Zongben Xu

Deyu Meng, Zhengrong Liang, Zongben Xu, 2016, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).

Matrix-traces on C∗-algebra Mn(A)

Zongben Xu, H. Cao, Jianhua Zhang, 2002 .

Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization

Jianyong Sun, Zongben Xu, Haotian Zhang, 2022, GECCO Companion.

Deep alternating non-negative matrix factorisation

Jianyong Sun, Zongben Xu, Qingming Kong, 2022, Knowl. Based Syst..

Ministry of Education Key Lab of Intelligent Networks and Network Security , Xi ’ an Jiaotong University

Deyu Meng, Qian Zhao, Zongben Xu, 2022 .

Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion

Zongben Xu, Jing-Hua Gao, Xiudi Jiang, 2021, GEOPHYSICS.

THE INTERLACING OF SPECTRA BETWEEN CONTINUOUS AND DISCONTINUOUS STURM-LIOUVILLE PROBLEMS AND ITS APPLICATION TO INVERSE PROBLEMS

Zongben Xu, Guangsheng Wei, Shouzhong Fu, 2012 .

Estimating geodesic distances on locally linear patches

Deyu Meng, Zongben Xu, N. Gu, 2007, 2007 IEEE International Symposium on Signal Processing and Information Technology.

Model-driven deep-learning

Zongben Xu, Jian Sun, Zongben Xu, 2018 .

MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks

Deyu Meng, Zongben Xu, Qian Zhao, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization

Zongben Xu, Jian Sun, Z. Wang, 2022, Science China Information Sciences.

Meta-learning-based adversarial training for deep 3D face recognition on point clouds

Zongben Xu, Huibin Li, Jian Sun, 2022, Pattern Recognit..

Self-Paced Learning for Matrix Factorization

Alexander Hauptmann, Lu Jiang, Deyu Meng, 2015, AAAI.

Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach

P. Stoica, Zongben Xu, Zai Yang, 2022, IEEE Transactions on Signal Processing.

Adversarial Reweighting for Partial Domain Adaptation

Zongben Xu, Yan Yang, Jian Sun, 2021, NeurIPS.

An alternating procedure for operators on uniformly convex and uniformly smooth Banach spaces

Zongben Xu, G. Roach, 1991 .

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution

Deyu Meng, Qian Zhao, Zongben Xu, 2022, ECCV.

PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening

Zongben Xu, Xueyang Fu, D. Hong, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion

Zongben Xu, Zhaoqi Gao, Feipeng Li, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification

Deyu Meng, Zongben Xu, J. Chanussot, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Separation-Free Spectral Super-Resolution via Convex Optimization

Gongguo Tang, Zongben Xu, Zai Yang, 2022, 2211.15361.

A Novel Tensor RPCA approach for Background Subtraction from Compressive Measurements

A. Cichocki, Can Yang, Deyu Meng, 2015 .

Learning rates of regularized regression on the unit sphere

Zongben Xu, Shaobo Lin, Xiangyu Chang, 2012, Science China Mathematics.

Spatial and Spectral Image Fusion Using Sparse Matrix Factorization

Zongben Xu, Bo Huang, Huihui Song, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Learning dictionary from signals under global sparsity constraint

Deyu Meng, Zongben Xu, Yee Leung, 2013, Neurocomputing.

Dictionary learning under global sparsity constraint pdf

Yee Leung, Deyu Meng, Zongben Xu, 2012, ArXiv.

Image Inpainting by Patch Propagation Using Patch Sparsity

Zongben Xu, Jian Sun, Zongben Xu, 2010, IEEE Transactions on Image Processing.

Improve Noise Tolerance of Robust Loss via Noise-Awareness

Deyu Meng, Zongben Xu, Jun Shu, 2023, ArXiv.

Understanding Deep MIMO Detection

Zongben Xu, Feifei Gao, Hao Zhang, 2021, IEEE Transactions on Wireless Communications.

Amortized Variational Deep Q Network pdf

Jianyong Sun, Zongben Xu, Yuhao Wang, 2020, ArXiv.

Approximation by neural networks with scattered data

Zongben Xu, Feilong Cao, Shaobo Lin, 2013, Appl. Math. Comput..

Sparse SAR imaging based on L1/2 regularization

Zongben Xu, Jinshan Zeng, Jian Fang, 2012, Science China Information Sciences.

Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality

Zongben Xu, Xiangyu Chang, Bin Zou, 2011, Int. J. Wavelets Multiresolution Inf. Process..

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules

Vince D. Calhoun, Dongdong Lin, Zongben Xu, 2016, Bioinform..

Small Sample Learning in Big Data Era pdf

Deyu Meng, Zongben Xu, Jun Shu, 2018, ArXiv.

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification

Deyu Meng, Zongben Xu, Lin Xu, 2017, Neurocomputing.

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

Qi Xie, Deyu Meng, Zongben Xu, 2019, NeurIPS.

An expanded Phillips theory and its application to differential operators

Zongben Xu, Guangsheng Wei, 2005 .

Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis

Yee Leung, Zongben Xu, Yong Gao, 1997, IEEE Trans. Neural Networks.

Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine

Deyu Meng, Zongben Xu, Ming-Wei Dai, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing

Jocelyn Chanussot, Deyu Meng, Jing Yao, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

Qi Xie, Deyu Meng, Zongben Xu, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism

Zhengrong Liang, Dong Zeng, Qi Xie, 2017, IEEE Transactions on Medical Imaging.

A Novel Sparsity Measure for Tensor Recovery

Qi Xie, Deyu Meng, Zongben Xu, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Robust Principal Component Analysis with Complex Noise

Lei Zhang, Deyu Meng, Zongben Xu, 2014, ICML.

A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries

Lei Zhang, Deyu Meng, Zongben Xu, 2013, AAAI.

Robust low-rank tensor factorization by cyclic weighted median

Lei Zhang, Deyu Meng, Zongben Xu, 2014, Science China Information Sciences.

Learning to be Global Optimizer pdf

Jianyong Sun, Zongben Xu, Haotian Zhang, 2020, ArXiv.

Semi-Supervised Transfer Learning for Image Rain Removal

Ying Wu, Deyu Meng, Zongben Xu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Graph Neural Network Encoding for Community Detection in Attribute Networks

Qingfu Zhang, Wei Zheng, Jianyong Sun, 2020, IEEE Transactions on Cybernetics.

Community Detection for Clustered Attributed Graphs via a Variational EM Algorithm

Zongben Xu, Xiangyu Chang, Xiangyong Cao, 2014, BigDataScience '14.

Clustering by Scale-Space Filtering

Yee Leung, Zongben Xu, Jiang-She Zhang, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

The essential rate of approximation for radial function manifold

Feilong Cao, Shaobo Lin, Zongben Xu, 2011 .

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy

Jin Liu, Zongben Xu, Can Yang, 2018, Bioinform..

The learning performance of support vector machine classification based on Markov sampling

Zongben Xu, Zhiming Peng, Bin Zou, 2013, Science China Information Sciences.

Improve robustness of sparse PCA by L1-norm maximization

Deyu Meng, Zongben Xu, Qian Zhao, 2012, Pattern Recognit..

Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network

Jian Sun, Zongben Xu, Huibin Li, 2017, IEEE Transactions on Multimedia.

Learning a convolutional neural network for non-uniform motion blur removal

Jean Ponce, Zongben Xu, Jian Sun, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Greedy Criterion in Orthogonal Greedy Learning

Xia Liu, Yi Fang, Zongben Xu, 2016, IEEE Transactions on Cybernetics.

Shrinkage Degree in $L_{2}$ -Rescale Boosting for Regression

Zongben Xu, Yao Wang, Shaobo Lin, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Regularization Path for Linear Model via Net Method

Kwong-Sak Leung, Zongben Xu, Cheng Liu, 2012, ICSI.

Two soft-thresholding based iterative algorithms for image deblurring

Jie Huang, Zongben Xu, Ting-Zhu Huang, 2014, Inf. Sci..

Essential rate for approximation by spherical neural networks

Zongben Xu, Feilong Cao, Shaobo Lin, 2011, Neural Networks.

The optimal encodings for biased association in linear associative memories

Yee Leung, Zongben Xu, Tian-Xin Dong, 1998, Neural Networks.

A novel L1/2 regularization shooting method for Cox’s proportional hazards model

Kwong-Sak Leung, Zongben Xu, Cheng Liu, 2014, Soft Comput..

Multi-view based integrative analysis of gene expression data for identifying biomarkers

Jun Shu, Xiao-Ying Liu, Yong Liang, 2019, Scientific Reports.

Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds

Yee Leung, Deyu Meng, Zongben Xu, 2013, Pattern Recognit..

A new quality assessment criterion for nonlinear dimensionality reduction

Yee Leung, Deyu Meng, Zongben Xu, 2011, Neurocomputing.

$L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver

Zongben Xu, Xiangyu Chang, Fengmin Xu, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Error Estimate for Spherical Neural Networks Interpolation

Zongben Xu, Jinshan Zeng, Shaobo Lin, 2015, Neural Processing Letters.

A general radial quasi-interpolation operator on the sphere

Zongben Xu, Feilong Cao, Xiangyu Chang, 2012, J. Approx. Theory.

The generalization performance of ERM algorithm with strongly mixing observations

Zongben Xu, Luoqing Li, Bin Zou, 2009, Machine Learning.

Determination of the spread parameter in the Gaussian kernel for classification and regression

Wenjian Wang, Zongben Xu, Xiaoyun Zhang, 2003, Neurocomputing.

Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling

Deyu Meng, Xi-Le Zhao, Tian-Hui Ma, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising

Qi Xie, Deyu Meng, Zongben Xu, 2020, Science China Information Sciences.

High-order total variation-based multiplicative noise removal with spatially adapted parameter selection.

Zongben Xu, Ting-Zhu Huang, Jun Liu, 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.

Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm

Zongben Xu, Jinshan Zeng, Shaobo Lin, 2014, IEEE Transactions on Signal Processing.

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements

Andrzej Cichocki, Deyu Meng, Zongben Xu, 2015, IEEE Transactions on Image Processing.

Semi-supervised CNN for Single Image Rain Removal pdf

Deyu Meng, Zongben Xu, Wei Wei, 2018, ArXiv.

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization

Lei Zhang, Qi Xie, Deyu Meng, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising

Yi Yang, Deyu Meng, Zongben Xu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Categorization Axioms

Zongben Xu, Jianjun Yu, 2014 .

Categorization Axioms for Clustering Results

Zongben Xu, Jian Yu, J. Yu, 2014 .

Categorization Axioms for Classification and Clustering pdf

Jian Yu, Zongben Xu, Zongben Xu, 2014, ArXiv.

Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks

Lisheng Wang, Zongben Xu, Jigen Peng, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN

Aaron Carass, Zongben Xu, Jian Sun, 2020, IEEE Transactions on Medical Imaging.

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Qi Xie, Deyu Meng, Zongben Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Variational Bayes' method for functions with applications to some inverse problems pdf

Deyu Meng, Zongben Xu, Junxiong Jia, 2019, SIAM J. Sci. Comput..

Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode Decomposition

Zongben Xu, Fangyu Li, Dehua Wang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization

Qingfu Zhang, Hui Li, Jingda Deng, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Robust spectral compressive sensing via vanilla gradient descent pdf

Xunmeng Wu, Zongben Xu, Zai Yang, 2021, ArXiv.

An expanding self-organizing neural network for the traveling salesman problem

Kwong-Sak Leung, Huidong Jin, Zongben Xu, 2004, Neurocomputing.

An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem

Kwong-Sak Leung, Huidong Jin, Zongben Xu, 2003, IEEE Trans. Syst. Man Cybern. Part B.

Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation

Deyu Meng, Zongben Xu, J. Chanussot, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Fast image deconvolution using closed-form thresholding formulas of regularization

Zongben Xu, Jian Sun, Wenfei Cao, 2013, J. Vis. Commun. Image Represent..

Enhancing Low-Rank Subspace Clustering by Manifold Regularization

Zongben Xu, Jiang-She Zhang, Yijun Chen, 2014, IEEE Transactions on Image Processing.

Federated Dynamic Neural Network for Deep MIMO Detection

Zongben Xu, Feifei Gao, Ting Zhou, 2021, 2111.12260.

Model-Driven Deep Learning for Physical Layer Communications

Geoffrey Ye Li, Shi Jin, Zongben Xu, 2018, IEEE Wireless Communications.

Transformation of rough set models

Zongben Xu, Daowu Pei, D. Pei, 2007, Knowl. Based Syst..

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN

Aaron Carass, Jerry L. Prince, Jian Sun, 2018, DLMIA/ML-CDS@MICCAI.

Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image

Lisheng Wang, Zongben Xu, Yu-Ping Wang, 2014, IEEE Transactions on Visualization and Computer Graphics.

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)

Xia Liu, Zongben Xu, Jian Fang, 2015, IEEE Trans. Neural Networks Learn. Syst..

Approximation capability of interpolation neural networks

Zongben Xu, Feilong Cao, Shaobo Lin, 2010, Neurocomputing.

New study on neural networks: the essential order of approximation

Zongben Xu, Jianjun Wang, Zongben Xu, 2010, Neural Networks.

Lower estimation of approximation rate for neural networks

Zongben Xu, Feilong Cao, Yongquan Zhang, 2009, Science in China Series F: Information Sciences.

The estimate for approximation error of neural networks: A constructive approach

Zongben Xu, Feilong Cao, Tingfan Xie, 2008, Neurocomputing.

The essential order of approximation for neural networks

Zongben Xu, Feilong Cao, Zongben Xu, 2004, Science in China Series F: Information Sciences.

The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units

Zongben Xu, Feilong Cao, Chunmei Ding, 2006, ISNN.

The essential order of approximation for nearly exponential type neural networks

Zongben Xu, Jianjun Wang, Zongben Xu, 2006, Science in China Series F: Information Sciences.

Simultaneous Lp-approximation order for neural networks

Zongben Xu, Fei-Long Cao, Zongben Xu, 2005, Neural Networks.

Pointwise Approximation for Neural Networks

Zongben Xu, Feilong Cao, Youmei Li, 2005, ISNN.

Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills

Zongben Xu, Wen Hong, Jinshan Zeng, 2013, Signal Process..

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification

Kwong-Sak Leung, Zongben Xu, Cheng Liu, 2013, BMC Bioinformatics.

Improving geodesic distance estimation based on locally linear assumption

Qingfu Zhang, Yee Leung, Deyu Meng, 2008, Pattern Recognit. Lett..

Learning Through Deterministic Assignment of Hidden Parameters

Zongben Xu, Jian Fang, Shaobo Lin, 2018, IEEE Transactions on Cybernetics.

Almost optimal estimates for approximation and learning by radial basis function networks

Zongben Xu, Shaobo Lin, Xia Liu, 2014, Machine Learning.

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes

Zongben Xu, Yuan Lan, Guang-Bin Huang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Sparse SAR imaging based on L1/2 regularization

Zongben Xu, Jinshan Zeng, Jian Fang, 2012, Science China Information Sciences.

A new model of simulated evolutionary computation-convergence analysis and specifications

Chak-Kuen Wong, Kwong-Sak Leung, Zongben Xu, 2001, IEEE Trans. Evol. Comput..

A heuristic training for support vector regression

Wenjian Wang, Zongben Xu, Zongben Xu, 2004, Neurocomputing.

Characteristic analysis and prevention on premature convergence in genetic algorithms

Zongben Xu, Zongben Xu, Yong Gao, 1997 .

A general CDC formulation for specializing the cell exclusion algorithms of finding all zeros of vector functions

Jiang-She Zhang, Yiu-Wing Leung, Zongben Xu, 1997 .

A cell exclusion algorithm for determining all the solutions of a nonlinear system of equations

Wei Wang, Jiang-She Zhang, Zongben Xu, 1996 .

Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding

Kwong-Sak Leung, Zongben Xu, Yong Liang, 2007, ISNN.

Training Networks in Null Space of Feature Covariance for Continual Learning

Zongben Xu, Jian Sun, Shipeng Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hyperspectral Image Classification With Convolutional Neural Network and Active Learning

Deyu Meng, Zongben Xu, Jing Yao, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction

Zongben Xu, Zhibin Pan, Jinghuai Gao, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Seismic wave equations in tight oil/gas sandstone media

W. Han, Zongben Xu, Yijie Zhang, 2018, Science China Earth Sciences.

An Optimized Deep Network Representation of Multimutation Differential Evolution and its Application in Seismic Inversion

Zongben Xu, Jinghuai Gao, Zhibin Pan, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Inclusion degree: a perspective on measures for rough set data analysis

Jiye Liang, Zongben Xu, Chuangyin Dang, 2002, Inf. Sci..

MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion

Deyu Meng, Qi Xie, Zongben Xu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks

Feng Li, Zongben Xu, Zongben Xu, 2014, IEEE Signal Processing Letters.

MIMO Detector Selection With Federated Learning

Zongben Xu, F. Gao, Yuwen Yang, 2023, IEEE Transactions on Wireless Communications.

On Characterizations of Exponential Stability of Nonlinear Discrete Dynamical Systems on Bounded Regions

Lisheng Wang, Zongben Xu, Zongben Xu, 2007, IEEE Transactions on Automatic Control.

Spherical Space Domain Adaptation With Robust Pseudo-Label Loss

Zongben Xu, Jian Sun, Xiang Gu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Optimal rate of the regularized regression learning algorithm

Zongben Xu, Feilong Cao, Yongquan Zhang, 2011, Int. J. Comput. Math..

Graph PCA Hashing for Similarity Search

Xuelong Li, Xiaofeng Zhu, Zongben Xu, 2017, IEEE Transactions on Multimedia.

Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks

Lisheng Wang, Zongben Xu, Zongben Xu, 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

Image super-resolution using gradient profile prior

H. Shum, Zongben Xu, Jian Sun, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure

Deyu Meng, Zongben Xu, Yang Chen, 2017, IEEE Transactions on Cybernetics.

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

Deyu Meng, Zongben Xu, Feng Zhou, 2017, IEEE Transactions on Image Processing.

Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field

Deyu Meng, Zongben Xu, Xiangyong Cao, 2019, Remote. Sens..

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Deyu Meng, Jocelyn Chanussot, Zongben Xu, 2020, ECCV.

An active contour model and its algorithms with local and global Gaussian distribution fitting energies

Hui Wang, Zongben Xu, Yilun Wang, 2014, Inf. Sci..

An empirical comparison of three novel genetic algorithms

Zongben Xu, Huiyuan Fan, Jane Wei‐Zhen Lu, 2000 .

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions

Deyu Meng, Zongben Xu, Yang Chen, 2016, IEEE Transactions on Image Processing.

Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field

Zongben Xu, Xiangyong Cao, Yong Xue, 2020, IEEE Transactions on Image Processing.

Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing

Yao Wang, Deyu Meng, Zongben Xu, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Efficiency speed‐up strategies for evolutionary computation: an adaptive implementation

Kwong-Sak Leung, Zongben Xu, K. Leung, 2002 .

Scale selection for anisotropic diffusion filter by Markov random field model

Zongben Xu, Jian Sun, Zongben Xu, 2010, Pattern Recognit..

Learning Adaptive Loss for Robust Learning with Noisy Labels pdf

Deyu Meng, Zongben Xu, Jun Shu, 2020, ArXiv.

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient

T. Back, Jianyong Sun, Zongben Xu, 2021, IEEE Transactions on Evolutionary Computation.

Global Convergence of Online BP Training With Dynamic Learning Rate

Dianhui Wang, Zongben Xu, Guang-Bin Huang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

When Does Online BP Training Converge?

Zongben Xu, Wenfeng Jing, Rui Zhang, 2009, IEEE Transactions on Neural Networks.

Interpolation and Best Approximation for Spherical Radial Basis Function Networks

Jinshan Zeng, Shaobo Lin, Zongben Xu, 2013 .

Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks

Zongben Xu, Chung-Ping Kwong, Guo-Qing Hu, 1996, IEEE Trans. Neural Networks.

Three improved neural network models for air quality forecasting

Zongben Xu, Wenjian Wang, Jane Wei‐Zhen Lu, 2003 .

Dynamic Extreme Learning Machine and Its Approximation Capability

Zongben Xu, Yuan Lan, Yeng Chai Soh, 2013, IEEE Transactions on Cybernetics.

The Algorithm on Knowledge Reduction in Incomplete Information Systems

Jiye Liang, Zongben Xu, Zongben Xu, 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification

Zongben Xu, Zhiqiang Wei, Feng Xu, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Fast Compressed Sensing SAR Imaging Based on Approximated Observation

Zongben Xu, Wen Hong, Yirong Wu, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Sparse Index Tracking : An L 1 / 2 Regularization Based Model and Solution

Honggang Xue, Zongben Xu, Zongben Xu, 2011 .

Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization

K. Leung, Zongben Xu, Yong Liang, 2016, BMC Medical Genomics.

Entanglement-assisted quantum codes achieving the quantum singleton bound but violating the quantum hamming bound

Zongben Xu, Ruihu Li, Luobin Guo, 2014, Quantum Inf. Comput..

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing

Deyu Meng, Zongben Xu, Jing Yao, 2019, IEEE Transactions on Image Processing.

Self-Paced Learning for Matrix Factorization

Qi Xie, Deyu Meng, Zongben Xu, 2015, AAAI.

Learning capability of the truncated greedy algorithm

Zongben Xu, Shaobo Lin, Lin Xu, 2016, Science China Information Sciences.

Efficient Projected Gradient Methods for L 0 Constrained Optimization

Fengmin Xu, Yuhong Dai, Zongben Xu, 2021 .

Efficient projected gradient methods for cardinality constrained optimization

Zongben Xu, Zhihua Zhao, Yuhong Dai, 2018, Science China Mathematics.

A multi-phase multiobjective approach based on decomposition for sparse reconstruction

Qingfu Zhang, Zongben Xu, Yuanyuan Fan, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Robust sparse principal component analysis

Deyu Meng, Qian Zhao, Zongben Xu, 2014, Science China Information Sciences.

Regularization: Convergence of Iterative Half Thresholding Algorithm

Zongben Xu, Jinshan Zeng, Yao Wang, 2014 .

Sparse solution of underdetermined linear equations via adaptively iterative thresholding pdf

Zongben Xu, Jinshan Zeng, Shaobo Lin, 2013, Signal Process..

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems

Qingfu Zhang, Zongben Xu, Hui Li, 2012, PPSN.

The essential ability of sparse reconstruction of different compressive sensing strategies

Zongben Xu, Hai Zhang, Yong Liang, 2012, Science China Information Sciences.

A hybrid hard thresholding algorithm for compressed sensing

Fengmin Xu, Zongben Xu, Shanhe Wang, 2011, 2011 IEEE 3rd International Conference on Communication Software and Networks.

Noise-Generating-Mechanism-Driven Unsupervised Learning for Low-Dose CT Sinogram Recovery

Sui Li, Danyang Li, Dong Zeng, 2022, IEEE Transactions on Radiation and Plasma Medical Sciences.

Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks

Deyu Meng, Zongben Xu, Jun Shu, 2021, 2107.02378.

Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks pdf

Deyu Meng, Jun Shu, Zongben Xu, 2021, ArXiv.

Greedy metrics in orthogonal greedy learning pdf

Zongben Xu, Jinshan Zeng, Lin Xu, 2014, ArXiv.

Learning and approximation capabilities of orthogonal super greedy algorithm pdf

Zongben Xu, Jian Fang, Shaobo Lin, 2014, Knowl. Based Syst..

The UPPAM continuous-time RNN model and its critical dynamics study

Zongben Xu, Chen Qiao, Wenfeng Jing, 2013, Neurocomputing.

Critical dynamics study on recurrent neural networks: Globally exponential stability

Zongben Xu, Chen Qiao, Zongben Xu, 2012, Neurocomputing.

On the P-critical dynamics analysis of projection recurrent neural networks

Zongben Xu, Chen Qiao, Zongben Xu, 2010, Neurocomputing.

A critical global convergence analysis of recurrent neural networks with general projection mappings

Zongben Xu, Chen Qiao, Zongben Xu, 2009, Neurocomputing.

New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings

Zongben Xu, Chen Qiao, Zongben Xu, 2007, ISNN.

A critical analysis on global convergence of Hopfield-type neural networks

Hong Qiao, Bo Zhang, Zongben Xu, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

A reference model approach to stability analysis of neural networks

Hong Qiao, Bo Zhang, Zongben Xu, 2003, IEEE Trans. Syst. Man Cybern. Part B.

A comparative study of two modeling approaches in neural networks

Hong Qiao, Bo Zhang, Zongben Xu, 2004, Neural Networks.

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning

Deyu Meng, Zongben Xu, Jun Shu, 2023, ArXiv.

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning

Deyu Meng, Zongben Xu, Jun Shu, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks

Deyu Meng, Zongben Xu, Jun Shu, 2021, J. Mach. Learn. Res..

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction pdf

Deyu Meng, Zongben Xu, Jun Shu, 2020, ArXiv.

Robust subspace clustering via penalized mixture of Gaussians

Deyu Meng, Zongben Xu, Jing Yao, 2018, Neurocomputing.

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?

Qi Xie, Deyu Meng, Zongben Xu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Nonexistence of complete conformal metrics with prescribed scalar curvatures on a manifold of nonpositive curvature

Zongben Xu, Zonglao Zhang, 2004 .

Re-scale AdaBoost for attack detection in collaborative filtering recommender systems

Zongben Xu, Zhongmin Cai, Lin Xu, 2015, Knowl. Based Syst..

A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization

Zongben Xu, Rui Zhang, Zongben Xu, 2005, CIS.

Building long-wavelength velocity for salt structure using stochastic full waveform inversion with deep autoencoder based model reduction

Zongben Xu, Jinghuai Gao, Z. Pan, 2019, SEG Technical Program Expanded Abstracts 2019.

Quantum-Enhanced Deep Learning-Based Lithology Interpretation From Well Logs

Jinghuai Gao, Fangyu Li, Naihao Liu, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Common-azimuth seismic data fault analysis using residual UNet

Jinghuai Gao, Tao He, Naihao Liu, 2020 .

Proportion-based robust optimization and team orienteering problem with interval data

Xueming Qian, Zongben Xu, Zuren Feng, 2013, Eur. J. Oper. Res..

A heuristic hierarchical clustering based on multiple similarity measurements

Zongben Xu, Chun-Zhong Li, Tao Luo, 2013, Pattern Recognit. Lett..

The Generalization Ability of SVM Classification Based on Markov Sampling

Jie Xu, Yuan Yan Tang, Zongben Xu, 2015, IEEE Transactions on Cybernetics.

$L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver

Fengmin Xu, Zongben Xu, Hai Zhang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network

Deyu Meng, Zongben Xu, Feng Zhou, 2017, ArXiv.

Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling

Deyu Meng, Zongben Xu, Tian-Hui Ma, 2020, Remote. Sens..

$L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method

Yan Yan, Deyu Meng, Zongben Xu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A Decomposition Principle for Complexity Reduction of Artificial Neural Networks

Zongben Xu, Chung-Ping Kwong, Zongben Xu, 1996, Neural Networks.

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize

Deyu Meng, Zongben Xu, Jun Shu, 2020, ArXiv.

HyperAdam: A Learnable Task-Adaptive Adam for Network Training

Jian Sun, Zongben Xu, Shipeng Wang, 2018, AAAI.

L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm

Zongben Xu, Shaobo Lin, Jinshan Zeng, 2013, ArXiv.

SAR imaging from compressed measurements based on L1/2 regularization

Hai Jiang, Zongben Xu, Wen Hong, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation

Zongben Xu, Jian Sun, Yucheng Yang, 2022, NeurIPS.

Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel

Zongben Xu, Jinshan Zeng, Jian Fang, 2013, Neural Computation.

Estimation of convergence rate for multi-regression learning algorithm

Zongben Xu, F. Cao, Yongquan Zhang, 2012, Science China Information Sciences.

Learning from uniformly ergodic Markov chains

Zongben Xu, Bin Zou, Hai Zhang, 2009, J. Complex..

Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains

Zongben Xu, Xiangyu Chang, Bin Zou, 2012, Adv. Comput. Math..

The Generalization Ability of Online SVM Classification Based on Markov Sampling

Jie Xu, Yuan Yan Tang, Zongben Xu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A novel dual approach to nonlinear semigroups of Lipschitz operators

Jigen Peng, Zongben Xu, 2004 .

Some properties of subharmonic functions on complete Riemannian manifolds and their geometric applications

Zongben Xu, Zonglao Zhang, 2004 .

L1/2 regularization

Zongben Xu, Yao Wang, Hai Zhang, 2010 .

Learning Adaptive Differential Evolution by Natural Evolution Strategies

Zongben Xu, K. Tan, Haotian Zhang, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Block-sparse compressed sensing with partially known signal support via non-convex minimisation

Zongben Xu, Jianjun Wang, Yao Wang, 2016, IET Signal Process..

Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method

Yao Zhao, Zongben Xu, Jinshan Zeng, 2012, Science China Information Sciences.

Restricted p-isometry properties of nonconvex block-sparse compressed sensing

Zongben Xu, Jianjun Wang, Yao Wang, 2014, Signal Process..

Sparse radar imaging based on L 1/2 regularization theory

Zongben Xu, Yirong Wu, Bingchen Zhang, 2018 .

An efficient optimization approach for a cardinality-constrained index tracking problem

Zongben Xu, Zhaosong Lu, Fengmin Xu, 2015, Optim. Methods Softw..

The L1/2 regularization method for variable selection in the Cox model

Kwong-Sak Leung, Zongben Xu, Cheng Liu, 2014, Appl. Soft Comput..

On recovery of block-sparse signals via mixed l 2 / l q ( 0 < q ≤ 1 ) normminimization

Zongben Xu, Jianjun Wang, Yao Wang, 2013 .

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

Zongben Xu, Jian Sun, Heran Yang, 2021, MICCAI.

Robust sparse and low-rank matrix decomposition based on S 1/2 modeling

Zongben Xu, Guo Rao, Yi Peng, 2013 .

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)

Xia Liu, Zongben Xu, Jian Fang, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging

Jian Sun, Zongben Xu, Nan Meng, 2019, MICCAI.

Folded-concave penalization approaches to tensor completion

Zongben Xu, Can Yang, Zhi Han, 2015, Neurocomputing.

Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection

Geoffrey Y. Li, Zongben Xu, J. Xue, 2022, IEEE Transactions on Signal Processing.

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions

Deyu Meng, Qian Zhao, Zongben Xu, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Structural Hyper-Parameter Configuration by Q-Learning

Jianyong Sun, Zongben Xu, Haotian Zhang, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution

Qingfu Zhang, Jianyong Sun, Zongben Xu, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm

Zongben Xu, Haotian Zhang, Jianyong Sun, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Robust online rain removal for surveillance videos with dynamic rains

Qian Zhao, Lixuan Yi, Zongben Xu, 2021, Knowl. Based Syst..

Air pollutant parameter forecasting using support vector machines

Wenjian Wang, Zongben Xu, Wei-Zhen Lu, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Continuity and Stability of a Quadratic Mixed-Integer Stochastic Program

Zongben Xu, Zhiping Chen, Zhiping Chen, 2009 .

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling

Yuan Yan Tang, Zongben Xu, Luoqing Li, 2013, IEEE Transactions on Neural Networks and Learning Systems.

An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial–Temporal Total Variation Regularization

Zhaoying Bian, Sui Li, Dong Zeng, 2019, IEEE Transactions on Medical Imaging.

Latent semantic analysis for text categorization using neural network

Bo Yu, Zong-ben Xu, Cheng-hua Li, 2008, Knowl. Based Syst..

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels pdf

Qi Xie, Deyu Meng, Zongben Xu, 2019, ArXiv.

New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]

Bernard Widrow, Zongben Xu, Erik Cambria, 2015, IEEE Comput. Intell. Mag..

New Trends of Learning in Computational Intelligence [Guest Editorial]

Bernard Widrow, Zongben Xu, Erik Cambria, 2015, IEEE Comput. Intell. Mag..

Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]

Thomas Bäck, Qingfu Zhang, Zongben Xu, 2023, IEEE Computational Intelligence Magazine.

On Hyper-parameter Tuning for Stochastic Optimization Algorithms

Jianyong Sun, Zongben Xu, Haotian Zhang, 2020, ArXiv.

Random ambiguous point of random k(ω)-set–contractive operator

Zongben Xu, Chuanxi Zhu, 2007 .

Learning to Search for MIMO Detection

Jianyong Sun, Zongben Xu, Jiang Xue, 2019, IEEE Transactions on Wireless Communications.

Entropy regularized fuzzy nonnegative matrix factorization for data clustering

Zongben Xu, Junmin Liu, Weilin Shen, 2023, International Journal of Machine Learning and Cybernetics.

A block coordinate descent approach for sparse principal component analysis

Deyu Meng, Zongben Xu, Chenqiang Gao, 2015, Neurocomputing.

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements pdf

Andrzej Cichocki, Deyu Meng, Zongben Xu, 2015, ArXiv.

Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation.

Zongben Xu, Jian Sun, Xiang Gu, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Some results on the lexicographic product of vertex-transitive graphs

Wei Wang, Feng Li, Zongben Xu, 2011, Appl. Math. Lett..

Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions

Zongben Xu, Ting-Zhu Huang, Xi-Le Zhao, 2012, Inf. Sci..

IGESS: a statistical approach to integrating individual‐level genotype data and summary statistics in genome‐wide association studies

Jin Liu, Zongben Xu, Can Yang, 2017, Bioinform..

Why curriculum learning & self-paced learning work in big/noisy data: A theoretical perspective

Deyu Meng, Zongben Xu, Qian Zhao, 2015 .

Abnormality detection in retinal image by individualized background learning

Benzhi Chen, Lisheng Wang, Jian Sun, 2020, Pattern Recognit..

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition pdf

Liming Chen, Dong Wang, Jian Sun, 2015, ArXiv.

Variational HyperAdam: A Meta-Learning Approach to Network Training

Yan Yang, Jian Sun, Zongben Xu, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks

Hong Qiao, Zongben Xu, Jigen Peng, 2001, IEEE Trans. Neural Networks.

Learning Capability of Relaxed Greedy Algorithms

Zongben Xu, Xingping Sun, Shaobo Lin, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Improve Noise Tolerance of Robust Loss via Noise-Awareness

Deyu Meng, Zongben Xu, Jun Shu, 2023, arXiv.org.

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning

Deyu Meng, Zongben Xu, Yao Wang, 2017, IEEE Transactions on Cybernetics.

Margin Based PU Learning

Jieping Ye, Zongben Xu, Ming Lin, 2018, AAAI.

Model selection of polynomial kernel regression pdf

Zongben Xu, Jinshan Zeng, Xingping Sun, 2015, ArXiv.

Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs

Kwong-Sak Leung, Yee Leung, Zongben Xu, 2003, Appl. Math. Comput..

Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images

Lisheng Wang, Zongben Xu, Huibin Li, 2016, MICCAI.

On multivariate Baskakov operator

Zongben Xu, F. Cao, Chunmei Ding, 2005 .

Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design

Shouren Lan, Lisheng Wang, Zongben Xu, 2017, IEEE Transactions on Visualization and Computer Graphics.

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study

Vince D. Calhoun, Chen Qiao, Yu-Ping Wang, 2020, Neural Networks.

Multiple solutions of some nonlinear fourth-order beam equations

Guodong Han, Zongben Xu, Zongben Xu, 2008 .

New study on neural networks: the essential order of approximation

Zongben Xu, Jianjun Wang, 2010, Neural Networks.

Approximation Bounds by Neural Networks in Lpomega

Zongben Xu, Weijun Xu, Jianjun Wang, 2004, ISNN.

A sharp nonasymptotic bound and phase diagram of L1/2 regularization

Zongben Xu, Yao Wang, Hai Zhang, 2014 .

Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm

Deyu Meng, Zongben Xu, Hengbin Cui, 2013, Data Knowl. Eng..

Efficient projected gradient methods for cardinality constrained optimization

Fengmin Xu, Yuhong Dai, Zongben Xu, 2018, Science China Mathematics.

Continuous Encoding for Overlapping Community Detection in Attributed Network

Qingfu Zhang, Jianyong Sun, Zongben Xu, 2022, IEEE Transactions on Cybernetics.

Hybrid domain frequency controllable envelope inversion with lowrank approximation for long-wavelength velocity model building

Zongben Xu, Chuang Li, Jinghuai Gao, 2022, Journal of Applied Geophysics.

Improved Low-Rank Filtering of MR Spectroscopic Imaging Data With Pre-Learnt Subspace and Spatial Constraints

Zongben Xu, Yang Chen, Yudu Li, 2019, IEEE Transactions on Biomedical Engineering.

Global annealing genetic algorithm and its convergence analysis

Yee Leung, Jiang-She Zhang, Zongben Xu, 1997 .

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

Zongben Xu, Huibin Li, Jian Sun, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Variational Data-Free Knowledge Distillation for Continual Learning

Zongben Xu, Jian Sun, Shipeng Wang, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust low-rank tensor factorization by cyclic weighted median

Deyu Meng, Lei Zhang, Zongben Xu, 2015, Science China Information Sciences.

Constructive approximate interpolation by neural networks in the metric space

Zongben Xu, Feilong Cao, Shaobo Lin, 2010, Math. Comput. Model..

A new approach for extracting the amplitude spectrum of the seismic wavelet from the seismic traces

Jinghuai Gao, Weimin Han, Jigen Peng, 2017 .

A further necessary and sufficient condition for strong convergence of nonlinear contraction semigroups and of iterative methods for accretive operators in Banach spaces

Zongben Xu, Yaolin Jiang, G. Roach, 1995, Proceedings of the Edinburgh Mathematical Society.

LINEAR QUANTUM CODES OF MINIMUM DISTANCE THREE

Xueliang Li, Ruihu Li, Zongben Xu, 2006 .

Poisson image fusion based on Markov random field fusion model

Chongzhao Han, Zongben Xu, Jian Sun, 2013, Inf. Fusion.

Learning capability of the truncated greedy algorithm

Zongben Xu, Lin Xu, Shaobo Lin, 2016, Science China Information Sciences.

Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold

Yee Leung, Deyu Meng, Zongben Xu, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Incremental Alignment Manifold Learning

Deyu Meng, Zongben Xu, Zhi Han, 2011, Journal of Computer Science and Technology.

Robust sparse principal component analysis

Deyu Meng, Zongben Xu, Qian Zhao, 2014, Science China Information Sciences.

A recursive divide-and-conquer approach for sparse principal component analysis pdf

Deyu Meng, Zongben Xu, Qian Zhao, 2012, ArXiv.

Maps preserving numerical radius distance on C -algebras

Zongben Xu, J. Hou, Zhaofang Bai, 2004 .

A Note on Block-Sparse Signal Recovery with Coherent Tight Frames

Yao Wang, Jianjun Wang, Zongben Xu, 2013 .

A genetic algorithm for the multiple destination routing problems

Yee Leung, Zongben Xu, Guo Li, 1998, IEEE Trans. Evol. Comput..

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Deyu Meng, Zongben Xu, J. Chanussot, 2020, ECCV.

Multiple-valued feedback and recurrent correlation neural networks

Zongben Xu, Chung-Ping Kwong, Z.-Y. Chen, 1995, Neural Computing & Applications.

Memory efficient data-free distillation for continual learning

Zongben Xu, Jian Sun, Shipeng Wang, 2023, Pattern Recognit..

Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization

Zhaoying Bian, Wufan Chen, Zhengrong Liang, 2017, IEEE Transactions on Medical Imaging.

Hierarchical clustering driven by cognitive features

Zongben Xu, C. Qiao, Chunzhong Li, 2013, Science China Information Sciences.

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling

Yuanyan Tang, Yang Lu, Zongben Xu, 2014, IEEE Transactions on Cybernetics.

Painting and calligraphy identification method based on hyperspectral imaging and convolution neural network

Zongben Xu, Jian Du, Xingjia Tang, 2021, Spectroscopy Letters.

A necessary and sufficient condition for convergence of steepest descent approximation to accretive operator equations

Zongben Xu, G. Roach, 1992 .

On conditions of weak convergence of nonlinear contraction semigroups and of iterative methods for accretive operators in Banach spaces

Zongben Xu, Yaolin Jiang, G. Roach, 1996 .

A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution

Jinghuai Gao, Xiudi Jiang, Hongling Chen, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Building large-scale density model via a deep-learning-based data-driven method

Zongben Xu, Zhibin Pan, Jinghuai Gao, 2020 .