Dr.  Zongben Xu
Academician of the Chinese 
Academy of Sciences,
Professor of Mathematics & 
Computer Science,
Xi’an Jiaotong University,
Chief Scientist of National 
Basic Research Program
 of China.

Contact Information

School of Mathematics & Statistics
Xi’an Jiaotong University
Xi’an, China

Fax: 86 29 82668559
Tel: 86 29 82668005
Email: zbxu@mail.xjtu.edu.cn
Secretary: Jijie Zhang

Selected Publications



2017 | 20162015 | 2014 | 2013 |2012 | 2011 | 2010 |

2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 |


Books or Book Chapters






  1.  Huibin LI, Sun J, Zongben XU, et al. Multimodal 2D+3D Facial Expression Recognition with Deep Fusion Convolutional Neural Network[J]. IEEE Transactions on Multimedia, 2017, PP(99):1-1.
  2. Dai M, Ming J, Cai M, et al. IGESS: A Statistical Approach to Integrating Individual-Level Genotype Data and Summary Statistics in Genome-Wide Association Studies.[J]. Bioinformatics, 2017, 33(18):2882.
  3. Zhu X, Li X, Zhang S, et al. Graph PCA Hashing for Similarity Search[J]. IEEE Transactions on Multimedia, 2017, PP(99):1-1.
  4.  Bangyu W, Wu R S, Gao J H, et al. Survey sinking migration using the time-space localized dreamlet one-way propagator[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION.
  5. Qi X, Qian Z, Meng D, et al. Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, PP(99):1-1.
  6. Xu L, Lin S, Wang Y, et al. Shrinkage Degree in L2-Rescale Boosting for Regression[J]. IEEE Transactions on Neural Networks & Learning Systems, 2017, 28(8):1851-1864.
  7. Gao J, Zhang B, Han W, et al. A new approach for extracting the amplitude spectrum of the seismic wavelet from the seismic traces[J]. Inverse Problems, 2017, 33(8).
  8. Chen Y, Cao X, Zhao Q, et al. Denoising Hyperspectral Image With Non-i.i.d. Noise Structure[J]. IEEE Transactions on Cybernetics, 2017, PP(99):1-13.
  9. Gong T, Xu Z, Chen H. Generalization Analysis of Fredholm Kernel Regularized Classifiers[J]. Neural Computation, 2017, 29(7):1879-1901.
  10.  Bi H, Sun J, Xu Z. Unsupervised PolSAR Image Classification Using Discriminative Clustering[J]. IEEE Transactions on Geoscience & Remote Sensing, 2017, 55(6):3531-3544.
  11. Li H, Zhang Q, Deng J, et al. A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization[J]. IEEE Trans Neural Netw Learn Syst, 2017, PP(99):1-16.
  12. Lin X, Lin S, Zeng J, et al. Greedy Criterion in Orthogonal Greedy Learning[J]. IEEE Transactions on Cybernetics, 2017, PP(99):1-12.
  13. Cao X, Xu L, Meng D, et al. Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification[J]. Neurocomputing, 2017, 226(C):90-100.
  14. Jiang X D, Wang L L, Zhao Q, et al. Relative acoustic impedance inversion via Toeplitz-Sparse Matrix Factorization[J]. Chinese Journal of Geophysics.
  15. Bi H, Sun J, Xu Z. PolSAR image classification using discriminative clustering[C]// International Workshop on Remote Sensing with Intelligent Processing. IEEE, 2017:1-4.




  1.  Lan S, Wang L, Song Y, et al. Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design[J]. IEEE Transactions on Visualization & Computer Graphics, 2016, 23(5):1546-1560.
  2.  Fang J, Lin D, Schulz S C, et al. Joint sparse canonical correlation analysis for detecting differential imaging genetics modules[J]. Bioinformatics, 2016, 32(22):btw485.
  3. Cao X, Zhao Q, Meng D, et al. Robust Low-rank Matrix Factorization under General Mixture Noise Distributions[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2016, 25(10):4677-4690.
  4. Zeng J, Lin S, Xu Z. Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm[M]. IEEE Press, 2016.
  5.  Cao W, Yao W, Jian S, et al. Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2016, 25(9):4075-4090.
  6. He S, Wang Y, Wang J, et al. Block-sparse compressed sensing with partially known signal support via non-convex minimisation[J]. Iet Signal Processing, 2016, 10(7):717-723.
  7. Yang Z, Xu L, Cai Z, et al. Re-scale AdaBoost for attack detection in collaborative filtering recommender systems[J]. Knowledge-Based Systems, 2016, 100:74-88.
  8. Lin Xu, Shaobo Lin, Zongben Xu. Learning capability of the truncated greedy algorithm[J]. Science China Information Sciences, 2016(5):1-15.
  9.  Wang L, Zhao Q, Gao J, et al. Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization[J]. Geophysics, 2016, 81(3):V169-V182.
  10. Gong T, Zou B, Xu Z. Learning With L1-Regularizer Based on Markov Resampling[J]. IEEE Transactions on Cybernetics, 2016, 46(5):1189.
  11. Xu F, Lu Z, Xu Z. An efficient optimization approach for a cardinality-constrained index tracking problem[J]. Optimization Methods & Software, 2016, 31(2):258-271.
  12. Liang Y, Chai H, Liu X Y, et al. Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization[J]. Bmc Medical Genomics, 2016, 9(1):1-11.
  13. Fang J, Lin S, Xu Z. Learning and approximation capabilities of orthogonal super greedy algorithm[M]. Elsevier Science Publishers B. V. 2016.
  14. Cao X, Chen Y, Zhao Q, et al. Low-Rank Matrix Factorization under General Mixture Noise Distributions[C]// IEEE International Conference on Computer Vision. IEEE, 2016:1493-1501.
  15. Zeng D, Xie Q, Bian Z, et al. Noise suppression for cerebral perfusion CT via intrinsic tensor sparsity regularization: Initial study[C]// IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop. IEEE, 2016:1-4.
  16. Xie Q, Zhao Q, Meng D, et al. Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization[C]// Computer Vision and Pattern Recognition. IEEE, 2016:1692-1700.
  17. Yang H, Sun J, Li H, et al. Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images[M]// Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. Springer International Publishing, 2016.
  18. Li H, Fan Y, Zhang Q, et al. A multi-phase multiobjective approach based on decomposition for sparse reconstruction[C]// Evolutionary Computation. IEEE, 2016:601-608.



  1. Xu F, Lu Z, Xu Z. An efficient optimization approach for a cardinality-constrained index tracking problem[J]. Optimization Methods & Software, 2016, 31(2):258-271.
  2. Sun J, Xu Z. Color Image Denoising via Discriminatively Learned Iterative Shrinkage[J]. IEEE Transactions on Image Processing, 2015, 24(11):4148.
  3. Lin S, Zeng J, Xu Z. Error Estimate for Spherical Neural Networks Interpolation[J]. Neural Processing Letters, 2015, 42(2):369-379.
  4. Wang Y, Zeng J, Peng Z, et al. Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing[J]. IEEE Transactions on Signal Processing, 2014, 63(11):2957-2971.
  5. Lin Xu, Shaobo Lin, Yao Wang, et al. Shrinkage Degree in $L_{2$ -Rescale Boosting for Regression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(8):1851-1864.
  6. Meng D Y, Zhang B, Xu Z B, et al. Robust low-rank tensor factorization by cyclic weighted median[J]. Science China Information Sciences, 2015, 58(5):1-11.
  7. Huang G, Cambria E, Toh K, et al. New Trends of Learning in Computational Intelligence [Guest Editorial][J]. Computational Intelligence Magazine IEEE, 2015, 10(2):16-17.
  8. Zhang, Cheng-Yi; Luo, Shuanghua; Xu, Zongben. On parallel multisplitting block iterative methods for linear systems arising in the numerical solution of Euler equations. Journal of Computational and Applied Mathematics, v 279, p 249-260, February 3, 2015. PDF
  9. Zhao, Qian; Meng, Deyu; Xu, Zongben; Gao, Chenqiang. A block coordinate descent approach for sparse principal component analysis. Neurocomputing, v 153, p 180-190, April 4, 2015. PDF
  10. Zhao, Qian; Meng, Deyu; Xu, Zongben; Zuo, Wangmeng; Yan, Yan. L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method. IEEE Transactions on Neural Networks and Learning Systems, January 15, 2015, In Press. PDF
  11. Cao, Wenfei; Wang, Yao; Yang, Can; Chang, Xiangyu; Han, Zhi; Xu, Zongben. Folded-concave penalization approaches to tensor completion, Neurocomputing, v 152, p 261-273, March 25, 2015. PDF
  12. Lin S, Sun X, Xu Z, et al. Model selection of polynomial kernel regression[J]. Computer Science, 2015.
  13. Xu, Jie; Yan Tang, Yuan; Zou, Bin; Xu, Zongben; Li, Luoqing; Lu, Yang. The generalization ability of online SVM classification based on Markov sampling. IEEE Transactions on Neural Networks and Learning Systems, v 26, n 3, p 628-639, March 1, 2015. PDF
  14. Lin, Shaobo; Zeng, Jinshan; Xu, Lin; Xu, Zongben. Jackson-type inequalities for spherical neural networks with doubling weights. Neural Networks, v 63, p 57-65, March 01, 2015. PDF
  15. Han, Zhi; Xu, Zongben; Zhu, Song-Chun. Video Primal Sketch: A Unified Middle-Level Representation for Video.Journal of Mathematical Imaging and Vision,February 4, 2015, In Press. PDF
  16. Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce. Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, 2015. PDF
  17. Zhao Q, Meng D, Kong X, et al. A Novel Sparsity Measure for Tensor Recovery[C]// IEEE International Conference on Computer Vision. IEEE, 2015:271-279.
  18. Cao X, Chen Y, Zhao Q, et al. Low-Rank Matrix Factorization under General Mixture Noise Distributions[C]// IEEE International Conference on Computer Vision. IEEE, 2016:1493-1501.
  19. Liang D, Qiao C, Xu Z. Enhancing Both Efficiency and Representational Capability of Isomap by Extensive Landmark Selection[J]. Mathematical Problems in Engineering,2015,(2015-3-19), 2015, 2015:1-18.
  20. Liu, Xia; Lin, Shaobo; Fang, Jian; Xu, Zongben. Is extreme learning machine feasible? A theoretical assessment (Part I). IEEE Transactions on Neural Networks and Learning Systems, v 26, n 1, p 7-20, January 1, 2015. PDF
  21. Lin, Shaobo; Liu, Xia; Fang, Jian; Xu, Zongben. Is extreme learning machine feasible? A theoretical assessment (Part II). IEEE Transactions on Neural Networks and Learning Systems, v 26, n 1, p 21-34, January 1, 2015. PDF





  1. Liu, Junmin; Chen, Yijun; Zhang, Jiangshe; Xu, Zongben. Enhancing low-rank subspace clustering by manifold regularization. IEEE Transactions on Image Processing, v 23, n 9, p 4022-4030, September 2014. PDF
  2. Luan, Xin-Ze ; Liang, Yong; Liu, Cheng; Leung, Kwong-Sak; Chan, Tak-Ming; Xu, Zong-Ben; Zhang, Hai. A novel L1/2 regularization shooting method for Cox's proportional hazards model.Soft Computing, v 18, n 1, p 143-152, January 2014. PDF
  3. Zeng, Jinshan; Lin, Shaobo; Xu, Zongben. Sparse solution of underdetermined linear equations via adaptively iterative thresholding. Signal Processing, v 97, p 152-161, 2014. PDF
  4. Wang, Lisheng; Wang, Pai; Cheng, Liuhang; Ma, Yu; Wu, Shenzhi; Wang, Yu-Ping; Xu, Zongben. Detection and reconstruction of an implicit boundary surface by adaptively expanding a small surface patch in a 3D image. IEEE Transactions on Visualization and Computer Graphics, v 20, n 11, p 1490-1506, November 1, 2014. PDF
  5. Lin, Shaobo; Liu, Xia; Rong, Yuanhua; Xu, Zongben. Almost optimal estimates for approximation and learning by radial basis function networks. Machine Learning, v 95, n 2, p 147-164, May 2014. PDF
  6. Fang, Jian; Xu, Zongben; Zhang, Bingchen; Hong, Wen; Wu, Yirong. Fast compressed sensing sar imaging based on approximated observation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v 7, n 1, p 352-363, January 2014. PDF
  7. Xu, Jie; Tang, Yuan Yan; Zou, Bin; Xu, Zongben; Li, Luoqing; Lu, Yang. Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks, v 53, p 40-51, May 2014. PDF
  8. Wang, Hui ; Huang, Ting-Zhu; Xu, Zongben; Wang, Yilun. An active contour model and its algorithms with local and global Gaussian distribution fitting energies. Information Sciences, v 263, p 43-59, April 1, 2014. PDF
  9. Lin, Shaobo; Rong, Yuanhua; Xu, Zongben. Multivariate Jackson-type inequality for a new type neural network approximation. Applied Mathematical Modelling, v 38, n 24, p 6031-6037, December 15, 2014. PDF
  10. Peng, Yi; Meng, Deyu; Xu, Zongben; Gao, Chenqiang; Yang, Yi; Zhang, Biao. Decomposable nonlocal tensor dictionary learning for multispectral image denoising. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p 2949-2956, September 24, 2014. PDF
  11. Xu, Jie; Tang, Yuan Yan; Zou, Bin; Xu, Zongben; Li, Luoqing; Lu, Yang; Zhang, Baochang. The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Transactions on Cybernetics, August 21, 2014. In Press. PDF
  12. Wang, Lingling ; Gao, Jinghuai; Xu, Zongben; Weng, Bing; Jiang, Xiudi. Hydrocarbon detection using adaptively selected spectrum attenuation. Journal of Applied Geophysics, v 105, p 59-66, June 2014. PDF
  13. Zeng, Jinshan; Lin, Shaobo; Wang, Yao; Xu, Zongben. L1/2 regularization: Convergence of iterative half thresholding algorithm. IEEE Transactions on Signal Processing, v 62, n 9, p 2317-2329, May 1, 2014. PDF
  14. Liu, Cheng ; Liang, Yong; Luan, Xin-Ze; Leung, Kwong-Sak; Chan, Tak-Ming; Xu, Zong-Ben; Zhang, Hai. The L1/2 regularization method for variable selection in the Cox model. Applied Soft Computing Journal, v 14, n PART C, p 498-503, 2014. PDF
  15. Li, Feng; Xu, Zongben. Sparse bayesian hierarchical prior modeling based cooperative spectrum sensing in wideband cognitive radio networks. IEEE Signal Processing Letters, v 21, n 5, p 586-590, May 2014. PDF
  16. Zou, Bin; Tang, Yuan Yan; Xu, Zongben; Li, Luoqing; Xu, Jie; Lu, Yang. The generalization performance of regularized regression algorithms based on markov sampling. IEEE Transactions on Cybernetics, v 44, n 9, p 1497-1507, September 2014. PDF
  17. Huang, Bo; Song, Huihui; Cui, Hengbin; Peng, Jigen; Xu, Zongben. Spatial and spectral image fusion using sparse matrix factorization. IEEE Transactions on Geoscience and Remote Sensing, v 52, n 3, p 1693-1704, March 2014. PDF
  18. Huang, Jie; Huang, Ting-Zhu; Zhao, Xi-Le; Xu, Zong-Ben; Lv, Xiao-Guang. Two soft-thresholding based iterative algorithms for image deblurring.  Information Sciences, v 271, p 179-195, July 1, 2014. PDF
  19. Wang, Yao; Wang, Jianjun; Xu, Zongben. Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Processing, v 104, p 188-196,November 2014. PDF
  20. Lin, Shaobo; Zeng, Jinshan; Xu, Zongben. Error Estimate for Spherical Neural Networks Interpolation. Neural Processing Letters, May 17, 2014. In Press. PDF
  21. Wang, Lisheng; Xu, Zongben. Quantitative studies on asymptotic growth behaviors of trajectories of nonlinear discrete dynamical systems. IEEE Transactions on Automatic Control, v 59, n 7, p 1930-1935, July 2014. PDF





  1. Yong Liang, Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang. Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinformatics 14: 198,  2013. PDF
  2. Deyu Meng, Hengbin Cui, Zongben Xu, Kaili Jing. Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm. Data Knowl. Eng. 88: 25-36, 2013. PDF
  3. Yao Wang, Jianjun Wang, Zongben Xu. On recovery of block-sparse signals via mixed l2/lq (0 < q <= 1) norm minimization. EURASIP J. Adv. Sig. Proc. 2013: 76, 2013. PDF
  4. Chun-Zhong Li, Zongben Xu, Tao Luo. A heuristic hierarchical clustering based on multiple similarity measurements. Pattern Recognition Letters 34(2): 155-162, 2013. PDF
  5. Chen Qiao, Wenfeng Jing, Zongben Xu. The UPPAM continuous-time RNN model and its critical dynamics study. Neurocomputing 106: 158-166, 2013. PDF
  6. Deyu Meng, Yee Leung, Zongben Xu. The strong convergence of visual classification method and its applications. Inf. Sci. 249: 85-95, 2013. PDF
  7. Wenfei Cao, Jian Sun, Zongben Xu. Fast image deconvolution using closed-form thresholding formulas of regularization. J. Visual Communication and Image Representation 24(1): 31-41, 2013. PDF
  8. Deyu Meng, Yee Leung, Zongben Xu.Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds. Pattern Recognition 46(8): 2175-2186, 2013. PDF
  9. Deyu Meng, Yee Leung, Zongben Xu. Detecting Intrinsic Loops Underlying Data Manifold. IEEE Trans. Knowl. Data Eng. 25(2): 337-347, 2013. PDF
  10. Jinshan Zeng, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu. 
Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills. Signal Processing 93(7): 1831-1844, 2013. PDF 
  11. Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang. Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. IEEE Trans. Neural Netw. Learning Syst. 24(2): 288-300, 2013. PDF
  12. Shaobo Lin, Yuanhua Rong, Xingping Sun, Zongben Xu. Learning Capability of Relaxed Greedy Algorithms. IEEE Trans. Neural Netw. Learning Syst. 24(10): 1598-1608, 2013. PDF
  13. Feng Li, Zongben Xu, Shihua Zhu. Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation. IEEE T. Vehicular Technology 62(3): 1394-1399, 2013. PDF





  1. Li Feng, Wang Wei, Xu Zongben. Some results on the lexicographic product of vertex-transitive graph, APPLIED MATHEMATICS LETTERS, 24(11): 1924-1926, NOV 2011 (SCI: 797SB) PDF
  2. Fu Shouzhong, Xu Zongben, Wei Guangsheng. Inverse indefinite Sturm-Liouville problems with three spectra, JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 381(2)506-512, SEP 15 2011 (SCI: 768XL) PDF  
  3. Lin Shaobo; Cao Feilong; Xu Zongben. Essential rate for approximation by spherical neural networks. NEURAL NETWORKS, 24(7): 752-758, 2011. (SCI: 813VB) PDF
  4. Lin ShaoBo; Cao FeiLong; Xu ZongBen. The essential rate of approximation for radial function manifold. SCIENCE CHINA-MATHEMATICS, 54(9): 1985-1994, 2011. (SCI: 811OY)PDF
  5. Chang Xiangyu, Xu Zongben, Zou Bin. Generalization bounds of regularization algorithms derived simultaneously through hypotheses space complexity, algorithmic stability and data quality. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 9(4): 549-570, JUN 2011 (SCI: 793SA) PDF
  6. Sun Jian, Sun Jian, Xu Zongben. Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement, IEEE TRANSACTIONS ON IMAGE PROCESSING, 20(6): 1529-1542, JUN 2011 (SCI: 765TX) PDF
  7. Wang Jianjun, Xu Zongben. Neural networks and the best trigomometric approximation, JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 24( 2): 401-412, APR 2011 (SCI: 750FG) PDF
  8. Wang Wei, Li Feng, Lu Hongliang. Graphs determined by their generalized characteristic polynomials, LINEAR ALGEBRA AND ITS APPLICATIONS,  434(5): 1378-1387, MAR 1 2011 (SCI: 713FP)PDF 
  9. Zou Bin, Chen Rong, Xu Zongben. Learning performance of Tikhonov regularization algorithm with geometrically beta-mixing observations, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 141(3), 1077-1087, MAR 2011 (693MB) PDF
  10. Meng Deyu, Leung Yee, Xu Zongben. A new quality assessment criterion for nonlinear dimensionality reduction,NEUROCOMPUTING, 74(6): 941-948,  2011 (735KJ) PDF
  11. Zhang Yongquan, Cao Feilong, Xu Zongben. Optimal rate of the regularized regression learning algorithm, INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 88(7): 1471-1483, 2011 (SCI: 749YA)PDF
  12. Zhang Yongquan, Cao Feilong, Xu Zongben. Estimation of learning rate of least square algorithm via Jackson operator, NEUROCOMPUTING, 74(4): 516-521,  JAN 2011 (712WU) PDF 
  13.  Cao Feilong, Lin Shaobo, Xu Zongben. Approximation capability of interpolation neural networks, NEUROCOMPUTING, 74(1-3): 57-460,  DEC 2010 (SCI: 701GG)  PDF



  1. Wang Jianjun, Xu Zongben. New study on neural networks: The essential order of approximation. NEURAL NETWORKS, 23(5): 618-624, JUN 2010 (SCI: 609ZD) PDF
  2. Sun, Jian, Xu, Zongben. Scale selection for anisotropic diffusion filter by Markov random field model. PATTERN RECOGNITION, 43(8): 2630-2645, AUG 2010 (SCI: 603CS)  PDF 
  3. Xu Zongben, Sun Jian. Image Inpainting by Patch Propagation Using Patch Sparsity. IEEE TRANSACTIONS ON IMAGE PROCESSING, 19 (5): 1153-1165, MAY 2010 (SCI IDS number: 585HN)  PDF
  4. Xu ZongBen, Zhang Hai, Wang Yao, Chang XiangYu, Liang Yong. L (1/2) regularization. SCIENCE CHINA-INFORMATION SCIENCES, 53(6): 1159-1169, JUN 2010 (SCI: 602SL)  PDF
  5. Li Ruihu, Xu Zongben. Construction of [[n,n − 4,3]]q quantum codes for odd prime power q. PHYSICAL REVIEW A 82, 052316 (2010) (SCI: 680TF) PDF
  6. Qiao Chen, Xu Zongben. On the P-critical dynamics analysis of projection recurrent neural networks. NEUROCOMPUTING, 73(13-15), Sp. Iss. SI, 2783-2788, AUG 2010 (SCI: 647IQ).
  7. Cao Feilong, Lin Shaobo, Xu Zongben. Constructive approximate interpolation by neural networks in the metric space. MATHEMATICAL AND COMPUTER MODELLING 52(9-10), 1674-1681, NOV 2010 (SCI: 644DZ) PDF
  8. Wang Jianjun, Han Guodong, Xu Zongben. Derivatives of Bernstein Operators and Smoothness with Jacobi Weights. TAIWANESE JOURNAL OF MATHEMATICS, 14(4): 1491-1500, AUG 2010 (SCI: 635WC) PDF








  1. Bin Zou, Luoqing Li and Zongben Xu, The Generalization Performance of  ERM Algorithm with Strongly Mixing Observations, Machine Learning. 25(2): 188-2000, 2009 PDF
  2. Xu Zongben, Zhang Rui, Jing Wen-Feng. When Does Online BP Training Converge? IEEE TRANSACTIONS ON NEURAL NETWORKS,20(10) : 1529-1539,OCT 2009  (SCI: 508RE) PDF
  3. Chen Zhiping, Xu Zongben. Continuity and Stability of a Quadratic Mixed-Integer Stochastic Program. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION,30 (5-6): 462-477,2009 (SCI: 500VD) PDF
  4. Wang Wei, Xu Zongben. On a conjecture of He concerning the spectral reconstruction of matrices JOURNAL OF ALGEBRAIC COMBINATORICS ,30(3): 311-321, NOV 2009  (SCI:496FE) PDF
  5. Li Ruihu, Xu Zongben. Combinational construction of linear quantum codes from quaternary BCH codes. INTERNATIONAL JOURNAL OF QUANTUM INFORMATION, 7(5): 1039-1046, 2009 (SCI: 485LL) PDF
  6. Cao Feilong, Zhang Yongquan, Xu Zongben. Lower estimation of approximation rate for neural networks,SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 52( 8): 1321-1327, 2009 (SCI:481DX) PDF
  7. Xu Zongben, Dai Mingwei, Meng Deyu. Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 39(5): 1292-1307, 2009  (SCI :468ZY) PDF
  8. Wang Lisheng. Zhang Rui, Xu Zongben, et al. Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 39(3): 763-772, 2009 (SCI: 445RQ)