Recruitment of Postdoctoral Fellows: 250 thousand yuan/ year

Hot Papers and Important Contribution

Highly cited papers

(Please use the IE explorer to download the codes and paper.)

Recent Research Focus

1. Pattern Recognition and Biometrics

2. Image Processing And Video Analysis

3. Bioinformatics

4. Deep Learning


High Cited Papers:

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)

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), 156-171,2017 (paper)(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)


Pattern Recognition And Biometrics:

J. Li, B. Zhang, G. Lu, J. You, Y. Xu, F. Wu, D. Zhang. Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching[J]. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2019.2958061, 2019. (SCI).(paper)(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)

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)(http)

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, 87:327-247, 2019. (SCI) (paper)(http)

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(paper)(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)

J. Gou, W. Qiu, Y. Zhang, Y. Xu, Q. Mao, Y. Zhan, A Local Mean Representation-Based K-Nearest Neighbor Classifier, ACM Transactions on Intelligent Systems and Technology, 10, 3, Article 29 (April 2019), 25 pages.

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, 2019.(SCI) (Accepted) (paper)(http)

N. Han, J. Wu, X. Fang, W. Wong, Y. Xu, J. Yang, X. Li, Double Relaxed Regression for Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, 2019. (SCI) (Accepted) (paper)(http)

J. Wen, Y. Xu, H. Liu, Incomplete Multi-view Spectral Clustering with Adaptive Graph Learning, IEEE Transactions on Cybernetics, 2018. (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. Lai, D. Mo, W.K.Wong, Y. Xu D. Mao, D. Zhang, Robust Discriminant Regression for Feature Extraction. IEEE transactions on cybernetics, 48(8):2472-2484, 2018.(SCI)(paper)(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, N. Han, Adaptive weighted nonnegative low-rank representation, Pattern Recognition, 81:326-340, 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, 29 (11):5228-5241,2018.(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)

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)

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)

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)

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)

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. 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, X. Zhu, Z. Li, G. Liu, Y. Lu, H. Liu, Using the original and ‘symmetrical face’ training samples to perform representation based two-step face recognition, Pattern Recognition, 46(4), 1151-1158, 2013 (SCI) (paper) (code) (http)

Y. Xu, Q. Zhu, Z. Fan, D. Zhang, J. Mi, Z. Lai, Using the Idea of the Sparse Representation to Perform Coarse-to-Fine Face Recognition, Information Sciences, 238(20), 138-148, 2013 (SCI)(paper) (code) (http)

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)

J. Yang, L. Zhang, Y. Xu, J.-Y. Yang, Beyond sparsity: The role of L1-optimizer in pattern classification, Pattern Recognition, 45(3), 1104–1118, 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)


Image Processing And Video Analysis:

Z. Zhong, J. Wen, B. Zhang, Y. Xu, A general moving detecting method using dual-target nonparametric background model, Knowledge-Based Systems, 164(15):85-95, 2019. (SCI)(http)

Z. Zhong, Y. Xu, Z. Li , Y. Zhao, Background modelling using discriminative motion representation. IET Computer Vision, 11(6): 463-470,2017.(SCI)(http)

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)

Z. Li, G. Liu, D. Zhang, Y. Xu, Robust Single-object Image Segment Based on Salient Transition Region, Pattern Recognition52,317-331, 2015 (SCI) (paper) (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)



J. Wu, B. Zhang, Y. Xu, D. Zhang. Tongue Image Alignment via Conformal Mapping for Disease Detection, IEEE Access, 8(1): 9796-9808, 2020. (SCI).(paper)(http)

C. Feng, Y. Xu, M. Hou, L. Dai, J. Shang, PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data, BMC Bioinformatics, BMC Bioinformatics, 20(22)716, 2019. (SCI) (paper)(http)

C. Feng, Y. Xu, J. Liu, Y. Gao, C 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)(http)

K Yan, X Fang, Y Xu, B Liu, Protein Fold Recognition based on Multi-view Modeling, Bioinformatics, 2019. (Accepted) (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.L.Gao, C.H. Zheng, Y. Xu, J. Yu, Block-constraint robust principal component analysis and its application to integrated analysis of TCGA data, IEEE transactions on nanobioscience, 15(6): 510-516, 2016(SCI)(paper)(http)

J. X. Liu, Y. Xu, Y. L. Gao, C.H. Zheng, D. Wang, Q. Zhu, A class-information-based sparse component analysis method to identify differentially expressed genes on RNA-Seq data, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 13(2): 392-398, 2016(SCI)(paper)(http)

D.Wang, J.-X. Liu, Y.-L.Gao, C.-H. Zheng, Y. Xu, Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization, IEEE/ACM Transaction on Computational Biology and Bioinformatics,13(6),1059-1067, 2016(SCI) (paper) (http)

J. Qian, J. Yang, Y. Xu, General Regression and Representation Model for Classification, Plos one, 9(12), 2014 (SCI)(paper) (http)

J.-X. Liu, Xu Y, Zheng C H, Lai Z Z, RPCA-based tumor classification using gene expression data,  IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 12(4):964-970, 2015 (SCI) (paper)(http)

J.-X. Liu, Y.-L. Gao, Y. Xu, C.-H. Zheng, J. You, Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition, IEEE Transactions on NANOBIOSCIENCE,13(1),12-18, 2014 (SCI) (paper) (http)

J.-X. Liu, Y.-T. Wang, C.-H. Zheng, W. Sha, J.-X. Mi, Y. Xu, Robust PCA based method for discovering differentially expressed genes, BMC Bioinformatics, 14(Suppl8),2013 (SCI) (paper)

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)

Y. Xu, Q. Zhu, J. Wang, Breast cancer diagnosis based on a kernel orthogonal transform, Neural Computing and Applications, 21(8), 1865–1870, 2012 (SCI) (paper)

J.-X. Liu, C.-H. Zheng, Y. Xu, Extracting plants core genes responding to abiotic stresses by penalizedmatrix decomposition, Computers in Biology and Medicine,42(5),582-589, 2012 (SCI) (paper)


Deep Learning:

C. Tian, Y. Xu, Z. Li, W. Zuo, L. Fei, H. Liu, Attention-guided CNN for Image Denoising, Neural Networks, doi: 10.1016/j.neunet.2019.12.024, 2020. (SCI).(paper)(code)(http)

C. Tian, L. Fei, W. Zheng, Y. Xu, W. Zuo, C. Lin, Deep Learning on Image Denoising: An overview. arXiv preprint arXiv:1912.13171, 2019.(paper)(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)

王俊茜. 徐勇.孙利雷. 蒲祖辉. 基于乳腺X线摄影的肿块检测综述, 自动化学报, 1-18, 2019. (paper)(http) (Accepted)

S. Wu, Y. Xu. DSN: A New Deformable Subnetwork for Object Detection, IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2019.2905373, 2019 (SCI).(paper)(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).

T. Yu, J. Wang, L. Wu, Y. Xu, Three-stage network for age estimation, CAAI Transaction on Intelligent Technology, 4(2), 122-126, 2019. (paper)(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)

Q-L. Deng, Y. Xu, J-H Wang, K. Sun, Deep learning for gender recognition, Internnational Conference on Computers, Communications and Syetems (ICCCS 2015), September, 206-209, Kanyakumari India(http)

M. Chu, S. Wu, Y. Gu, et al. Rich Features and Precise Localization with Region Proposal Network for Object Detection, Chinese Conference on Biometric Recognition. Springer, Cham, 2017:605-614.(paper)(http)

Y. Gu, Z. Zhong, S. Wu, Y. Xu. Enlarging Effective Field of Convolutional Neural Networks for Better Semantic Segmentation, The 4th Asian Conference on Pattern Recognition (ACPR 2017). IEEE, Tianjin, 2017:388-393.(paper)

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)


J. Wen, Z. Zhang, Y. Xu, B. Zhang, L. Fei, H. Liu. Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019). (paper)(code)(Accepted)

J. Wen, Z. Zhang, Y. Xu, Z. Zhong, Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization, Proceedings of the European Conference on Computer Vision Workshops. Springer, Cham, 2018: 593-608. (paper)(code)(http).

Z. Zhang, L. Liu, J. Qin, F. Zhu, F. Shen, Y. Xu, L. Shao, H. Shen. Highly-Economized Multi-View Binary Compression for Scalable Image Clustering, Proceedings of the Euopen Conference on Computer Vision. Springer, Cham, 2018:717-732. (paper)(http)

H. Fang, J. Wen, Y. Xu. Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Features, CCF Chinese Conference on Computer Vision. Springer, Singapore, 2017: 51-61.(paper)(http)

J. Dong, C. Tian , Y. Xu. Face liveness detection using color gradient features, Security, Pattern Analysis, and Cybernetics (SPAC), 2017 International Conference on. IEEE, 2017: 377-382. (paper)(http)

L,. Fei, S. Teng, J. Wu , Y. Xu , J. Wen, C. Tian. Combining Enhanced Competitive Code with Compacted ST for 3D Palmprint Recognition, The 4th Asian Conference on Pattern Recognition (ACPR 2017).(paper)

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), 2272-2281, 2017. (paper)(http)

Z. Zhong, Z. Zhang, Y. Xu. Projective Representation Learning for Discriminative Face Recognition, CCF Chinese Conference on Computer Vision. Springer, Singapore, 2017: 3-15.(http)

L. Fei, Y. Xu, S. Teng, W. Zhang, W. Tang, X. Fang, Local Orientation Binary Pattern with Use for Palmprint Recognition, 12th Chinese Conference on Biometric Recogniton (CCBR) 2017(paper)(code)(http). (Best Paper)

Z. Zhang, Y. Xu, C. Liu, Natural Scene Character Recognition Using Robust PCA and Sparse Representation, 12th IAPR International Workshop on Document Analysis Systems (DAS) 2016.(paper)

X. Fang, Y. Xu, Z.Zhang, Z. Lai, L. Shen, Orthogonal self-guided similarity preserving projections, Internnational Conference on Image Processing(ICIP 2015), September, 27-30,Quebec Canada (paper)

B. Li, J. Zhang, Z. Zhang, Y. Xu, A people counting method based on head detection and tracking, International Conference on Smart Computing (SMARTCOMP 2014), November, 136-141, Hong Kong (Best Paper Award) (paper)

Q. Zhu, Y. Xu, J. Wang et. al, Kernel based sparse representation for face recognition, 21st International Conference on Pattern Recognition (ICPR 2012),November 11-15, 2012, Tsukuba, Japan,pp.1703-1706 (paper)

Y. Xu, Q. Zhu, PCA-based Multispectral Band Compression and Multispectral Palmprint Recognition, 2011 International Conference on Hand-Based Biometrics, Hongkong, 2011, 90-93

S. Wang, Y. Xu, A New Palmprint Identification Algorithm based on Gabor Filter and Moment Invariant, Proceedings of 2008 IEEE International Conferences on Cybernetics & Intelligent Systems (CIS) and Robotics, Automation & Mechatronics, June 2008, Chengdu, China.

Q. Zhu, Y. Xu, et al., A method for constructing simplified kernel model based on kernel-mse, Asia-Pacific Conference on Computational Intelligence and Industrial Application, WuHan, China, vol.1, November 28-29, 2009, pp.237-240

F. Soong, Y. Xu, D. Zhang, J. Y. Yang, A novel subspace-based Facial discriminant feature extraction method, 2009 Chinese Conference on Pattern Recognition 2009 and CJK Joint Wordshop on Pattern Recognition

L. Yao, Y. Xu, A new algorithm using variations of image pixels to classify face images, 2008 International Congress on Imge and Signal Processing (CISP2008), PP.625-629, June, 2008, HaiKou, China (paper)

Y. Xu, F. Song, A feature extraction approach based on typical samples and its application to face recognition, The Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Innsbruck, Austria, February, 2007

Y. Xu, C. Liu, C. Zhang , Determine the kernel parameter of KFDA using a minimum search algorithm, In De-Shuang Huang, Laurent Heutte, Marco Loog Eds, Proceedings of Third International Conference on Intelligent computing (ICIC2007), 418-426, Qingdao, China, August 2007.

Y. Xu, W. Li , Determine the parameter of Kernel discriminant analysis in accordance with Fisher criterion, the International Conference of Machine Learning and Cybernetics, pp., August, 2007, Hong Kong, 2931-2935 (paper)

Y. Xu, J. Y. Yang, Z. Jin, C. Liu, A Learning Approach to Derive Sparse Kernel Minimum Square Error Model, The sixth international conference on control and automation, 1278-1283 Guangzhou, China, May, 2007 (paper)

B. Shen, Y. Xu, G. Lu, D. Zhang, Detecting iris lacunae based on Gaussian filter, 2007 Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, edited by Bin-Yih Liao, Jeng-Shyang Pan, Lakhmi C. J ain et al, 233-236, Volume I, 26-28 November 2007, Kaohsiung, Taiwan.(paper)

J. Yang, D. Zhang, Y. Xu, J. Y. Yang, Recognize Color Face Images Using Complex Eigenfaces, in David Zhang, Anil K. Jain eds.: Advances in Biometrics, International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006 (SCI) (paper)

Y. Xu, D. Zhang, J. Y. Yang, Z. Jing, M. Li, Efficient KPCA-based Feature Extraction: A novel algorithm and experiments, in D.-S. Huang, K. Li. and G. W. Irwin (Eds): International Conference on Intelligent Computing 2006, Lecture Notes in Control and Information Science, pp.220-229, Kunming, China. (SCI) (paper)

Y. Xu, Y. Zhao, Comparison study on SVD-based face classification, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, December 2006, Pasadena, California, Dec. 2006 Page(s):343 – 346 (paper)

Y. Xu, J. Y. Yang, J. F. Lu, An efficient kernel-based nonlinear regression method for two-class classification, Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Guangzhou, China, August, 2005, pp.4442-4445. (paper)

Y. Xu, J. Y. Yang, J. Lu, Discussion about Foley-Sammon optimal discriminant vector, In Hanqing Lu, Tianxu Zhang, editors, Third International Symposium on Multispectral Image Processing and Pattern Recognition, October 2003,Beijing, 414-417.

Y. Xu, Z. Jin, Down-sampling face images and low-resolution face recognition, The third international conference on innovative computing, information and control,June 18-20, Dalian,China, PP.392-39

历史访问次数[] |