Generalized Theory and Some Specializations of the Region Contraction Algorithm I - Ball Operation. - Zhaoyong You; Zongben Xu; Kunkun Liu (Interval Mathematics, 1985)

A comparison of point and ball iterations in the contractive mapping case. - Zongben Xu; Xingzhong Shi (Computing, 1992)

Asymmetric Bidirectional Associative Memories. - Zong-Ben Xu; Yee Leung; Xiang-Wei He (IEEE Trans. Syst. Man Cybern. Syst., 1994)

The optimal ball algorithm for nonlinear equations of quasi-strongly monotone operators. - Zongben Xu; P. Xu; Xingzhong Shi (Int. J. Comput. Math., 1995)

Multiple-Valued Feedback and Recurrent Correlation Neural Networks. - Z.-Y. Chen; Chung-Ping Kwong; Zongben Xu (Neural Comput. Appl., 1995)

A competitive associative memory model and its dynamics. - Xiang-Wei He; Chung-Ping Kwong; Zongben Xu (IEEE Trans. Neural Networks, 1995)

The Heuristics for the Constrained Multicast Routing. - Zongben Xu; Bo-Ting Yang (ASIAN, 1996)

Asymmetric Hopfield-type networks: Theory and applications. - Zongben Xu; Guo-Qing Hu; Chung-Ping Kwong (Neural Networks, 1996)

A Decomposition Principle for Complexity Reduction of Artificial Neural Networks. - Zongben Xu; Chung-Ping Kwong (Neural Networks, 1996)

Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks. - Zongben Xu; Guo-Qing Hu; Chung-Ping Kwong (IEEE Trans. Neural Networks, 1996)

Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. - Yee Leung; Yong Gao; Zongben Xu (IEEE Trans. Neural Networks, 1997)

Neural networks for convex hull computation. - Yee Leung; Jiang-She Zhang 001; Zongben Xu (IEEE Trans. Neural Networks, 1997)

An approximate algorithm for computing multidimensional convex hulls. - Zong-Ben Xu; Jiang-She Zhang 001; Yiu-Wing Leung (Appl. Math. Comput., 1998)

The optimal encodings for biased association in linear associative memories. - Yee Leung; Tian-Xin Dong; Zongben Xu (Neural Networks, 1998)

A genetic algorithm for the multiple destination routing problems. - Yee Leung; Guo Li; Zongben Xu (IEEE Trans. Evol. Comput., 1998)

Optimal neural network algorithm for on-line string matching. - Yiu-Wing Leung; Jiang-She Zhang 001; Zongben Xu (IEEE Trans. Syst. Man Cybern. Part B, 1998)

Characterizations of minimal T3 L-fuzzy topological spaces. - Sheng-Gang Li; Zongben Xu (Inf. Sci., 2000)

Clustering by Scale-Space Filtering. - Yee Leung; Jiang-She Zhang 001; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

A new model of simulated evolutionary computation-convergence analysis and specifications. - Kwong-Sak Leung; Qihong Duan; Zongben Xu; C. K. Wong (IEEE Trans. Evol. Comput., 2001)

Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks. - Hong Qiao; Jigen Peng; Zongben Xu (IEEE Trans. Neural Networks, 2001)

A new data processing method based on a biological model of the compound eye: direction quantization representation. - Hong Qiao; Jiang-She Zhang 001; Zongben Xu (IEEE Trans. Syst. Man Cybern. Part A, 2001)

An automata network for performing combinatorial optimization. - Zongben Xu; Huidong Jin 001; Kwong-Sak Leung; Yee Leung; Chak-Kuen Wong (Neurocomputing, 2002)

The Algorithm on Knowledge Reduction in Incomplete Information Systems. - Jiye Liang; Zongben Xu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002)

Inclusion degree: a perspective on measures for rough set data analysis. - Zongben Xu; Jiye Liang; Chuangyin Dang; Kwai-Sang Chin (Inf. Sci., 2002)

A new approach to stability of neural networks with time-varying delays. - Jigen Peng; Hong Qiao; Zongben Xu (Neural Networks, 2002)

Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs. - Zongben Xu; Kwong-Sak Leung; Yong Liang 001; Yee Leung (Appl. Math. Comput., 2003)

Determination of the spread parameter in the Gaussian kernel for classification and regression. - Wenjian Wang; Zongben Xu; Weizhen Lu; Xiaoyun Zhang (Neurocomputing, 2003)

An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. - Huidong Jin 001; Kwong-Sak Leung; Man Leung Wong; Zongben Xu (IEEE Trans. Syst. Man Cybern. Part B, 2003)

A reference model approach to stability analysis of neural networks. - Hong Qiao; Jigen Peng; Zongben Xu; Bo Zhang 006 (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Approximation Bounds by Neural Networks in Lpomega. - Jianjun Wang 003; Zongben Xu; Weijun Xu (ISNN (1), 2004)

The essential order of approximation for neural networks. - Zongben Xu; Feilong Cao (Sci. China Ser. F Inf. Sci., 2004)

Strong fuzzy compact sets and ultra-fuzzy compact sets in L-topological spaces. - Sheng-Gang Li; Li-Li Zhang; Zongben Xu (Fuzzy Sets Syst., 2004)

Rough Set Models on Two universes. - Daowu Pei; Zongben Xu (Int. J. Gen. Syst., 2004)

An expanding self-organizing neural network for the traveling salesman problem. - Kwong-Sak Leung; Huidong Jin 001; Zongben Xu (Neurocomputing, 2004)

A heuristic training for support vector regression. - Wenjian Wang; Zongben Xu (Neurocomputing, 2004)

A comparative study of two modeling approaches in neural networks. - Zongben Xu; Hong Qiao; Jigen Peng; Bo Zhang 006 (Neural Networks, 2004)

A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization. - Rui Zhang 005; Zongben Xu (CIS (1), 2005)

Pointwise Approximation for Neural Networks. - Feilong Cao; Zongben Xu; Youmei Li (ISNN (1), 2005)

Generalization and Property Analysis of GENET. - Youmei Li; Zongben Xu; Feilong Cao (ISNN (1), 2005)

A New Approach for Classification: Visual Simulation Point of View. - Zongben Xu; Deyu Meng; Wenfeng Jing (ISNN (2), 2005)

Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory. - Yong-Chang Jiao; Yee Leung; Zongben Xu; Jiang-She Zhang 001 (Comput. Optim. Appl., 2005)

Variable Programming: A Generalized Minimax Problem. Part II: Algorithms. - Yong-Chang Jiao; Yee Leung; Zongben Xu; Jiang-She Zhang 001 (Comput. Optim. Appl., 2005)

Simultaneous Lp-approximation order for neural networks. - Zongben Xu; Fei-Long Cao (Neural Networks, 2005)

Scalable model-based cluster analysis using clustering features. - Huidong Jin 001; Kwong-Sak Leung; Man Leung Wong; Zongben Xu (Pattern Recognit., 2005)

A critical analysis on global convergence of Hopfield-type neural networks. - Jigen Peng; Zong-Ben Xu; Hong Qiao; Bo Zhang 006 (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units. - Chunmei Ding; Feilong Cao; Zongben Xu (ISNN (1), 2006)

A New Pre-processing Method for Regression. - Wenfeng Jing; Deyu Meng; Ming-Wei Dai; Zongben Xu (ISNN (2), 2006)

Integral Transform and Its Application to Neural Network Approximation. - Feng-Jun Li; Zongben Xu (ISNN (1), 2006)

An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network. - Jian Sun 009; Zongben Xu (ISNN (2), 2006)

Approximation Bound of Mixture Networks in Lomegap Spaces. - Zongben Xu; Jianjun Wang 003; Deyu Meng (ISNN (1), 2006)

The essential order of approximation for nearly exponential type neural networks. - Zongben Xu; Jianjun Wang 003 (Sci. China Ser. F Inf. Sci., 2006)

Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks. - Lisheng Wang; Zongben Xu (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

Immunity diversity based multi-agent intrusion detection. - Yu Gu 007; Jiashu Zhao; Dong Liang; Zongben Xu (IEEE Congress on Evolutionary Computation, 2007)

Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs. - Jian Sun 009; Jian Sun 001; Sing Bing Kang; Zongben Xu; Xiaoou Tang; Heung-Yeung Shum (CVPR, 2007)

Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding. - Yong Liang 001; Kwong-Sak Leung; Zongben Xu (ISNN (2), 2007)

New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings. - Chen Qiao; Zongben Xu (ISNN (3), 2007)

Constructive Trigonometric Function Approximation of Neural Networks. - Jianjun Wang 003; Zongben Xu; Jia Jing (SKG, 2007)

The essential order of simultaneous approximation for neural networks. - Feng-Jun Li; Zongben Xu (Appl. Math. Comput., 2007)

A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms. - Yong Liang 001; Kwong-Sak Leung; Zongben Xu (Appl. Math. Comput., 2007)

Transformation of rough set models. - Daowu Pei; Zongben Xu (Knowl. Based Syst., 2007)

On Characterizations of Exponential Stability of Nonlinear Discrete Dynamical Systems on Bounded Regions. - Lisheng Wang; Zongben Xu (IEEE Trans. Autom. Control., 2007)

Quantitative Characterizations of Exponential Convergence Property of Nonlinear Discrete Dynamical Systems. - Lisheng Wang; Zongben Xu; Qunfei Zhao (IEEE Trans. Autom. Control., 2007)

Image super-resolution using gradient profile prior. - Jian Sun 009; Zongben Xu; Heung-Yeung Shum (CVPR, 2008)

Data Mining Technologies Inspired from Visual Principle. - Zongben Xu (IIP, 2008)

An Improvement to Ant Colony Optimization Heuristic. - Youmei Li; Zongben Xu; Feilong Cao (ISNN (1), 2008)

Inequalities and solution of an operator equation. - Chuanxi Zhu; Zongben Xu (Appl. Math. Lett., 2008)

The estimate for approximation error of neural networks: A constructive approach. - Feilong Cao; Tingfan Xie; Zongben Xu (Neurocomputing, 2008)

The essential order of approximation for Suzuki's neural networks. - Feng-Jun Li; Zong-Ben Xu; Yue-Ting Zhou (Neurocomputing, 2008)

A comparative study for content-based dynamic spam classification using four machine learning algorithms. - Bo Yu; Zongben Xu (Knowl. Based Syst., 2008)

Latent semantic analysis for text categorization using neural network. - Bo Yu; Zongben Xu; Cheng-hua Li (Knowl. Based Syst., 2008)

Improving geodesic distance estimation based on locally linear assumption. - Deyu Meng; Yee Leung; Zongben Xu; Tung Fung; Qingfu Zhang 001 (Pattern Recognit. Lett., 2008)

Standard Forms of Stabilizer and Normalizer Matrices for Additive Quantum Codes. - Ruihu Li; Zongben Xu; Xueliang Li 001 (IEEE Trans. Inf. Theory, 2008)

On The Classification of Binary Optimal Self-Orthogonal Codes. - Ruihu Li; Zongben Xu; Xuejun Zhao (IEEE Trans. Inf. Theory, 2008)

Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold. - Deyu Meng; Yee Leung; Tung Fung; Zongben Xu (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Lower estimation of approximation rate for neural networks. - Feilong Cao; Yongquan Zhang; Zongben Xu (Sci. China Ser. F Inf. Sci., 2009)

On [[n,n-4,3]]q Quantum MDS Codes for odd prime power q - Ruihu Li; Zongben Xu (CoRR, 2009)

A critical global convergence analysis of recurrent neural networks with general projection mappings. - Chen Qiao; Zongben Xu (Neurocomputing, 2009)

Learning from uniformly ergodic Markov chains. - Bin Zou 002; Hai Zhang 001; Zongben Xu (J. Complex., 2009)

The generalization performance of ERM algorithm with strongly mixing observations. - Bin Zou 002; Luoqing Li; Zongben Xu (Mach. Learn., 2009)

When Does Online BP Training Converge? - Zongben Xu; Rui Zhang 005; Wenfeng Jing (IEEE Trans. Neural Networks, 2009)

Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks. - Lisheng Wang; Rui Zhang 005; Zongben Xu; Jigen Peng (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine. - Zongben Xu; Ming-Wei Dai; Deyu Meng (IEEE Trans. Syst. Man Cybern. Part B, 2009)

L1/2 regularization. - Zongben Xu; Hai Zhang 001; Yao Wang 003; Xiangyu Chang; Yong Liang 001 (Sci. China Inf. Sci., 2010)

Approximation capability of interpolation neural networks. - Feilong Cao; Shaobo Lin; Zongben Xu (Neurocomputing, 2010)

On the P-critical dynamics analysis of projection recurrent neural networks. - Chen Qiao; Zongben Xu (Neurocomputing, 2010)

Constructive approximate interpolation by neural networks in the metric space. - Feilong Cao; Shaobo Lin; Zongben Xu (Math. Comput. Model., 2010)

New study on neural networks: the essential order of approximation. - Jianjun Wang 003; Zongben Xu (Neural Networks, 2010)

Scale selection for anisotropic diffusion filter by Markov random field model. - Jian Sun 009; Zongben Xu (Pattern Recognit., 2010)

Image Inpainting by Patch Propagation Using Patch Sparsity. - Zongben Xu; Jian Sun 009 (IEEE Trans. Image Process., 2010)

Video Primal Sketch: A generic middle-level representation of video. - Zhi Han; Zongben Xu; Song-Chun Zhu (ICCV, 2011)

SAR imaging from compressed measurements based on L1/2 regularization. - Jinshan Zeng; Zongben Xu; Hai Jiang; Bingchen Zhang; Wen Hong; Yirong Wu (IGARSS, 2011)

Some results on the lexicographic product of vertex-transitive graphs. - Feng Li 057; Wei Wang; Zongben Xu; Haixing Zhao (Appl. Math. Lett., 2011)

Optimal rate of the regularized regression learning algorithm. - Yongquan Zhang; Feilong Cao; Zongben Xu (Int. J. Comput. Math., 2011)

A new quality assessment criterion for nonlinear dimensionality reduction. - Deyu Meng; Yee Leung; Zongben Xu (Neurocomputing, 2011)

Estimation of learning rate of least square algorithm via Jackson operator. - Yongquan Zhang; Feilong Cao; Zongben Xu (Neurocomputing, 2011)

Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. - Xiangyu Chang; Zongben Xu; Bin Zou 002; Hai Zhang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2011)

Incremental Alignment Manifold Learning. - Zhi Han; Deyu Meng; Zongben Xu; Nan-Nan Gu (J. Comput. Sci. Technol., 2011)

Neural networks and the best trigomometric approximation. - Jianjun Wang 003; Zongben Xu (J. Syst. Sci. Complex., 2011)

Essential rate for approximation by spherical neural networks. - Shaobo Lin; Feilong Cao; Zongben Xu (Neural Networks, 2011)

Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement. - Jian Sun 009; Jian Sun 001; Zongben Xu; Heung-Yeung Shum (IEEE Trans. Image Process., 2011)

SAR range ambiguity suppression via sparse regularization. - Jian Fang 001; Zongben Xu; Chenglong Jiang; Bingchen Zhang; Wen Hong (IGARSS, 2012)

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. - Hui Li 020; Xiaolei Su; Zongben Xu; Qingfu Zhang 001 (PPSN (2), 2012)

On the Average Distance and Wiener Index of Cartesian Product Networks. - Feng Li 057; Zongben Xu; Haixing Zhao (QLSC, 2012)

Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. - Cheng Liu; Yong Liang 001; Xin-Ze Luan; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (ICSI (2), 2012)

Regularization Path for Linear Model via Net Method. - Xin-Ze Luan; Yong Liang 001; Cheng Liu; Zongben Xu; Hai Zhang 001; Kwong-Sak Leung; Tak-Ming Chan (ICSI (2), 2012)

Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. - Bin Zou 002; Zongben Xu; Xiangyu Chang (Adv. Comput. Math., 2012)

Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method. - Jian Fang 001; Jinshan Zeng; Zongben Xu; Yao Zhao (Sci. China Inf. Sci., 2012)

Estimation of convergence rate for multi-regression learning algorithm. - Zongben Xu; Yongquan Zhang; Feilong Cao (Sci. China Inf. Sci., 2012)

Sparse SAR imaging based on L 1/2 regularization. - Jinshan Zeng; Jian Fang 001; Zongben Xu (Sci. China Inf. Sci., 2012)

The essential ability of sparse reconstruction of different compressive sensing strategies. - Hai Zhang 001; Yong Liang 001; HaiLiang Gou; Zongben Xu (Sci. China Inf. Sci., 2012)

A recursive divide-and-conquer approach for sparse principal component analysis. - Qian Zhao 002; Deyu Meng; Zongben Xu (CoRR, 2012)

Dictionary learning under global sparsity constraint - Deyu Meng; Yee Leung; Qian Zhao 002; Zongben Xu (CoRR, 2012)

Critical dynamics study on recurrent neural networks: Globally exponential stability. - Chen Qiao; Zongben Xu (Neurocomputing, 2012)

Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions. - Xiao-Guang Lv; Ting-Zhu Huang; Zongben Xu; Xi-Le Zhao (Inf. Sci., 2012)

A general radial quasi-interpolation operator on the sphere. - Shaobo Lin; Feilong Cao; Xiangyu Chang; Zongben Xu (J. Approx. Theory, 2012)

Improve robustness of sparse PCA by L1-norm maximization. - Deyu Meng; Qian Zhao 002; Zongben Xu (Pattern Recognit., 2012)

L1/2 Regularization: A Thresholding Representation Theory and a Fast Solver. - Zongben Xu; Xiangyu Chang; Fengmin Xu; Hai Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes. - Rui Zhang 005; Yuan Lan; Guang-Bin Huang; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2012)

Global Convergence of Online BP Training With Dynamic Learning Rate. - Rui Zhang 005; Zongben Xu; Guang-Bin Huang; Dianhui Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries. - Deyu Meng; Zongben Xu; Lei Zhang 006; Ji Zhao 001 (AAAI, 2013)

Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. - Yu Wang 075; Xiangyu Chang; Rongjian Li; Zongben Xu (ICDM, 2013)

Approximation by neural networks with scattered data. - Shaobo Lin; Xiaofei Guo; Feilong Cao; Zongben Xu (Appl. Math. Comput., 2013)

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. - Yong Liang 001; Cheng Liu; Xin-Ze Luan; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (BMC Bioinform., 2013)

Image restoration with shifting reflective boundary conditions. - Jie Huang 005; Ting-Zhu Huang; Xi-Le Zhao; Zongben Xu (Sci. China Inf. Sci., 2013)

The learning performance of support vector machine classification based on Markov sampling. - Bin Zou 002; Zhiming Peng; Zongben Xu (Sci. China Inf. Sci., 2013)

Compressed Sensing SAR Imaging with Multilook Processing. - Jian Fang 001; Zongben Xu; Bingchen Zhang; Wen Hong; Yirong Wu (CoRR, 2013)

Learning rates of lq coefficient regularization learning with Gaussian kernel. - Shaobo Lin; Jinshan Zeng; Jian Fang 001; Zongben Xu (CoRR, 2013)

Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm. - Deyu Meng; Hengbin Cui; Zongben Xu; Kaili Jing (Data Knowl. Eng., 2013)

On recovery of block-sparse signals via mixed l2/lq (0 < q ≤ 1) norm minimization. - Yao Wang 003; Jianjun Wang 003; Zongben Xu (EURASIP J. Adv. Signal Process., 2013)

Proportion-based robust optimization and team orienteering problem with interval data. - Liangjun Ke; Zongben Xu; Zuren Feng; Ke Shang; Xueming Qian (Eur. J. Oper. Res., 2013)

Learning dictionary from signals under global sparsity constraint. - Deyu Meng; Qian Zhao 002; Yee Leung; Zongben Xu (Neurocomputing, 2013)

The UPPAM continuous-time RNN model and its critical dynamics study. - Chen Qiao; Wenfeng Jing; Zongben Xu (Neurocomputing, 2013)

Poisson image fusion based on Markov random field fusion model. - Jian Sun 009; Hongyan Zhu; Zongben Xu; Chongzhao Han (Inf. Fusion, 2013)

The strong convergence of visual classification method and its applications. - Deyu Meng; Yee Leung; Zongben Xu (Inf. Sci., 2013)

Fast image deconvolution using closed-form thresholding formulas of regularization. - Wenfei Cao; Jian Sun 009; Zongben Xu (J. Vis. Commun. Image Represent., 2013)

Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds. - Deyu Meng; Yee Leung; Zongben Xu (Pattern Recognit., 2013)

A heuristic hierarchical clustering based on multiple similarity measurements. - Chun-Zhong Li; Zongben Xu; Tao Luo 006 (Pattern Recognit. Lett., 2013)

Hermitian dual containing BCH codes and construction of new quantum codes. - Ruihu Li; Fei Zuo; Yang Liu 035; Zongben Xu (Quantum Inf. Comput., 2013)

Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills. - Jinshan Zeng; Zongben Xu; Bingchen Zhang; Wen Hong; Yirong Wu (Signal Process., 2013)

Dynamic Extreme Learning Machine and Its Approximation Capability. - Rui Zhang 005; Yuan Lan; Guang-Bin Huang; Zongben Xu; Yeng Chai Soh (IEEE Trans. Cybern., 2013)

Detecting Intrinsic Loops Underlying Data Manifold. - Deyu Meng; Yee Leung; Zongben Xu (IEEE Trans. Knowl. Data Eng., 2013)

Learning Capability of Relaxed Greedy Algorithms. - Shaobo Lin; Yuanhua Rong; Xingping Sun; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2013)

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. - Bin Zou 002; Luoqing Li; Zongben Xu; Tao Luo 006; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2013)

Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation. - Feng Li 057; Zongben Xu; Shihua Zhu (IEEE Trans. Veh. Technol., 2013)

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising. - Yi Peng; Deyu Meng; Zongben Xu; Chenqiang Gao; Yi Yang 001; Biao Zhang 005 (CVPR, 2014)

Robust Principal Component Analysis with Complex Noise. - Qian Zhao 002; Deyu Meng; Zongben Xu; Wangmeng Zuo; Lei Zhang 006 (ICML, 2014)

The L1/2 regularization method for variable selection in the Cox model. - Cheng Liu; Yong Liang 001; Xin-Ze Luan; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (Appl. Soft Comput., 2014)

Hierarchical clustering driven by cognitive features. - Chun-Zhong Li; Zongben Xu; Chen Qiao; Tao Luo 006 (Sci. China Inf. Sci., 2014)

The number of spanning trees in a new lexicographic product of graphs. - Dong Liang; Feng Li 057; Zongben Xu (Sci. China Inf. Sci., 2014)

Robust sparse principal component analysis. - Qian Zhao 002; Deyu Meng; Zongben Xu (Sci. China Inf. Sci., 2014)

Sparse K-Means with ℓ∞/ℓ0 Penalty for High-Dimensional Data Clustering. - Xiangyu Chang; Yu Wang 075; Rongjian Li; Zongben Xu (CoRR, 2014)

Learning and approximation capability of orthogonal super greedy algorithm. - Jian Fang 001; Shaobo Lin; Zongben Xu (CoRR, 2014)

On the Optimal Solution of Weighted Nuclear Norm Minimization. - Qi Xie; Deyu Meng; Shuhang Gu; Lei Zhang 006; Wangmeng Zuo; Xiangchu Feng; Zongben Xu (CoRR, 2014)

Greedy metrics in orthogonal greedy learning. - Lin Xu 001; Shaobo Lin; Jinshan Zeng; Zongben Xu (CoRR, 2014)

Categorization Axioms for Classification and Clustering. - Jian Yu; Zongben Xu (CoRR, 2014)

Two soft-thresholding based iterative algorithms for image deblurring. - Jie Huang 005; Ting-Zhu Huang; Xi-Le Zhao; Zongben Xu; Xiao-Guang Lv (Inf. Sci., 2014)

An active contour model and its algorithms with local and global Gaussian distribution fitting energies. - Hui Wang; Ting-Zhu Huang; Zongben Xu; Yilun Wang (Inf. Sci., 2014)

Almost optimal estimates for approximation and learning by radial basis function networks. - Shaobo Lin; Xia Liu; Yuanhua Rong; Zongben Xu (Mach. Learn., 2014)

Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel. - Shaobo Lin; Jinshan Zeng; Jian Fang 001; Zongben Xu (Neural Comput., 2014)

Generalization performance of Gaussian kernels SVMC based on Markov sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (Neural Networks, 2014)

Entanglement-assisted quantum codes achieving the quantum singleton bound but violating the quantum hamming bound. - Ruihu Li; Luobin Guo; Zongben Xu (Quantum Inf. Comput., 2014)

Restricted p-isometry properties of nonconvex block-sparse compressed sensing. - Yao Wang 003; Jianjun Wang 003; Zongben Xu (Signal Process., 2014)

Sparse solution of underdetermined linear equations via adaptively iterative thresholding. - Jinshan Zeng; Shaobo Lin; Zongben Xu (Signal Process., 2014)

A novel L1/2 regularization shooting method for Cox's proportional hazards model. - Xin-Ze Luan; Yong Liang 001; Cheng Liu; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (Soft Comput., 2014)

Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks. - Feng Li 057; Zongben Xu (IEEE Signal Process. Lett., 2014)

Fast Compressed Sensing SAR Imaging Based on Approximated Observation. - Jian Fang 001; Zongben Xu; Bingchen Zhang; Wen Hong; Yirong Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Quantitative Studies on Asymptotic Growth Behaviors of Trajectories of Nonlinear Discrete Dynamical Systems. - Lisheng Wang; Zongben Xu (IEEE Trans. Autom. Control., 2014)

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. - Bin Zou 002; Yuan Yan Tang; Zongben Xu; Luoqing Li; Jie Xu 006; Yang Lu 009 (IEEE Trans. Cybern., 2014)

Spatial and Spectral Image Fusion Using Sparse Matrix Factorization. - Bo Huang 001; Huihui Song; Hengbin Cui; Jigen Peng; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2014)

Enhancing Low-Rank Subspace Clustering by Manifold Regularization. - Junmin Liu; Yijun Chen; Jiang-She Zhang 001; Zongben Xu (IEEE Trans. Image Process., 2014)

L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm. - Jinshan Zeng; Shaobo Lin; Yao Wang 003; Zongben Xu (IEEE Trans. Signal Process., 2014)

Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image. - Lisheng Wang; Pai Wang 002; Liuhang Cheng; Yu Ma; Shenzhi Wu; Yu-Ping Wang 002; Zongben Xu (IEEE Trans. Vis. Comput. Graph., 2014)

Self-Paced Learning for Matrix Factorization. - Qian Zhao 002; Deyu Meng; Lu Jiang 004; Qi Xie; Zongben Xu; Alexander G. Hauptmann (AAAI, 2015)

Learning a convolutional neural network for non-uniform motion blur removal. - Jian Sun 009; Wenfei Cao; Zongben Xu; Jean Ponce (CVPR, 2015)

Low-Rank Matrix Factorization under General Mixture Noise Distributions. - Xiangyong Cao; Yang Chen 057; Qian Zhao 002; Deyu Meng; Yao Wang 003; Dong Wang; Zongben Xu (ICCV, 2015)

A Novel Sparsity Measure for Tensor Recovery. - Qian Zhao 002; Deyu Meng; Xu Kong; Qi Xie; Wenfei Cao; Yao Wang 003; Zongben Xu (ICCV, 2015)

Robust low-rank tensor factorization by cyclic weighted median. - Deyu Meng; Biao Zhang 005; Zongben Xu; Lei Zhang 006; Chenqiang Gao (Sci. China Inf. Sci., 2015)

New Trends of Learning in Computational Intelligence [Guest Editorial]. - Guang-Bin Huang; Erik Cambria; Kar-Ann Toh; Bernard Widrow; Zongben Xu (IEEE Comput. Intell. Mag., 2015)

New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]. - Guang-Bin Huang; Erik Cambria; Kar-Ann Toh; Bernard Widrow; Zongben Xu (IEEE Comput. Intell. Mag., 2015)

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. - Wenfei Cao; Yao Wang 003; Jian Sun 009; Deyu Meng; Can Yang 002; Andrzej Cichocki; Zongben Xu (CoRR, 2015)

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition. - Huibin Li; Jian Sun 009; Dong Wang; Zongben Xu; Liming Chen 002 (CoRR, 2015)

Shrinkage degree in L2-re-scale boosting for regression. - Lin Xu 001; Shaobo Lin; Yao Wang 003; Zongben Xu (CoRR, 2015)

Folded-concave penalization approaches to tensor completion. - Wenfei Cao; Yao Wang 003; Can Yang 002; Xiangyu Chang; Zhi Han; Zongben Xu (Neurocomputing, 2015)

A block coordinate descent approach for sparse principal component analysis. - Qian Zhao 002; Deyu Meng; Zongben Xu; Chenqiang Gao (Neurocomputing, 2015)

On parallel multisplitting block iterative methods for linear systems arising in the numerical solution of Euler equations. - Cheng-Yi Zhang; Shuanghua Luo; Zongben Xu (J. Comput. Appl. Math., 2015)

Video Primal Sketch: A Unified Middle-Level Representation for Video. - Zhi Han; Zongben Xu; Song-Chun Zhu (J. Math. Imaging Vis., 2015)

Jackson-type inequalities for spherical neural networks with doubling weights. - Shaobo Lin; Jinshan Zeng; Lin Xu 001; Zongben Xu (Neural Networks, 2015)

Error Estimate for Spherical Neural Networks Interpolation. - Shaobo Lin; Jinshan Zeng; Zongben Xu (Neural Process. Lett., 2015)

The Generalization Ability of SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009; Baochang Zhang 001 (IEEE Trans. Cybern., 2015)

Color Image Denoising via Discriminatively Learned Iterative Shrinkage. - Jian Sun 009; Jian Sun 001; Zongben Xu (IEEE Trans. Image Process., 2015)

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). - Shaobo Lin; Xia Liu; Jian Fang 001; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I). - Xia Liu; Shaobo Lin; Jian Fang 001; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2015)

The Generalization Ability of Online SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (IEEE Trans. Neural Networks Learn. Syst., 2015)

L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method. - Qian Zhao 002; Deyu Meng; Zongben Xu; Wangmeng Zuo; Yan Yan 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing. - Yu Wang 075; Jinshan Zeng; Zhimin Peng; Xiangyu Chang; Zongben Xu (IEEE Trans. Signal Process., 2015)

A multi-phase multiobjective approach based on decomposition for sparse reconstruction. - Hui Li 020; Yuanyuan Fan; Qingfu Zhang 001; Zongben Xu; Jingda Deng (CEC, 2016)

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. - Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu; Shuhang Gu; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2016)

Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images. - Heran Yang; Jian Sun 009; Huibin Li; Lisheng Wang; Zongben Xu (MICCAI (2), 2016)

Deep ADMM-Net for Compressive Sensing MRI. - Yan Yang 007; Jian Sun 001; Huibin Li; Zongben Xu (NIPS, 2016)

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. - Jian Fang 001; Dongdong Lin; S. Charles Schulz; Zongben Xu; Vince D. Calhoun; Yu-Ping Wang 002 (Bioinform., 2016)

Learning capability of the truncated greedy algorithm. - Lin Xu 001; Shaobo Lin; Zongben Xu (Sci. China Inf. Sci., 2016)

Low-rank Matrix Factorization under General Mixture Noise Distributions. - Xiangyong Cao; Qian Zhao 002; Deyu Meng; Yang Chen 057; Zongben Xu (CoRR, 2016)

Greedy Criterion in Orthogonal Greedy Learning. - Lin Xu 001; Shaobo Lin; Jinshan Zeng; Xia Liu; Zongben Xu (CoRR, 2016)

Block-sparse compressed sensing with partially known signal support via non-convex minimisation. - Shiying He; Yao Wang 003; Jianjun Wang 003; Zongben Xu (IET Signal Process., 2016)

Learning and approximation capabilities of orthogonal super greedy algorithm. - Jian Fang 001; Shaobo Lin; Zongben Xu (Knowl. Based Syst., 2016)

Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. - Zhihai Yang; Lin Xu 001; Zhongmin Cai; Zongben Xu (Knowl. Based Syst., 2016)

An efficient optimization approach for a cardinality-constrained index tracking problem. - Fengmin Xu; Zhaosong Lu; Zongben Xu (Optim. Methods Softw., 2016)

Learning With ℓ1-Regularizer Based on Markov Resampling. - Tieliang Gong; Bin Zou 002; Zongben Xu (IEEE Trans. Cybern., 2016)

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. - Wenfei Cao; Yao Wang 003; Jian Sun 009; Deyu Meng; Can Yang 002; Andrzej Cichocki; Zongben Xu (IEEE Trans. Image Process., 2016)

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. - Xiangyong Cao; Qian Zhao 002; Deyu Meng; Yang Chen 057; Zongben Xu (IEEE Trans. Image Process., 2016)

Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm. - Jinshan Zeng; Shaobo Lin; Zongben Xu (IEEE Trans. Signal Process., 2016)

Should We Encode Rain Streaks in Video as Deterministic or Stochastic? - Wei Wei 006; Lixuan Yi; Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu (ICCV, 2017)

Polsar image classification based on three-dimensional wavelet texture features and Markov random field. - Haixia Bi; Lin Xu 001; Xiangyong Cao; Zongben Xu (IGARSS, 2017)

IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies. - Mingwei Dai; Jingsi Ming; Mingxuan Cai; Jin Liu 011; Can Yang 002; Xiang Wan; Zongben Xu (Bioinform., 2017)

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network. - Xiangyong Cao; Feng Zhou 001; Lin Xu 001; Deyu Meng; Zongben Xu; John W. Paisley (CoRR, 2017)

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning. - Kaidong Wang; Yao Wang 003; Qian Zhao 002; Deyu Meng; Zongben Xu (CoRR, 2017)

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI. - Yan Yang 007; Jian Sun 009; Huibin Li; Zongben Xu (CoRR, 2017)

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. - Xiangyong Cao; Lin Xu 001; Deyu Meng; Qian Zhao 002; Zongben Xu (Neurocomputing, 2017)

Generalization Analysis of Fredholm Kernel Regularized Classifiers. - Tieliang Gong; Zongben Xu; Hong Chen 004 (Neural Comput., 2017)

Unsupervised PolSAR Image Classification Using Discriminative Clustering. - Haixia Bi; Jian Sun 009; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2017)

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism. - Qi Xie; Dong Zeng; Qian Zhao 002; Deyu Meng; Zongben Xu; Zhengrong Liang; Jianhua Ma 001 (IEEE Trans. Medical Imaging, 2017)

Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization. - Dong Zeng; Qi Xie; Wenfei Cao; Jiahui Lin; Hao Zhang 026; Shanli Zhang; Jing Huang 018; Zhaoying Bian; Deyu Meng; Zongben Xu; Zhengrong Liang; Wufan Chen; et al. (IEEE Trans. Medical Imaging, 2017)

Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network. - Huibin Li; Jian Sun 009; Zongben Xu; Liming Chen 002 (IEEE Trans. Multim., 2017)

Graph PCA Hashing for Similarity Search. - Xiaofeng Zhu 001; Xuelong Li 001; Shichao Zhang 001; Zongben Xu; Litao Yu; Can Wang 004 (IEEE Trans. Multim., 2017)

Shrinkage Degree in L2-Rescale Boosting for Regression. - Lin Xu 001; Shaobo Lin; Yao Wang 003; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design. - Shouren Lan; Lisheng Wang; Yipeng Song; Yu-Ping Wang 002; Liping Yao; Kun Sun; Bin Xia; Zongben Xu (IEEE Trans. Vis. Comput. Graph., 2017)

Margin Based PU Learning. - Tieliang Gong; Guangtao Wang; Jieping Ye; Zongben Xu; Ming Lin (AAAI, 2018)

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. - Heran Yang; Jian Sun 009; Aaron Carass; Can Zhao 001; Junghoon Lee; Zongben Xu; Jerry L. Prince (DLMIA/ML-CDS@MICCAI, 2018)

Convergence of multi-block Bregman ADMM for nonconvex composite problems. - Fenghui Wang; Wenfei Cao; Zongben Xu (Sci. China Inf. Sci., 2018)

Semi-supervised CNN for Single Image Rain Removal. - Wei Wei 006; Deyu Meng; Qian Zhao 002; Zongben Xu (CoRR, 2018)

Small Sample Learning in Big Data Era. - Jun Shu; Zongben Xu; Deyu Meng (CoRR, 2018)

Diverse lesion detection from retinal images by subspace learning over normal samples. - Benzhi Chen; Lisheng Wang; Jian Sun 009; Huai Chen; Yinghua Fu; Shouren Lan; Yijie Huang; Zongben Xu (Neurocomputing, 2018)

Robust subspace clustering via penalized mixture of Gaussians. - Jing Yao 002; Xiangyong Cao; Qian Zhao 002; Deyu Meng; Zongben Xu (Neurocomputing, 2018)

Neural multi-atlas label fusion: Application to cardiac MR images. - Heran Yang; Jian Sun 009; Huibin Li; Lisheng Wang; Zongben Xu (Medical Image Anal., 2018)

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery. - Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure. - Yang Chen 057; Xiangyong Cao; Qian Zhao 002; Deyu Meng; Zongben Xu (IEEE Trans. Cybern., 2018)

Greedy Criterion in Orthogonal Greedy Learning. - Lin Xu 001; Shaobo Lin; Jinshan Zeng; Xia Liu; Yi Fang 006; Zongben Xu (IEEE Trans. Cybern., 2018)

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. - Xiangyong Cao; Feng Zhou 001; Lin Xu 001; Deyu Meng; Zongben Xu; John W. Paisley (IEEE Trans. Image Process., 2018)

A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. - Hui Li 020; Qingfu Zhang 001; Jingda Deng; Zong-Ben Xu (IEEE Trans. Neural Networks Learn. Syst., 2018)

HyperAdam: A Learnable Task-Adaptive Adam for Network Training. - Shipeng Wang 002; Jian Sun 009; Zongben Xu (AAAI, 2019)

Semi-Supervised Transfer Learning for Image Rain Removal. - Wei Wei 006; Deyu Meng; Qian Zhao 002; Zongben Xu; Ying Wu (CVPR, 2019)

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. - Qi Xie; Minghao Zhou; Qian Zhao 002; Deyu Meng; Wangmeng Zuo; Zongben Xu (CVPR, 2019)

Robust CSI Estimation Under Complex Communication Environment. - Haipei Zhang; Jiang Xue 001; Deyu Meng; Qian Zhao 002; Zongben Xu (ICC, 2019)

Unsupervised PolSAR Image Factorization with Deep Convolutional Networks. - Haixia Bi; Feng Xu 001; Zhiqiang Wei 004; Yibo Han; Yuanlong Cui; Yong Xue; Zongben Xu (IGARSS, 2019)

An Active Deep Learning Approach for Minimally-Supervised Polsar Image Classification. - Haixia Bi; Feng Xu 001; Zhiqiang Wei 004; Yibo Han; Yuanlong Cui; Yong Xue; Zongben Xu (IGARSS, 2019)

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging. - Nan Meng; Yan Yang 007; Zongben Xu; Jian Sun 009 (MICCAI (4), 2019)

Neural Diffusion Distance for Image Segmentation. - Jian Sun 009; Zongben Xu (NeurIPS, 2019)

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. - Jun Shu; Qi Xie; Lixuan Yi; Qian Zhao 002; Sanping Zhou; Zongben Xu; Deyu Meng (NeurIPS, 2019)

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. - Mingwei Dai; Xiang Wan; Hao Peng; Yao Wang 003; Yue Liu; Jin Liu 011; Zongben Xu; Can Yang 002 (Bioinform., 2019)

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. - Jun Shu; Qi Xie; Lixuan Yi; Qian Zhao 002; Sanping Zhou; Zongben Xu; Deyu Meng (CoRR, 2019)

Variational Bayes' method for functions with applications to some inverse problems. - Junxiong Jia; Qian Zhao 002; Zongben Xu; Deyu Meng (CoRR, 2019)

Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. - Xiangyong Cao; Zongben Xu; Deyu Meng (Remote. Sens., 2019)

A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification. - Haixia Bi; Jian Sun 009; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2019)

An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification. - Haixia Bi; Feng Xu 001; Zhiqiang Wei 004; Yong Xue; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2019)

An Optimized Deep Network Representation of Multimutation Differential Evolution and its Application in Seismic Inversion. - Zhaoqi Gao; Zhibin Pan; Chen Zuo; Jinghuai Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2019)

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing. - Jing Yao 002; Deyu Meng; Qian Zhao 002; Wenfei Cao; Zongben Xu (IEEE Trans. Image Process., 2019)

Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction. - Ji He; Yan Yang 007; Yongbo Wang; Dong Zeng; Zhaoying Bian; Hao Zhang 026; Jian Sun 009; Zongben Xu; Jianhua Ma 001 (IEEE Trans. Medical Imaging, 2019)

An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization. - Sui Li; Dong Zeng; Jiangjun Peng; Zhaoying Bian; Hao Zhang 026; Qi Xie; Yongbo Wang; Yuting Liao; Shanli Zhang; Jing Huang 018; Deyu Meng; Zongben Xu; et al. (IEEE Trans. Medical Imaging, 2019)

Model-Driven Deep Learning for Physical Layer Communications. - Hengtao He; Shi Jin 002; Chao-Kai Wen; Feifei Gao; Geoffrey Ye Li; Zongben Xu (IEEE Wirel. Commun., 2019)

Adaptive Structural Hyper-Parameter Configuration by Q-Learning. - Haotian Zhang; Jianyong Sun; Zongben Xu (CEC, 2020)

Spherical Space Domain Adaptation With Robust Pseudo-Label Loss. - Xiang Gu 005; Jian Sun 009; Zongben Xu (CVPR, 2020)

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. - Jing Yao 002; Danfeng Hong; Jocelyn Chanussot; Deyu Meng; Xiaoxiang Zhu 001; Zongben Xu (ECCV (29), 2020)

MEP-Based Channel Estimation under Complex Communication Environment. - Zhengyang Hu 001; Jiang Xue 001; Deyu Meng; Qian Zhao 002; Zongben Xu (ICC, 2020)

Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image. - Yan Yang 007; Na Wang; Heran Yang; Jian Sun 009; Zongben Xu (MICCAI (2), 2020)

On Presuppositions of Machine Learning: A Meta Theory. - Zongben Xu (SIGIR, 2020)

Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising. - Qi Xie; Qian Zhao 002; Zongben Xu; Deyu Meng (Sci. China Inf. Sci., 2020)

Learning Adaptive Loss for Robust Learning with Noisy Labels. - Jun Shu; Qian Zhao 002; Keyu Chen; Zongben Xu; Deyu Meng (CoRR, 2020)

Learning to be Global Optimizer. - Haotian Zhang; Jianyong Sun; Zongben Xu (CoRR, 2020)

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. - Jun Shu; Qian Zhao 002; Zongben Xu; Deyu Meng (CoRR, 2020)

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. - Jun Shu; Yanwen Zhu; Qian Zhao 002; Deyu Meng; Zongben Xu (CoRR, 2020)

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. - Ziyi Yang; Jun Shu; Yong Liang 001; Deyu Meng; Zongben Xu (CoRR, 2020)

Amortized Variational Deep Q Network. - Haotian Zhang; Yuhao Wang 006; Jianyong Sun; Zongben Xu (CoRR, 2020)

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. - Yan Yang 007; Jian Sun 009; Huibin Li; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Abnormality detection in retinal image by individualized background learning. - Benzhi Chen; Lisheng Wang; Xiuying Wang 001; Jian Sun 009; Yijie Huang; Dagan Feng 001; Zongben Xu (Pattern Recognit., 2020)

Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling. - Tian-Hui Ma; Zongben Xu; Deyu Meng (Remote. Sens., 2020)

Improved Low-Rank Filtering of MR Spectroscopic Imaging Data With Pre-Learnt Subspace and Spatial Constraints. - Yang Chen 057; Yudu Li; Zongben Xu (IEEE Trans. Biomed. Eng., 2020)

Learning Through Deterministic Assignment of Hidden Parameters. - Jian Fang 001; Shaobo Lin; Zongben Xu (IEEE Trans. Cybern., 2020)

Hyperspectral Image Classification With Convolutional Neural Network and Active Learning. - Xiangyong Cao; Jing Yao 002; Zongben Xu; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2020)

Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing. - Kaidong Wang; Yao Wang 003; Xi-Le Zhao; Jonathan Cheung-Wai Chan; Zongben Xu; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2020)

Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field. - Haixia Bi; Lin Xu 001; Xiangyong Cao; Yong Xue; Zongben Xu (IEEE Trans. Image Process., 2020)

Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN. - Heran Yang; Jian Sun 009; Aaron Carass; Can Zhao 001; Junghoon Lee; Jerry L. Prince; Zongben Xu (IEEE Trans. Medical Imaging, 2020)

Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction. - Dong Zeng; Lisha Yao; Yongshuai Ge; Sui Li; Qi Xie; Hao Zhang 026; Zhaoying Bian; Qian Zhao 002; Yuanqing Li 001; Zongben Xu; Deyu Meng; Jianhua Ma 001 (IEEE Trans. Medical Imaging, 2020)

Learning to Search for MIMO Detection. - Jianyong Sun; Yiqing Zhang 001; Jiang Xue 001; Zongben Xu (IEEE Trans. Wirel. Commun., 2020)

Learning to Mutate for Differential Evolution. - Haotian Zhang; Jianyong Sun; Zongben Xu (CEC, 2021)

Training Networks in Null Space of Feature Covariance for Continual Learning. - Shipeng Wang 002; Xiaorong Li; Jian Sun 009; Zongben Xu (CVPR, 2021)

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation. - Heran Yang; Jian Sun 009; Liwei Yang; Zongben Xu (MICCAI (3), 2021)

Adversarial Reweighting for Partial Domain Adaptation. - Xiang Gu 005; Xi Yu; Yan Yang 007; Jian Sun 009; Zongben Xu (NeurIPS, 2021)

Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks. - Jun Shu; Deyu Meng; Zongben Xu (CoRR, 2021)

A distribution independence based method for 3D face shape decomposition. - Cuican Yu; Zihui Zhang; Huibin Li; Jian Sun 009; Zongben Xu (Comput. Vis. Image Underst., 2021)

Robust online rain removal for surveillance videos with dynamic rains. - Lixuan Yi; Qian Zhao 002; Wei Wei 006; Zongben Xu (Knowl. Based Syst., 2021)

OMMDE-Net: A Deep Learning-Based Global Optimization Method for Seismic Inversion. - Zhaoqi Gao; Chuang Li 003; Tao Yang; Zhibin Pan; Jinghuai Gao; Zongben Xu (IEEE Geosci. Remote. Sens. Lett., 2021)

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study. - Chen Qiao; Lan Yang 010; Vince D. Calhoun; Zong-Ben Xu; Yu-Ping Wang 002 (Neural Networks, 2021)

Variational Bayes' Method for Functions with Applications to Some Inverse Problems. - Junxiong Jia; Qian Zhao 002; Zongben Xu; Deyu Meng; Yee Leung (SIAM J. Sci. Comput., 2021)

Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling. - Tian-Hui Ma; Zongben Xu; Deyu Meng; Xi-Le Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. - Kaidong Wang; Yao Wang 003; Qian Zhao 002; Deyu Meng; Xiuwu Liao; Zongben Xu (IEEE Trans. Cybern., 2021)

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient. - Jianyong Sun; Xin Liu 078; Thomas Bäck; Zongben Xu (IEEE Trans. Evol. Comput., 2021)

Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction. - Zhaoqi Gao; Chuang Li 003; Naihao Liu; Zhibin Pan; Jinghuai Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2021)

Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation. - Danfeng Hong; Jing Yao 002; Deyu Meng; Zongben Xu; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. - Jiahong Fu; Hong Wang 021; Qi Xie; Qian Zhao 002; Deyu Meng; Zongben Xu (ECCV (19), 2022)

Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. - Haotian Zhang; Jialong Shi; Jianyong Sun; Zongben Xu (GECCO Companion, 2022)

SalientVR: saliency-driven mobile 360-degree video streaming with gaze information. - Shibo Wang 002; Shusen Yang; Hailiang Li; Xiaodan Zhang; Chen Zhou; Chenren Xu; Feng Qian 001; Nanbin Wang; Zongben Xu (MobiCom, 2022)

Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation. - Xiang Gu 005; Yucheng Yang 004; Wei Zeng; Jian Sun 009; Zongben Xu (NeurIPS, 2022)

LDP-IDS: Local Differential Privacy for Infinite Data Streams. - Xuebin Ren; Liang Shi; Weiren Yu; Shusen Yang; Cong Zhao 001; Zongben Xu (SIGMOD Conference, 2022)

Unified Mathematical Framework for Intelligent Transceiver Design. - Feng Li 057; Gang Dai; Heng Du; Yiqing Zhang 001; Zhengyang Hu 001; Guanzhang Liu; Runhua Li; Jiang Xue 001; Zongben Xu (VTC Fall, 2022)

On the uniqueness of virtual substrate for metasurface in a dielectric half-space. - Xiaobo Liu; Wei Xue; Xiaoming Chen 002; Anxue Zhang; Qiang Cheng 002; Zongben Xu (Sci. China Inf. Sci., 2022)

Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization. - Xiaohui Yang; Zheng Wang; Jian Sun 009; Zongben Xu (Sci. China Inf. Sci., 2022)

Dynamic Neural Network for MIMO Detection. - Yuwen Yang; Feifei Gao; Mingjin Wang; Jiang Xue 001; Zongben Xu (IEEE J. Sel. Areas Commun., 2022)

Deep alternating non-negative matrix factorisation. - Jianyong Sun; Qingming Kong; Zongben Xu (Knowl. Based Syst., 2022)

Variational HyperAdam: A Meta-Learning Approach to Network Training. - Shipeng Wang 002; Yan Yang 007; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion. - Qi Xie; Minghao Zhou; Qian Zhao 002; Zongben Xu; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Graph Neural Network Encoding for Community Detection in Attribute Networks. - Jianyong Sun; Wei Zheng 004; Qingfu Zhang 001; Zongben Xu (IEEE Trans. Cybern., 2022)

PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening. - Xiangyong Cao; Xueyang Fu; Danfeng Hong; Zongben Xu; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2022)

A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution. - Zhaoqi Gao; Sichao Hu; Chuang Li 003; Hongling Chen; Xiudi Jiang; Zhibin Pan; Jinghuai Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion. - Zhaoqi Gao; Wei Yang; Chuang Li 003; Feipeng Li; Qingzhen Wang; Jicai Ding; Jinghuai Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Quantum-Enhanced Deep Learning-Based Lithology Interpretation From Well Logs. - Naihao Liu; Teng Huang; Jinghuai Gao; Zongben Xu; Daxing Wang; Fangyu Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode Decomposition. - Naihao Liu; Fangyu Li; Dehua Wang; Jinghuai Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Simultaneous Inversion for Reflectivity and Q Using Nonstationary Seismic Data With Deep-Learning-Based Decoupling. - Linan Xu; Zhaoqi Gao; Sichao Hu; Jinghuai Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification. - Jing Yao 002; Xiangyong Cao; Danfeng Hong; Xin Wu 001; Deyu Meng; Jocelyn Chanussot; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. - Jing Yao 002; Danfeng Hong; Lin Xu 001; Deyu Meng; Jocelyn Chanussot; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach. - Xunmeng Wu; Zai Yang; Petre Stoica; Zongben Xu (IEEE Trans. Signal Process., 2022)

Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection. - Yiqing Zhang 001; Jianyong Sun; Jiang Xue 001; Geoffrey Ye Li; Zongben Xu (IEEE Trans. Signal Process., 2022)

Robust Online CSI Estimation in a Complex Environment. - Heng Du; Yun Deng; Jiang Xue 001; Deyu Meng; Qian Zhao 002; Zongben Xu (IEEE Trans. Wirel. Commun., 2022)

Spectral Super-Resolution on the Unit Circle Via Gradient Descent. - Xunmeng Wu; Zai Yang; Jian-Feng Cai 001; Zongben Xu (ICASSP, 2023)

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. - Cuican Yu; Guansong Lu; Yihan Zeng; Jian Sun 009; Xiaodan Liang; Huibin Li; Zongben Xu; Songcen Xu; Wei Zhang 196; Hang Xu 004 (ICCV, 2023)

Optimal Transport-Guided Conditional Score-Based Diffusion Model. - Xiang Gu 005; Liwei Yang; Jian Sun 009; Zongben Xu (NeurIPS, 2023)

Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART). - Xunmeng Wu; Zai Yang; Zhiqiang Wei 001; Zongben Xu (SSP, 2023)

Keypoint-Guided Optimal Transport. - Xiang Gu 005; Yucheng Yang 004; Wei Zeng; Jian Sun 009; Zongben Xu (CoRR, 2023)

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning. - Jun Shu; Xiang Yuan; Deyu Meng; Zongben Xu (CoRR, 2023)

Optimal Transport-Guided Conditional Score-Based Diffusion Models. - Xiang Gu 005; Liwei Yang; Jian Sun 009; Zongben Xu (CoRR, 2023)

Learning unified mutation operator for differential evolution by natural evolution strategies. - Haotian Zhang; Jianyong Sun; Zongben Xu; Jialong Shi (Inf. Sci., 2023)

Deep expectation-maximization network for unsupervised image segmentation and clustering. - Yannan Pu; Jian Sun 009; Niansheng Tang; Zongben Xu (Image Vis. Comput., 2023)

Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks. - Jun Shu; Deyu Meng; Zongben Xu (J. Mach. Learn. Res., 2023)

Meta-learning-based adversarial training for deep 3D face recognition on point clouds. - Cuican Yu; Zihui Zhang; Huibin Li; Jian Sun 009; Zongben Xu (Pattern Recognit., 2023)

MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging. - Jiazhen Wang; Yan Yang 007; Heran Yang; Chunfeng Lian; Zongben Xu; Jian Sun 009 (IEEE Trans. Computational Imaging, 2023)

Generating Azimuth-Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields. - Feipeng Li; Jinghuai Gao; Zhaoqi Gao; Chuang Li 003; Qingzhen Wang; Wenbo Sun; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2023)

Multichannel Frequency Estimation in Challenging Scenarios via Structured Matrix Embedding and Recovery (StruMER). - Xunmeng Wu; Zai Yang; Zongben Xu (IEEE Trans. Signal Process., 2023)

Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. - Haotian Zhang; Jianyong Sun; Thomas Bäck; Qingfu Zhang 001; Zongben Xu (IEEE Comput. Intell. Mag., 2023)

MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. - Jun Shu; Yanwen Zhu; Qian Zhao 002; Deyu Meng; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. - Qi Xie; Qian Zhao 002; Zongben Xu; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning Adaptive Differential Evolution by Natural Evolution Strategies. - Haotian Zhang; Jianyong Sun; Kay Chen Tan; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

MIMO Detector Selection With Federated Learning. - Yuwen Yang; Feifei Gao; Jiang Xue 001; Ting Zhou; Zongben Xu (IEEE Trans. Wirel. Commun., 2023)

An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee. - Yan Yang 007; Yizhou Wang 006; Jiazhen Wang; Jian Sun 009; Zongben Xu (SIAM J. Imaging Sci., 2023)

Continuous Encoding for Overlapping Community Detection in Attributed Network. - Wei Zheng 004; Jianyong Sun; Qingfu Zhang 001; Zongben Xu (IEEE Trans. Cybern., 2023)

Variational Data-Free Knowledge Distillation for Continual Learning. - Xiaorong Li; Shipeng Wang 002; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. - Jun Shu; Xiang Yuan; Deyu Meng; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. - Haotian Zhang; Jianyong Sun; Yuhao Wang 006; Jialong Shi; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Learning-based local weighted least squares for algebraic multigrid method. - Fan Wang; Xiang Gu 005; Jian Sun 009; Zongben Xu (J. Comput. Phys., 2023)

Robust channel estimation based on the maximum entropy principle. - Zhengyang Hu 001; Jiang Xue 001; Feng Li 057; Qian Zhao 002; Deyu Meng; Zongben Xu (Sci. China Inf. Sci., 2023)

Memory efficient data-free distillation for continual learning. - Xiaorong Li; Shipeng Wang 002; Jian Sun 009; Zongben Xu (Pattern Recognit., 2023)

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. - Xin Liu 078; Jianyong Sun; Qingfu Zhang 001; Zhenkun Wang 001; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities. - Heran Yang; Jian Sun 009; Zongben Xu (IEEE Trans. Medical Imaging, 2023)

Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System. - Qian Xu 017; Jianyong Sun; Zongben Xu (IEEE Trans. Veh. Technol., 2023)

Understanding Deep MIMO Detection. - Qiang Hu; Feifei Gao; Hao Zhang 026; Geoffrey Ye Li; Zongben Xu (IEEE Trans. Wirel. Commun., 2023)

Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing. - Xunmeng Wu; Zai Yang; Zhiqiang Wei 001; Robert Schober; Zongben Xu (EUSIPCO, 2024)

A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. - Haotian Zhang; Jialong Shi; Jianyong Sun; Ali Wagdy Mohamed; Zongben Xu (GECCO Companion, 2024)

Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI. - Xing Li; Yan Yang 007; Hairong Zheng; Zongben Xu (MICCAI (7), 2024)

Adversarial data splitting for domain generalization. - Xiang Gu 005; Jian Sun 009; Zongben Xu (Sci. China Inf. Sci., 2024)

TRG-Net: An Interpretable and Controllable Rain Generator. - Zhiqiang Pang; Hong Wang 021; Qi Xie; Deyu Meng; Zongben Xu (CoRR, 2024)

Adversarial Reweighting with ɑ-Power Maximization for Domain Adaptation. - Xiang Gu 005; Xi Yu; Yan Yang 007; Jian Sun 009; Zongben Xu (CoRR, 2024)

Belt and Brace: When Federated Learning Meets Differential Privacy. - Xuebin Ren; Shusen Yang; Cong Zhao 001; Julie A. McCann; Zongben Xu (CoRR, 2024)

Review of Mathematical Optimization in Federated Learning. - Shusen Yang; Fangyuan Zhao; Zihao Zhou; Liang Shi; Xuebin Ren; Zongben Xu (CoRR, 2024)

Learning-based multi-continuum model for multiscale flow problems. - Fan Wang; Yating Wang; Wing Tat Leung; Zongben Xu (J. Comput. Phys., 2024)

ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization learning network for accerlerated MRI. - Xing Li; Yan Yang 007; Hairong Zheng; Zongben Xu (Pattern Recognit., 2024)

Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation. - Xunmeng Wu; Zai Yang; Zongben Xu (SIAM J. Matrix Anal. Appl., 2024)

Deep Learning Accelerated Blind Seismic Acoustic-Impedance Inversion. - Zhaoqi Gao; Meiqian Guo; Chuang Li 003; Zhen Li 016; Jinghuai Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2024)

COFFEE: Covariance Fitting and Focusing for Wideband Direction-of-Arrival Estimation. - Xunmeng Wu; Zai Yang; Zhiqiang Wei 001; Robert Schober; Zongben Xu (IEEE Trans. Signal Process., 2024)

Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network. - Qingming Kong; Jianyong Sun; Zongben Xu (Knowl. Based Syst., 2024)

Improving Signal Detector by Precoding in Uplink Multiuser MIMO System. - Yiqing Zhang 001; Jianyong Sun; Jiang Xue 001; Zongben Xu (IEEE Trans. Veh. Technol., 2024)

Entropy regularized fuzzy nonnegative matrix factorization for data clustering. - Kun Chen; Junchen Liang; Junmin Liu; Weilin Shen; Zongben Xu; Zhengjian Yao (Int. J. Mach. Learn. Cybern., 2024)

Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling. - Qingming Kong; Jianyong Sun; Yongquan Zhang; Zongben Xu (IEEE Trans. Cybern., 2024)

Robust Saliency-Driven Quality Adaptation for Mobile 360-Degree Video Streaming. - Shibo Wang 002; Shusen Yang; Hairong Su; Cong Zhao 001; Chenren Xu; Feng Qian 001; Nanbin Wang; Zongben Xu (IEEE Trans. Mob. Comput., 2024)

Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation. - Xiang Gu 005; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TelOps: AI-Driven Operations and Maintenance for Telecommunication Networks. - Yuqian Yang; Shusen Yang; Cong Zhao 001; Zongben Xu (IEEE Commun. Mag., 2024)

The Synchrosqueezed Method and Its Theory-Analysis-Based Novel Short-Time Fractional Fourier Transform for Chirp Signals. - Zhen Li 016; Zhaoqi Gao; Liang Chen; Jinghuai Gao; Zongben Xu (Remote. Sens., 2024)

Direction-of-Arrival Estimation for Constant Modulus Signals Using a Structured Matrix Recovery Technique. - Xunmeng Wu; Zai Yang; Zhiqiang Wei 001; Zongben Xu (IEEE Trans. Wirel. Commun., 2024)

Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution. - Xing Li; Kaili Jing; Yan Yang 007; Yongbo Wang; Jianhua Ma 001; Hairong Zheng; Zongben Xu (IEEE Trans. Medical Imaging, 2024)

Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior. - Lixuan Yi; Qian Zhao 002; Zongben Xu (Remote. Sens., 2024)

Adversarial Reweighting with α-Power Maximization for Domain Adaptation. - Xiang Gu 005; Xi Yu; Yan Yang 007; Jian Sun 009; Zongben Xu (Int. J. Comput. Vis., 2024)

Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration. - Jiahong Fu; Qi Xie; Deyu Meng; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Belt and Braces: When Federated Learning Meets Differential Privacy. - Xuebin Ren; Shusen Yang; Cong Zhao 001; Julie A. McCann; Zongben Xu (Commun. ACM, 2024)

Low-Complexity Algorithms for Multichannel Spectral Super-Resolution. - Xunmeng Wu; Zai Yang; Zongben Xu (ICASSP Workshops, 2025)

Self-supervised distributional and contrastive learning model for image anomaly detection. - Yannan Pu; Jian Sun 009; Niansheng Tang; Zongben Xu (Knowl. Based Syst., 2025)

Adaptive representation learning and sample weighting for low-quality 3D face recognition. - Cuican Yu; Fengxun Sun; Zihui Zhang; Huibin Li; Liming Chen 002; Jian Sun 009; Zongben Xu (Pattern Recognit., 2025)

LSTM Network Assisted Construction of the Angle-Dependent Point Spread Function and Its Applications in Seismic Imaging. - Feipeng Li; Jinghuai Gao; Wenbo Sun; Zhiguo Wang 002; Chuang Li 003; Zhaoqi Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

True Amplitude Seismic Imaging With Wave Equation-Based Illumination Compensation in the Dip and Reflection Angle Domain. - Feipeng Li; Jinghuai Gao; Zhiguo Wang 002; Chuang Li 003; Zhaoqi Gao; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

GATE: Adaptive Learning with Working Memory by Information Gating in Multi-lamellar Hippocampal Formation. - Yuechen Liu; Zishun Wang; Chen Qiao; Zongben Xu (CoRR, 2025)

GMapLatent: Geometric Mapping in Latent Space. - Wei Zeng; Xuebin Chang; Jianghao Su; Xiang Gu 005; Jian Sun 009; Zongben Xu (CoRR, 2025)

5GR-DTAD: A Domain and Data-Driven Framework for Diagnosing Abnormal Downlink Throughput in 5G RAN. - Yuqian Yang; Cong Zhao 001; Shusen Yang; Zongben Xu (IEEE Trans. Ind. Informatics, 2025)

Cross-Channel Model-Driven Learning for Massive MIMO Detection by HyperNetwork. - Yiqing Zhang 001; Jianyong Sun; Jiang Xue 001; Zongben Xu (IEEE Trans. Wirel. Commun., 2025)

Training Networks in Null Space of Feature Covariance With Self-Supervision for Incremental Learning. - Shipeng Wang 002; Xiaorong Li; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport. - Taoran Zheng; Xing Li; Yan Yang 007; Xiang Gu 005; Zongben Xu; Jian Sun 009 (CoRR, 2025)

Efficient MU-MIMO Beamforming Based on Majorization-Minimization and Deep Unfolding. - Qian Xu 017; Jianyong Sun; Zongben Xu (IEEE Trans. Wirel. Commun., 2025)

Improving Memory Efficiency for Training KANs via Meta Learning. - Zhangchi Zhao; Jun Shu; Deyu Meng; Zongben Xu (CoRR, 2025)

Protein Structure Prediction Using a New Optimization-Based Evolutionary and Explainable Artificial Intelligence Approach. - Jun Hong; Zhi-Hui Zhan; Langchong He; Zongben Xu; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2025)

Improve Noise Tolerance of Robust Loss via Noise-Awareness. - Kehui Ding; Jun Shu; Deyu Meng; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive Implicit-Based Deep Learning Channel Estimation for 6G Communications. - Zhen Qiao; Jiang Xue 001; Junkai Zhang; Guanzhang Liu; Xiaoqin Ma; Runhua Li; Faheem A. Khan; John S. Thompson; Zongben Xu (IEEE Commun. Mag., 2025)

Rotation Equivariant Arbitrary-scale Image Super-Resolution. - Qi Xie; Jiahong Fu; Zongben Xu; Deyu Meng (CoRR, 2025)

Artificial intelligence-based methods for protein structure prediction: a survey. - Zhi-Hui Zhan; Jun Hong; Jian-Yu Li; Cheng Wang; Langchong He; Zongben Xu; Jun Zhang 003 (Artif. Intell. Rev., 2025)