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:

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.)

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)

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)

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:

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)

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)

Z. Zhang, Y. Xu, L. Shao, J. Yang, Discriminative Block-Diagonal Representational Learning for Image Recognition, IEEE Transactions on Neural Networks and Learning systems, DOI: 10.1109/TNNLS. 2017. 2712801,2017. (SCI)(paper) (code) (Accepted)

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, Accepted by 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 L2 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, 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)

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, 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)

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)

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, 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)

 

Bioinformatics:

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, DOI: 10.1109/TCBB.2017.2665557 (SCI) (paper)(code)(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:

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)

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

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

Gu Y, Zhong Z, Wu S, Xu Y. Enlarging Effective Field of Convolutional Neural Networks for Better Semantic Segmentation[C]//The 4th Asian Conference on Pattern Recognition (ACPR 2017).(paper)

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

Gu Y, Zhong Z, Wu S, Xu Y. Enlarging Effective Field of Convolutional Neural Networks for Better Semantic Segmentation[C]//The 4th Asian Conference on Pattern Recognition (ACPR 2017).(paper)

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

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

Lunke Fei, Yong Xu, Shaohua Teng, Wei Zhang, Wenliang Tang, Xiaozhao 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)

Qi Zhu, Yong Xu, Jinghua 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)

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

Shuang Wang, Yong 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.

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

Feng-Xi Soong, Yong Xu, David Zhang, Jing-Yu Yang, A novel subspace-based Facial discriminant feature extraction method, 2009 Chinese Conference on Pattern Recognition 2009 and CJK Joint Wordshop on Pattern Recognition

Lu Yao, Yong 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)

Yong Xu, Fengxi 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

Yong Xu, Chuancai Liu, Chongyang 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.

Yong Xu, Weijie 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)

Yong Xu, Jing-Yu Yang, Zhong Jin, Chuancai 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)

Bo Shen, Yong Xu, Guangming Lu, David 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)

Jian Yang, David Zhang, Yong Xu, and Jing-yu 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)

Yong Xu, David Zhang, Jing-Yu Yang, Zhong Jing, Miao 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

YongXu, Jing-Yu Yang, Zhong Jin and Yu-Jie Zheng, Local correlation classification and its application to face recognition across illumination, the International Conference of Machine Learning and Cybernetics, pp.3277-3281 August 2006, Dalian.(paper)

Yong Xu, Bin Sun, Chongyang Zhang, Zhong Jin, Chuan-cai Liu , Jing-yu Yang, An Implemental framework for kernel methods with high dimensional patterns, the International Conference of Machine Learning and Cybernetics, pp. 3271-3276, August 2006, Dalian.

Yong xu, Jing-Yu Yang, Zen-Min Tang, Chun-Xia Zhao, Two-dimensional technique for image presentation and its application, The Fifth International Conference of Machine Learning and Cybernetics, pp.4376-4382, August 2006, Dalian. (paper)

Yong Xu, Guangming Lu, Analysis on Fisher discriminant criterion and linear separability of feature space, Proceedings of the 2006 International conference on computational intelligence and security, pp. 1671-1676, Guangzhou, China.(paper)

Yong Xu, Yingnan 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)

Yong 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)

Yong Xu, Jing-yu Yang, Jian-feng 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.

Yong Xu, Zhong 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

 
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