 2021(SCI). (paper)
K Yan, J Wen, Y Xu, B Liu, MLDH-Fold: protein fold recognition based on multi-view low-rank modeling, Neurocomputing, 421, 127-139, 2021(SCI). (paper)
J Li, Z Li, G Lu, Y Xu, B Zhang, D Zhang, Asymmetric gaussian process multi-view learning for visual classification, Information Fusion, 65, 108-118, 2021(SCI). (paper)
J Wang, H Zhang, P Han, C Liu, Y Xu, Pixel re-representations for better classification of images, Pattern Recognition Letters, 140, 310-317, 2020(SCI). (paper)
C Huang, Z Peng, Y Xu, F Chen, Q Jiang, Y Zhang, G Jiang, YS Ho, Online learning-based multi-stage complexity control for live video coding, IEEE Transactions on Image Processing, 30, 641-656, 2020(SCI). (paper)
S Zeng, B Zhang, J Gou, Y Xu, Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification, IEEE Transactions on Cybernetics 52 (6), 4935-4948, 2020(SCI). (paper)
J Li, B Zhang, G Lu, Y Xu, F Wu, D Zhang, Harmonization shared autoencoder gaussian process latent variable model with relaxed hamming distance, IEEE Transactions on Neural Networks and Learning Systems 32 (11), 5093-5107, 2020(SCI). (paper)
Y Qin, L Sun, Y Xu, Exploring of alternative representations of facial images for face recognition, International Journal of Machine Learning and Cybernetics 11 (10), 2289-2295, 2020(SCI). (paper)
J Wen, K Yan, Z Zhang, Y Xu, J Wang, L Fei, B Zhang, Adaptive graph completion based incomplete multi-view clustering, IEEE Transactions on Multimedia 23, 2493-2504, 2020(SCI). (paper)
X Fang, N Han, G Zhou, S Teng, Y Xu, S Xie, Dynamic double classifiers approximation for cross-domain recognition, IEEE Transactions on Cybernetics 52 (4), 2618-2629, 2020(SCI). (paper)
N Yu, MJ Wu, JX Liu, CH Zheng, Y Xu, Correntropy-based hypergraph regularized NMF for clustering and feature selection on multi-cancer integrated data, IEEE Transactions on Cybernetics 51 (8), 3952-3963, 2020(SCI). (paper)
J Qian, J Yang, Y Xu, J Xie, Z Lai, B Zhang, Image decomposition based matrix regression with applications to robust face recognition, Pattern Recognition 102, 107204, 2020(SCI). (paper)
J Wu, B Zhang, Y Xu, D Zhang, Illuminance Compensation and Texture Enhancement via the Hodge Decomposition, IEEE Transactions on Circuits and Systems for Video Technology 31 (3), 956-971, 2020(SCI). (paper)
K Yan, J Wen, Y Xu, B Liu, Protein fold recognition based on auto-weighted multi-view graph embedding learning model, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020(SCI). (paper)
J Li, X Guo, G Lu, B Zhang, Y Xu, F Wu, D Zhang, DRPL: Deep regression pair learning for multi-focus image fusion, IEEE Transactions on Image Processing 29, 4816-4831, 2020(SCI). (paper)
K Yan, J Wen, JX Liu, Y Xu, B Liu, Protein fold recognition by combining support vector machines and pairwise sequence similarity scores, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020(SCI). (paper)
J Li, B Zhang, G Lu, J You, Y Xu, F Wu, D Zhang, Relaxed asymmetric deep hashing learning: point-to-angle matching, IEEE transactions on neural networks and learning systems 31 (11), 4791-4805, 2019(SCI). (paper)
CM Feng, Y Xu, MX Hou, LY Dai, JL Shang, PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data, BMC bioinformatics 20 (22), 1-11, 2019(SCI). (paper)
H Yan, Z Li, Q Wang, P Li, Y Xu, W Zuo, Weighted and class-specific maximum mean discrepancy for unsupervised domain adaptation, IEEE Transactions on Multimedia 22 (9), 2420-2433, 2019(SCI). (paper)
L Luo, J Yang, Y Zhang, Y Xu, H Huang, Nesting-structured nuclear norm minimization for spatially correlated matrix variate, Pattern Recognition 91, 147-161, 2019(SCI). (paper)
Y Tingting, W Junqian, W Lintai, X Yong, Three‐stage network for age estimation, CAAI Transactions on Intelligence Technology 4 (2), 122-126, 2019(SCI). (paper)
J Gou, W Qiu, Z Yi, Y Xu, Q Mao, Y Zhan, A Local Mean Representation-based K-Nearest Neighbor Classifier, ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-25, 2019(SCI). (paper)
S Wu, Y Xu, DSN: A new deformable subnetwork for object detection, IEEE Transactions on Circuits and Systems for Video Technology 30 (7), 2057-2066, 2019(SCI). (paper)
L Fei, B Zhang, Y Xu, Z Guo, J Wen, W Jia, Learning discriminant direction binary palmprint descriptor, IEEE Transactions on Image Processing 28 (8), 3808-3820, 2019(SCI). (paper)
L Fei, B Zhang, Y Xu, W Jia, J Wen, J Wu, Precision direction and compact surface type representation for 3D palmprint identification, Pattern Recognition 87, 237-247, 2019(SCI). (paper)
CM Feng, Y Xu, JX Liu, YL Gao, CH Zheng, Supervised discriminative sparse PCA for com-characteristic gene selection and tumor classification on multiview biological data, IEEE transactions on neural networks and learning systems 30 (10), 2926-2937, 2019(SCI). (paper)
Z Zhong, J Wen, B Zhang, Y Xu, A general moving detection method using dual-target nonparametric background model, Knowledge-Based Systems 164, 85-95, 2019(SCI). (paper)
L Fei, B Zhang, Y Xu, D Huang, W Jia, J Wen, Local discriminant direction binary pattern for palmprint representation and recognition, IEEE Transactions on Circuits and Systems for Video Technology 30 (2), 468-481, 2019(SCI). (paper)
N Han, J Wu, X Fang, WK Wong, Y Xu, J Yang, X Li, Double relaxed regression for image classification, IEEE Transactions on Circuits and Systems for Video Technology 30 (2), 307-319, 2019(SCI). (paper)
J Wen, Y Xu, H Liu, Incomplete multiview spectral clustering with adaptive graph learning, IEEE transactions on cybernetics 50 (4), 1418-1429, 2018(SCI). (paper)
J Gou, Y Xu, D Zhang, Q Mao, L Du, Y Zhan, Two-phase linear reconstruction measure-based classification for face recognition, Information Sciences 433, 17-36, 2018(SCI). (paper)
Q Deng, S Wu, J Wen, Y Xu, Multi‐level image representation for large‐scale image‐based instance retrieval, CAAI Transactions on Intelligence Technology 3 (1), 33-39, 2018(SCI). (paper)
K Yan, D Zhang, Y Xu, Correcting instrumental variation and time-varying drift using parallel and serial multitask learning, IEEE Transactions on Instrumentation and Measurement 66 (9), 2306-2316, 2017(SCI). (paper)
JX Liu, D Wang, YL Gao, CH Zheng, JL Shang, F Liu, Y Xu, A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis, Neurocomputing 228, 263-269, 2017(SCI). (paper)
J. Wen, K. Yan, Z. Zhang, Y. Xu, J. Wang, L. Fei, B. Zhang, Adaptive Graph Completion Based Incomplete Multi-view Clustering, IEEE Transactions on Multimedia, doi: 10.1109/TMM.2020.3013408. 2020(SCI). (paper) (code) (http)
J. Wen, Y. Xu, H. Liu, Incomplete Multi-view Spectral Clustering with Adaptive Graph Learning, IEEE Transactions on Cybernetics, 50(4):1418-1429, 2020. (SCI). (paper) (code) (http)
C. Liu, J. Wang, S. Duan, Y. Xu, Combining dissimilarity measures for image classification. Pattern Recognition Letters, 128(1):536-543, 2019. (SCI).(paper)(code)(http)
Y. Xu, Z. Li., C. Tian, J. Yang, Multiple vector representations of images and robust dictonary learning, Pattern Recognition Letters, 128:131-136, 2019. (SCI). (paper)(code)(http)
X. Luo , Y. Xu, J. Yang, Multi-resolution dictionary learning for face recognition, Pattern Recognition, 93: 283-292, 2019. (SCI) (paper) (code)(http)
H. Fan, F. Zhang, L. Xi, Z. Li, G. Liu, Y. Xu, LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks, Journal of BIOPHOTONICS, 12(7), 2019. (SCI) (paper) (code)(http)
Z. Zhang, L. Shao, Y. Xu, L. Liu, J. Yang, Marginal Representation Learning with Graph Structure Self-Adaptation, IEEE Transactions on Neural Networks and Learning Systems, 29(10):4645-4659, 2018. (SCI) (paper) (code)(http)
J. Wen, X. Fang, Y. Xu, C. Tian, L. Fei, Low-rank representation with adaptive graph regularization. Neural Networks, 108:83-96, 2018. (SCI)(paper) (code)(http)
Z. Zhang, Y. Xu, L. Shao, J. Yang, Discriminative Block-Diagonal Representational Learning for Image Recognition, IEEE Transactions on Neural Networks and Learning systems,29(7):3111-3125, 2018. (SCI)(paper) (code)(http)
J.Wen, B. Zhang, Y. Xu, J. Yang, H. Na, Adaptive weighted nonnegative low-rank representation, Pattern Recognition, 81:326-340, 2018(SCI)(paper)(code)(http)
J. Wen, X. Fang, J. Cui, L. Fei, K. Yan, Y. Chen, Y. Xu, Robust Sparse Linear Discriminant Analysis, IEEE Transactions on Circuits & Systems for Video Technology, 99:1-1, 2018(SCI)(paper)(code)(http)
X. Fang , N. Han , J. Wu , Y. Xu, Approximate Low-Rank Projection Learning for Feature Extraction. IEEE Transactions on Neural Networks and Learning Systems, 2018.(SCI)(paper(code)(http)
C. Zhao, X. Wang, D. Miao H. Wang, Y. Xu, Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification, Pattern Recognition, 79: 79-96, 2018 (SCI)(paper)(http)
J. Wen, Y. Xu, Z. Li, Z. Ma, Y. Xu, Inter-class sparsity based discriminative least square regression, Neural Networks, 2018 (SCI) (paper)(code)(http)
Y. Xu, Z. Li, J. Yang, D. Zhang, A Survey of Dictionary Learning Algorithms for Face Recognition, IEEE Access, 5, 8502-8514, 2017(SCI)(paper)(code)(http)
Z. Lai, D. Mo, W.K.Wong, Y. Xu D. Mao, D. Zhang, Robust Discriminant Regression for Feature Extraction. IEEE transactions on cybernetics, 2017.(SCI)(paper)(http)
K. Yan , Y. Xu , X. Fang, C. Zheng, B. Liu, Protein fold recognition based on sparse representation based classification. Artificial intelligence in medicine, 79: 1-8,2017.(SCI)(paper)(code)(http)
K.Yan, D. Zhang, Y. Xu. Correcting Instrumental Variation and Time-Varying Drift Parallel and Serial Multitask Learningm. IEEE Transactions on Instrumentation and Measurement. 66(9):2306-2316, 2017.(SCI)(paper)
Z. Zhang, L. Shao, Y. Xu, L. Liu, J. Yang, Marginal Representation Learning with Graph Structure Self-Adaptation, Accepted by IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2017.2772264, 2017. (SCI) (paper) (code)
H. Yan, Y. Ding, P. Li, Q. Wang, Y. Xu, W. Zuo, Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. Conference on Computer Vision and Pattern Recognition (CVPR), arXiv preprint arXiv:1705.00609, 2017. (paper)(http)
Y. Xu, Z. Li, B. Zhang, J. Yang, J. You, Sample diversity, representation effectiveness and robust dictionary learning for face recognition, Information Sciences, 375, 171-182, 2017. (SCI) (paper) (code) (http)
Z. Zhang, Z. Lai, Y. Xu, L. Shao, J. Wu, G. Xie, Discriminative Elastic-Net Regularized Linear Regression, IEEE Transactions on Image Processing, 26(3),1466-1481,2017. (SCI) (paper) (code) (http)
X. Fang, Y. Xu, Z. Lai, W. Wong, B. Fang, Regularized Label Relaxation Linear Regression, IEEE Transactions on Neural Networks and Learning Systems, 1-13, 2017. (SCI)(paper)(code)(http)
X. Fang, Y. Xu, X. Li, Z. Lai, S. Teng, L. Fei, Orthogonal self-guided similarity preserving projection for classification and clustering, Neural Networks, 88, 1-8, 2017. (SCI) (paper)(code)(http)
Z. Li, Z. Lai, Y. Xu, J. Yang, D. Zhang. A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification, IEEE Transactions on Neural Networks and Learning Systems, 28(2),278-293,2017.(SCI) (paper)(code)(http)
L.Fei, Y. Xu, X. Fang, J. Yang, Low Rank Representation with Adaptive Distance Penalty for Semi-supervised Subspace Classification, Pattern Recognition, 67,252-262,2017. (SCI) (paper)(code)(http)
Y. Lu, Z. Lai, Y. Xu, X. Li, D. Zhang, C. Yuan, Nonnegative Discriminant Matrix Factorization, IEEE Transaction on Circuits and Systems for Video Technology, 27(7):1392-1405,2017. (SCI) (paper)(http)
Y. Xu, L. Fei, J. Wen, D. Zhang, Discriminative and Robust Competitive Code for Palmprint Recognition, IEEE Transactions on Systems, Man, and Cybernetics: Systems ,1-10, 2016. (SCI) (paper) (http)
L. Fei, B. Zhang, Y. Xu, L. Yan, Palmprint Recognition Using Neighboring Direction Indicator, IEEE Transactions on Human-Machine Systems, 46(6), 2016. (SCI) (paper)(http)
Y. Lu, Z. Lai, Y. Xu，J. You, X. Li, C. Yuan, Projective robust nonnegative factorization, Information Sciences, 364, 16-32,2016. (SCI)(paper)(http)
Z. Lai, Y. Xu, J. Yang, L. Shen, D. Zhang, Rotational Invariant Dimensionality Reduction Algorithms, IEEE Transactions on Cybernetics,47,3733-3746,2017. (SCI)(paper)(http)
Y. Xu, Z. Zhong, J. Yang, J. You, D. Zhang. A New Discriminative Sparse Representation Method for Robust Face Recognition via l(2) Regularization, IEEE Transactions on Neural Networks and Learning Systems,28(10):2233 - 2242,2017 (SCI) (paper)(code)(http)
Z. Lai, W.K.Wong, Y. Xu, J. Yang. Approximate Orthogonal Sparse Embedding for Dimensionality Reduction, IEEE Transactions on Neural Networks and Learning Systems, 27(4),723-735,2016.(SCI)(paper)(code) (http)
Y. Xu, Z. Zhang, G. Lu, J.Yang, Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation Based Classification, Pattern Recognition, 54, 68-82, 2016.(SCI) (paper) (code) (http)
X. Fang, Y. Xu, X. Li, Z. Lai, W.K. Wong, Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation, IEEE Transaction on Cybernetics, 46(8), 1828-1838, 2016(SCI) (paper)(code) (http)
Z. Fan, Y. Xu, M. Ni, X. Fang, D. Zhang, Individualized Learning for Improving Kernel Fisher Discriminant Analysis, Pattern Recognition,58,100-109,2016(SCI) (paper) (code)(http)
J.Yang, L.Luo, J.Qian, Y.Tai, F. Zhang, Y. Xu, Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(1), 156-171,2016 (paper)(http)
L. Fei, Y. Xu, B. Zhang, X. Fang, J. Wen, Low-rank Representation Integrated With Principal Line Distance for Contactless Palmprint Recognition, Neurocomputing, 218(19), 264-275,2016 (SCI)(paper)(code)(http)
Z. Zhou, WS Zheng, JF Hu, Y. Xu, J You. One-pass Online Learning: A Local Approach, Patterin Recognition, 51,346-357, 2016(SCI) (paper)(http)
L. Fei, Y. Xu, D. Zhang, Half-orientation Extraction of Palmprint Features, Pattern Recognition Letters, 69,35-41,2016 (SCI) (paper)(http)
L Fei, Y Xu, W Tang, D Zhang, Double-orientation Code and Nonlinear Matching Scheme for Palmprint Recognition, Pattern Recognition, 49, 89-101, 2016 (SCI) (paper) (http)
Y. Xu, X. Fang,J. You, Y. Chen, H. Liu, Noise-free representation based classification and face recognition experiments. Neurocomputing , 147,307-314, 2015(paper) (code)
Y. Xu, L. Fei, D. Zhang, Combining left and right palmprint images for more accurate personal identification, IEEE Transactions on Image Processing,24(2),549-559, 2015(SCI)(paper)(http)
F. Zhang, J. Yang, J. Qian, Y. Xu, Nuclear Norm- Based 2-DPCA Extracting Features From Images, IEEE Transactions on Neural Networks and Learning Systems, 26(10), 2247-2460, 2015 (SCI)(paper) (http)
Y. Xu, X. Fang,J. Wu, X. Li, D. Zhang, Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation, IEEE Transactions on Image Processing, 25(2), 850-863, 2015 (SCI) (paper) (code) (http)
Y. Lu, Z. Lai, Y. Xu, X. Li, D. Zhang, C. Yuan, Low-Rank Preserving Projections, IEEE Transaction on Cybernetics, 46（8）, 1900-1913, 2015(SCI) (paper) (http)
W.K Wong,Z. Lai, Y. Xu, J. Wen, C.P. Ho,Joint Tensor Feature Analysis For Visual Object Recognition, IEEE Transaction on Cybernetics,45(11) 2425-2436,2015 (SCI)(paper) (http)
X. Fang, Y. Xu, X. Li, Z. Lai, W.K. Wong, Learning a Non-Negative Sparse Graph for Linear Regression, IEEE Transactions on Image Processing. 24(9),2760-2771,2015 (SCI) (paper) (code) (http)
Y. Xu, Y. Lu, Adaptive weighted fusion: A novel fusion approach for image classification. Neurocomputing, 168, 566-574,2015 (SCI)(paper)(proof) (code) (http)
Y. Xu, B. Zhang, Z. Zhong, Multiple representations and sparse representation for image classification, Pattern Recognition Letters, 68,9-14,2015 (SCI) (paper) (code) (http)
Y. Xu, X. Li, J. Yang, Z. Lai, D. Zhang,Integrating conventional and inverse representation for face recognition, IEEE Transactions on Cybernetics, 44(10), 1738-1746, 2014 (SCI) (paper) (code) (http) (idea and algorithm of inverse sparse representation are proposed)
Y. Xu, X. Fang, X. Li, J. Yang, J. You, H. Liu, S. Teng, Data uncertainty in face recognition, IEEE Transactions on Cybernetics, 44(10), 1950-1961,2014(SCI)(paper)(code)(http) (Data uncertainty in face recognition is discussed and a novel sparse representation algorithm is proposed)
Z. Lai, Y. Xu, Q. Chen, J. Yang,
D. Zhang, Multilinear Sparse Principal Component Analysis,IEEE Transactions on Neural Networks and Learning Systems,25(10), 2014 (SCI)(paper) (code) (http)
Z. Fan, Y. Xu, W. Zuo, J. Yang, J. Tang, Z. Lai, D. Zhang, Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. IEEE Transaction on Neural Network and Learning Systems, 25(8),1538-1552,2014 (SCI)(paper)(code)(http)
Z. Lai, W.K. Wong, Y. Xu, C. Zhao, M. Sun, Sparse Alignment for Robust Tensor
Learning, IEEE Transactions on Neural Networks and Learning Systems, 25(10), 1779-1792, 2014(SCI)(paper) (http)
Z. Lai, Y. Xu, Z. Jin, D. Zhang, Human Gait Recognition via Sparse
Discriminant Projection Learning, IEEE Transactions on Circuits and Systems for Video Technology,24(10), 1651-1662,2014 (SCI)(paper) (code) (http)
Y. Xu, X. Fang, Q. Zhu, Y. Chen, J. You, H. Liu, Modified minimum squared error algorithm for robust classification and face recognition experiments, Neurocomputing,135,253-261,2014(paper) (code)
X. Fang, Y. Xu, X. Li, Z. Fan, H. Liu, Y. Chen, Locality and similarity preserving embedding for feature selection, Neurocomputing, 128, 304-315, 2014 (paper) (code)
Y. Xu, X. Li, J. Yang, D. Zhang,Integrate the original face image and its mirror image for face recognition, Neurocomputing, 131,191-199,2014 (SCI) (paper) (code)
F. Chen, Y. Xu, D. Zhang,A New Hypothesis on Facial Beauty Perception, ACM Transactions on Applied Perception, 11(2), 2014(paper)
Y. Xu, Q. Zhu, Y. Chen, J.-S. Pan, An improvement to the nearest neighbor classifier and face recognition experiments, International Journal of Innovative Computing, Information and Control, 9(2), 543-554, 2013 (paper) (code)
Y. Xu, Q. Zhu, A simple and fast representation-based face recognition method, Neural Computing and Applications,22(7-8), 1543-1549, 2013 (paper)(code)
Y. Xu, Z. Li, J.-S. Pan, J.-Y. Yang, Face Recognition Based on Fusion of Multi-resolution Gabor Features, Neural Computing and Applications, 23(5), 1251-1256, 2013 (SCI)(paper)
Z. Lai, Y. Xu, J. Yang, J. Tang, D. Zhang, Sparse Tensor Discriminant Analysis, IEEE Transactions on Image Processing, 22(10), 3904-3915, 2013 (SCI) (paper) (code)(http)
J. Yang, D. Chu, L. Zhang, Y. Xu, J.-Y. Yang, Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition, IEEE Transactions on Neural Networks and Learning Systems, 24(7), 1023-1035, 2013 (SCI) (paper)
J. Qian, J. Yang, Y. Xu, Local Structure-based Image Decomposition for Feature Extraction with Applications to Face Recognition,IEEE Transactions on Image Processing, 22(9), 3591-3603,2013 (SCI) (paper)
Y. Xu, Q. Zhu, Z. Fan, M. Qiu, Y. Chen, H. Liu, Coarse to fine K nearest neighbor classifier, Pattern Recognition Letters, 34(9), 980-986, 2013 (SCI) (paper) (code)
Y. Xu, Q. Zhu, Z. Fan, Y. Wang, J.-S. Pan, From the idea of ”sparse representation” to a
representation-based transformation method for feature extraction, Neurocomputing,113, 168-176,2013 (SCI) (paper) (code)
L. He, Y. Xu, Y.C, J. Wen, Recent Advance on Mean Shift Tracking: A Survey. International Journal of Image and Graphics, 13(3),2013.(paper)
Z. Lai, W.K. Wang, Z. Jin, J. Yang, Y. Xu, Sparse Approximation to the Eigensubspace for Discrimination. IEEE Transactions on Neural Networks and Learning Systems, 23(12), 1948-1960, 2012 (SCI) (paper)
Y. Xu, Quaternion-Based Discriminant Analysis Method for Color Face Recognition, PLoS ONE, 7(8): e43493,2012(SCI) (paper) (code)(http)
J. Wang, J. You, Q. Li, Y. Xu, Orthogonal discriminant vector for face recognition across pose, Pattern Recognition, 45(12), 4069-4079, 2012 (SCI) (paper)
Y. Xu, Z. Fan, Q. Zhu, Feature space-based human face image
representation and recognition, Optical Engineering,51(1), 017205, 2012 (SCI)(paper) (code)
Y. Xu, X. Zhu, B. Xie, Method design of small-scale fire detection, Journal of Computational Information Systems, 8(17), 7355-7365, 2012 (paper)
Z. Xie, Y. Xu, Q. Hu, P. Zhu, Margin distribution based bagging pruning, Neurocomputing, 85, 11–19, 2012(SCI) (paper)
F. Song, J. You, D. Zhang, Y. Xu, Impact of full rank principal component analysis on classification algorithms for face recognition, International Journal of Pattern Recognition
and Artificial Intelligence, 26(3), 2012, (SCI) (paper)
J. Wang, J. You, Q. Li, Y. Xu, Extract minimum positive and maximum negative features for imbalanced
binary classification, Pattern Recognition, 45(3), 1136–1145, 2012 (SCI) (paper)
Y. Xu, A. Zhong, J.Yang, D. Zhang, Bimodal biometrics based on a representation and recognition approach, Optical Engineering, 50(3), 037202, 2011, (SCI) (paper) (code) (database)
Z. Fan, Y. Xu, D. Zhang, Local linear discriminant analysis framework using sample neighbors, IEEE Transactions on Neural Networks. 22(7),1119-1132, 2011 (SCI) (paper) (code) (http)
Y. Xu, D. Zhang, J. Yang, Z. Jin, J.-Y. Yang, Evaluate dissimilarity of samples in feature space for improving KPCA, International Journal of Information Technology & Decision Making, 10(3), 479-495, 2011 (SCI) (paper)(code)
Y. Xu, Q. Zhu, D. Zhang, Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments, Neurocomputing, 74(18), 3946-3952, 2011 (SCI) (paper) (code & dataset)
Z. Li, D. Zhang, Y. Xu, C. Liu, Modified local entropy-based transition region extraction and thresholding, Applied Soft Computing,11(8), 5630-5638,2011 (paper)
Y. Xu, D. Zhang, Accelerating the kernel-method-based feature extraction procedure from the viewpoint of numerical approximation, Neural Computing and Applications, 20(7), 1087-1096, 2011 (SCI) (paper)
Y. Xu, D. Zhang, J.-Y. Yang, A feature extraction method for use with bimodal biometrics, Pattern recognition, 43(3), 1106-1115, 2010 (SCI) (paper) (complex-based PCA algorithm is proposed in this paper)
Y. Xu, A. Zhong, J. Yang, D. Zhang, LPP solution schemes for use with face recognition, Pattern Recognition, 43(12),4165-4176,2010(SCI) (paper) (code)
Y. Xu, C. Lin, W. Zhao, Producing computationally efficient KPCA-based feature extraction for classification problems, Electronics letters, 46(6), 452-453, 2010 (SCI) (paper)
J. Wang, Y. Xu, D. Zhang, J. You, An efficient method for computing orthogonal discriminant vectors, Neurocomputing, 73(10-12), 2168-2176,2010,(SCI) (paper) (code)
Y. Xu, D. Zhang, Represent and fuse bimodal biometric images at the feature level: complex-matrix-based fusion scheme, Optical Engineering, 49(3), 037002, 2010 (SCI) (paper) (complex-based LDA algorithm)
Y. Xu, F. Song, G. Feng, Y. Zhao, A novel local preserving projection scheme for use with face recognition, Expert System with Applications, 37(9), 6718-6721,2010 (SCI) (paper)
Y. Xu, L. Yao, D. Zhang, J.-Y. Yang, Improving the interest operator for face recognition, Expert System with Applications, 36(6), 9719-9728, 2009 (SCI) (paper)
Y. Xu, G. Feng, Y. Zhao, One improvement to two-dimensional locality preserving projection method for use with face recognition, Neurocomputing, 73(1-3), 245-249, 2009 (SCI) (paper)
S. Chen, W. Zhao, Y. Xu, New criteria for globally exponential stability of delayed Cohen-Grossberg neural network. Mathematics and Computers in Simulation, 79(5), 1527-1543, 2009 (SCI) (paper)
Y. Xu, A new kernel MSE algorithm for constructing efficient classification procedure, International Journal of Innovative Computing, Information and Control, 5(8), 2439-2447, 2009 (SCI) (paper)
Y. Xu, D. Zhang, J. Yang, J.-Y. Yang, An approach for directly extracting features from matrix data and its application in face recognition, Neurocomputing,71(10-12),1857-1865, 2008(SCI) (paper)
Y. Xu, F. Song, Feature extraction based on a linear separability criterion, International Journal of Innovative Computing, Information and Control, 4(4), 857-865,2008 (SCI) (paper)
Y. Xu, D. Zhang , F. Song, J.-Y. Yang, Z. Jing, M. Li, A method for speeding up feature extraction based on KPCA,Neurocomputing, 70(4-6), 1056-1061, 2007 (SCI) (paper)
G.-H. Liu, Z.-Y. Li, L. Zhang, Y. Xu, Image retrieval based on micro-structure descriptor, Pattern Recognition, 44(9), 2123-2133, 2011 (SCI) (paper)
F. Song, D. Zhang, Y. Xu, J. Wang, Five new feature selection metrics in text categorization, International Journal of Pattern Recognition and Artificial Intelligence, 21(6), 1085 – 1101, 2007. (SCI)
Y. Xu, D. Zhang, Z. Jin, M. Li, J.-Y. Yang, A fast kernel-based nonlinear discriminant analysis for multi-class problems, Pattern Recognition, 39(6), 1026-1033,2006 (SCI) (paper)
Y. Xu, Z. Jin , J.-Y. Yang, Z. Tang, Y. Zhao, Analysis and Experiments on Two Linear Discriminant Analysis Methods, Engineering Science, 4(3),37-47,2006
J. Yang, D. Zhang, Y. Xu, J.-Y. Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 38(7), 1125–1129, 2005 (SCI) (paper)
Y. Xu, J.-Y. Yang, Z. Jin, A novel method for Fisher discriminant Analysis, Pattern Recognition, 37 (2), 381-384, 2004 (SCI) (paper)
Y. Xu, J.-Y. Yang, J. Yang, A reformative kernel Fisher discriminant analysis, Pattern Recognition, 37 (6), 1299-1302, 2004 (SCI) (paper)
Y. Xu, J.-Y. Yang, J. Lu, D.-J. Yu. An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments, Pattern Recognition, 37 (10), 2091-2094, 2004 (SCI) (paper)
Y. Xu, J.-Y. Yang, Z. Jin. Theory analysis on FSLDA and ULDA, Pattern Recognition, 36(12), 3031-3033,2003 (SCI) (paper)
徐 勇,陆建峰,金忠,杨静宇.改进的KMSE方法及其应用,模式识别与人工智能, 20(3): 394-398, 2007.
郑宇杰,杨静宇,徐勇,於东军.一种基于Fisher鉴别极小准则的特征提取方法. 计算机研究与发展,2006,43(7): 1201-1206. (EI) (063410082321)
徐勇,杨静宇,金忠,娄震. 一种基于核的快速非线性鉴别分析方法,计算机研究与发展,42(3)：367-374,2005 (paper)
徐勇,张重阳,杨静宇.一种人脸图象线性变换模型及其识别应用,系统仿真学报,17(4)：846-847,2005 (paper)
徐勇,陆建峰,杨静宇.一种人脸图象自动识别方法及实验.系统仿真学报.16(1)：14-16,2004 (paper)
Tian C, Xu Y, Zuo W, Lin C, Zhang D. Asymmetric CNN for image super-resolution，IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021.(paper)(code)(http)
C. Tian, Y. Xu, W. Zuo, C. Lin, D. Zhang. Designing and Training of A Dual CNN for Image Denoising, Knowledge-Based Systems, 226:106949, 2021.(paper)(code)(http)
C. Tian, Y. Xu, W. Zuo, Image Denoising Using Deep CNN with Batch Renormalization, Neural Networks, 121:461-473, 2020. (SCI).(paper)(code)(http)
C. Tian, L. Fei, W. Zheng, Y. Xu, W. Zuo, C. Lin, Deep Learning on Image Denoising: An overview. Neural Networks, 131:251-275, 2020.(SCI)(paper)(http)
C. Tian, R. Zhu, Z. Wu, Y. Xu, W. Zuo, C. Chen, C. Lin. Lightweight image super-resolution with enhanced CNN, Knowledge-Based Systems, 205:106235, 2020. (SCI).(paper)(code)(http)
C. Tian, Y. Xu, W. Zuo, B. Zhang, L. Fei, C. Lin, Coarse-to-fine CNN for image super-resolution, IEEE Transactions on Multimedia, 23, 1489-1502, 2021.(SCI).(paper)(code)(http)
C. Tian, Y. Xu, Z. Li, W. Zuo, L. Fei, H. Liu, Attention-guided CNN for Image Denoising, Neural Networks, 124: 117-129, 2020. (SCI).(paper)(code)(http)
C. Tian, Y. Xu, L. Fei, J. Wang, J. Wen, N. Luo, Enhanced CNN for image denoising,CAAI Transaction on Intelligent Technology, 4(1):17– 23, 2019. (paper)(code)(http).
吴帅. 徐勇.赵东宁. 基于深度卷积网络的目标检测综述,模式识别与人工智能, 31(4):335-346, 2018. (paper)(http)
C. Tian, Y. Xu, L. Fei, K. Yan, Deep Learning for Image Denoising: A Survey, The 12th International Conference on Genetic and Evolutionary Computing (ICGEC 2018): 563-572, 2018. (paper)(http)
K. Guo, S. Wu, Y. Xu, Face recognition using both visible light image and near-infrared image and a deep network, CAAI Transactions on Intelligence Technology, 2(1): 39-47, 2017(paper)(code)(http)
吕梦思.徐勇. 基于深度学习的实时行人检测方案.(文档)(code)
何建霆. 徐勇.2017cccv遥感目标提取挑战赛解决方案.(文档)(code)
C. Feng, Z. Yang, H. Fu, Y. Xu, J. Yang, L. Shao, DONet: Dual-Octave Network for Fast MR Image Reconstruction, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3090303, 2021.(paper)(code)(http)
C. Feng, K. Wang, S. Lu, Y. Xu, X. Li, Brain MRI super-resolution using coupled-projection residual network, Neurocomputing, 456:190-199, 2021.(paper)(code)(http)
K Yan, X Fang, Y Xu, B Liu, Protein Fold Recognition based on Multi-view Modeling, Bioinformatics, 35(17):2982-2990, 2019.(paper)(code)(http)
J.-X. Liu, D. Wang,Y.-L. Gao, C.-H. Zheng, Y. Xu, J. Yu, Regularized Non-negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: a Survey, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(3): 974-987, 2018. (SCI) (paper)(code)(http)
K. Yan , Y. Xu , X. Fang, C. Zheng, B. Liu, Protein fold recognition based on sparse representation based classification. Artificial intelligence in medicine, 79: 1-8,2017.(SCI)(paper)(code)(http)
J-X. Liu, Y. Xu, C.-H. Zheng, Y. Wang, J.-Y. Yang, Characteristic Gene Selection via Weighting Principal Components by Singular Values, PLoS ONE, 7(7): e38873 (SCI) (paper) (code)
Z. Zhong, B. Zhang, G. Lu, Y. Zhao, and Y. Xu, An Adaptive Background Modeling Method for Foreground Segmentation, IEEE Transactions on Intelligent Transportation Systems, 18(5):1109-1121,2017 (SCI). (paper)(code)(http)
Y. Xu, J. Dong, B. Zhang, D. Xu, Background Modeling Methods in Video Analysis: A review and comparative evaluation, CAAI Transactions on Intelligence Technology, 1(1): 43-60,2016 (paper)(code)(http)
Y. Xu, J. Wen, L. Fei, Z. Zhang, Review of video and image defogging algorithms and related studies on image restoration and enhancement, IEEE Access, 4: 165-188, 2016 (SCI) (paper) (code) (http)
J. Wen, Y. Xu, J. Tang, Y. Zhan, Z. Lai, X. Guo, Joint video frame set division and low-rank decomposition for background subtraction, IEEE Transactions on Circuits and Systems for Video Technology, 24(12):2034-2048, 2014 (SCI)(paper) (database) (http)
