Zongben Xu

Orcid: 0000-0002-4066-2338

Affiliations:
  • Xi'an Jiaotong University


According to our database1, Zongben Xu authored at least 379 papers between 1985 and 2025.

Collaborative distances:

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Bibliography

2025
Adaptive representation learning and sample weighting for low-quality 3D face recognition.
Pattern Recognit., 2025

2024
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Adversarial Reweighting with α-Power Maximization for Domain Adaptation.
Int. J. Comput. Vis., October, 2024

Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior.
Remote. Sens., August, 2024

Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution.
IEEE Trans. Medical Imaging, May, 2024

Direction-of-Arrival Estimation for Constant Modulus Signals Using a Structured Matrix Recovery Technique.
IEEE Trans. Wirel. Commun., April, 2024

The Synchrosqueezed Method and Its Theory-Analysis-Based Novel Short-Time Fractional Fourier Transform for Chirp Signals.
Remote. Sens., April, 2024

TelOps: AI-Driven Operations and Maintenance for Telecommunication Networks.
IEEE Commun. Mag., April, 2024

Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Robust Saliency-Driven Quality Adaptation for Mobile 360-Degree Video Streaming.
IEEE Trans. Mob. Comput., February, 2024

Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling.
IEEE Trans. Cybern., February, 2024

Entropy regularized fuzzy nonnegative matrix factorization for data clustering.
Int. J. Mach. Learn. Cybern., February, 2024

Improving Signal Detector by Precoding in Uplink Multiuser MIMO System.
IEEE Trans. Veh. Technol., January, 2024

Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network.
Knowl. Based Syst., January, 2024

Deep Learning Accelerated Blind Seismic Acoustic-Impedance Inversion.
IEEE Trans. Geosci. Remote. Sens., 2024

Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation.
SIAM J. Matrix Anal. Appl., 2024

ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization learning network for accerlerated MRI.
Pattern Recognit., 2024

Learning-based multi-continuum model for multiscale flow problems.
J. Comput. Phys., 2024

Belt and Brace: When Federated Learning Meets Differential Privacy.
CoRR, 2024

Adversarial Reweighting with ɑ-Power Maximization for Domain Adaptation.
CoRR, 2024

TRG-Net: An Interpretable and Controllable Rain Generator.
CoRR, 2024

Adversarial data splitting for domain generalization.
Sci. China Inf. Sci., 2024

Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Gradient-based Method for Differential Evolution Parameter Control by Smoothing.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Understanding Deep MIMO Detection.
IEEE Trans. Wirel. Commun., December, 2023

Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System.
IEEE Trans. Veh. Technol., December, 2023

Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities.
IEEE Trans. Medical Imaging, December, 2023

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

Memory efficient data-free distillation for continual learning.
Pattern Recognit., December, 2023

Robust channel estimation based on the maximum entropy principle.
Sci. China Inf. Sci., December, 2023

Learning-based local weighted least squares for algebraic multigrid method.
J. Comput. Phys., November, 2023

Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Variational Data-Free Knowledge Distillation for Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Continuous Encoding for Overlapping Community Detection in Attributed Network.
IEEE Trans. Cybern., September, 2023

An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee.
SIAM J. Imaging Sci., September, 2023

MIMO Detector Selection With Federated Learning.
IEEE Trans. Wirel. Commun., July, 2023

Learning Adaptive Differential Evolution by Natural Evolution Strategies.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier].
IEEE Comput. Intell. Mag., February, 2023

Multichannel Frequency Estimation in Challenging Scenarios via Structured Matrix Embedding and Recovery (StruMER).
IEEE Trans. Signal Process., 2023

Generating Azimuth-Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields.
IEEE Trans. Geosci. Remote. Sens., 2023

MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging.
IEEE Trans. Computational Imaging, 2023

Meta-learning-based adversarial training for deep 3D face recognition on point clouds.
Pattern Recognit., 2023

Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks.
J. Mach. Learn. Res., 2023

Deep expectation-maximization network for unsupervised image segmentation and clustering.
Image Vis. Comput., 2023

Learning unified mutation operator for differential evolution by natural evolution strategies.
Inf. Sci., 2023

Optimal Transport-Guided Conditional Score-Based Diffusion Models.
CoRR, 2023

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning.
CoRR, 2023

Keypoint-Guided Optimal Transport.
CoRR, 2023

Improve Noise Tolerance of Robust Loss via Noise-Awareness.
CoRR, 2023

Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART).
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Optimal Transport-Guided Conditional Score-Based Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spectral Super-Resolution on the Unit Circle Via Gradient Descent.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Robust Online CSI Estimation in a Complex Environment.
IEEE Trans. Wirel. Commun., 2022

Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection.
IEEE Trans. Signal Process., 2022

Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach.
IEEE Trans. Signal Process., 2022

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Simultaneous Inversion for Reflectivity and Q Using Nonstationary Seismic Data With Deep-Learning-Based Decoupling.
IEEE Trans. Geosci. Remote. Sens., 2022

Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode Decomposition.
IEEE Trans. Geosci. Remote. Sens., 2022

Quantum-Enhanced Deep Learning-Based Lithology Interpretation From Well Logs.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion.
IEEE Trans. Geosci. Remote. Sens., 2022

A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution.
IEEE Trans. Geosci. Remote. Sens., 2022

PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2022

Graph Neural Network Encoding for Community Detection in Attribute Networks.
IEEE Trans. Cybern., 2022

MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Variational HyperAdam: A Meta-Learning Approach to Network Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep alternating non-negative matrix factorisation.
Knowl. Based Syst., 2022

Dynamic Neural Network for MIMO Detection.
IEEE J. Sel. Areas Commun., 2022

Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization.
Sci. China Inf. Sci., 2022

On the uniqueness of virtual substrate for metasurface in a dielectric half-space.
Sci. China Inf. Sci., 2022

Unified Mathematical Framework for Intelligent Transceiver Design.
Proceedings of the 96th Vehicular Technology Conference, 2022

LDP-IDS: Local Differential Privacy for Infinite Data Streams.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SalientVR: saliency-driven mobile 360-degree video streaming with gaze information.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2021

Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction.
IEEE Trans. Geosci. Remote. Sens., 2021

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient.
IEEE Trans. Evol. Comput., 2021

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning.
IEEE Trans. Cybern., 2021

Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Variational Bayes' Method for Functions with Applications to Some Inverse Problems.
SIAM J. Sci. Comput., 2021

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.
Neural Networks, 2021

OMMDE-Net: A Deep Learning-Based Global Optimization Method for Seismic Inversion.
IEEE Geosci. Remote. Sens. Lett., 2021

Robust online rain removal for surveillance videos with dynamic rains.
Knowl. Based Syst., 2021

A distribution independence based method for 3D face shape decomposition.
Comput. Vis. Image Underst., 2021

Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks.
CoRR, 2021

Adversarial Reweighting for Partial Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Training Networks in Null Space of Feature Covariance for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Mutate for Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Learning to Search for MIMO Detection.
IEEE Trans. Wirel. Commun., 2020

Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction.
IEEE Trans. Medical Imaging, 2020

Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN.
IEEE Trans. Medical Imaging, 2020

Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field.
IEEE Trans. Image Process., 2020

Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2020

Hyperspectral Image Classification With Convolutional Neural Network and Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2020

Learning Through Deterministic Assignment of Hidden Parameters.
IEEE Trans. Cybern., 2020

Improved Low-Rank Filtering of MR Spectroscopic Imaging Data With Pre-Learnt Subspace and Spatial Constraints.
IEEE Trans. Biomed. Eng., 2020

Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling.
Remote. Sens., 2020

Abnormality detection in retinal image by individualized background learning.
Pattern Recognit., 2020

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Amortized Variational Deep Q Network.
CoRR, 2020

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction.
CoRR, 2020

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize.
CoRR, 2020

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels.
CoRR, 2020

Learning to be Global Optimizer.
CoRR, 2020

Learning Adaptive Loss for Robust Learning with Noisy Labels.
CoRR, 2020

Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising.
Sci. China Inf. Sci., 2020

On Presuppositions of Machine Learning: A Meta Theory.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MEP-Based Channel Estimation under Complex Communication Environment.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020

Spherical Space Domain Adaptation With Robust Pseudo-Label Loss.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adaptive Structural Hyper-Parameter Configuration by Q-Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Model-Driven Deep Learning for Physical Layer Communications.
IEEE Wirel. Commun., 2019

An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization.
IEEE Trans. Medical Imaging, 2019

Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2019

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing.
IEEE Trans. Image Process., 2019

An Optimized Deep Network Representation of Multimutation Differential Evolution and its Application in Seismic Inversion.
IEEE Trans. Geosci. Remote. Sens., 2019

An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Remote. Sens., 2019

Variational Bayes' method for functions with applications to some inverse problems.
CoRR, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.
CoRR, 2019

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Bioinform., 2019

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Diffusion Distance for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An Active Deep Learning Approach for Minimally-Supervised Polsar Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Unsupervised PolSAR Image Factorization with Deep Convolutional Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Robust CSI Estimation Under Complex Communication Environment.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semi-Supervised Transfer Learning for Image Rain Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

HyperAdam: A Learnable Task-Adaptive Adam for Network Training.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network.
IEEE Trans. Image Process., 2018

Greedy Criterion in Orthogonal Greedy Learning.
IEEE Trans. Cybern., 2018

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.
IEEE Trans. Cybern., 2018

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Neural multi-atlas label fusion: Application to cardiac MR images.
Medical Image Anal., 2018

Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018

Diverse lesion detection from retinal images by subspace learning over normal samples.
Neurocomputing, 2018

Small Sample Learning in Big Data Era.
CoRR, 2018

Semi-supervised CNN for Single Image Rain Removal.
CoRR, 2018

Convergence of multi-block Bregman ADMM for nonconvex composite problems.
Sci. China Inf. Sci., 2018

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Margin Based PU Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design.
IEEE Trans. Vis. Comput. Graph., 2017

Shrinkage Degree in L<sub>2</sub>-Rescale Boosting for Regression.
IEEE Trans. Neural Networks Learn. Syst., 2017

Graph PCA Hashing for Similarity Search.
IEEE Trans. Multim., 2017

Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network.
IEEE Trans. Multim., 2017

Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization.
IEEE Trans. Medical Imaging, 2017

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
IEEE Trans. Medical Imaging, 2017

Unsupervised PolSAR Image Classification Using Discriminative Clustering.
IEEE Trans. Geosci. Remote. Sens., 2017

Generalization Analysis of Fredholm Kernel Regularized Classifiers.
Neural Comput., 2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.
Neurocomputing, 2017

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI.
CoRR, 2017

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning.
CoRR, 2017

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network.
CoRR, 2017

IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
Bioinform., 2017

Polsar image classification based on three-dimensional wavelet texture features and Markov random field.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm.
IEEE Trans. Signal Process., 2016

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.
IEEE Trans. Image Process., 2016

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016

Learning With ℓ<sub>1</sub>-Regularizer Based on Markov Resampling.
IEEE Trans. Cybern., 2016

An efficient optimization approach for a cardinality-constrained index tracking problem.
Optim. Methods Softw., 2016

Re-scale AdaBoost for attack detection in collaborative filtering recommender systems.
Knowl. Based Syst., 2016

Learning and approximation capabilities of orthogonal super greedy algorithm.
Knowl. Based Syst., 2016

Block-sparse compressed sensing with partially known signal support via non-convex minimisation.
IET Signal Process., 2016

Greedy Criterion in Orthogonal Greedy Learning.
CoRR, 2016

Low-rank Matrix Factorization under General Mixture Noise Distributions.
CoRR, 2016

Learning capability of the truncated greedy algorithm.
Sci. China Inf. Sci., 2016

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.
Bioinform., 2016

Deep ADMM-Net for Compressive Sensing MRI.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A multi-phase multiobjective approach based on decomposition for sparse reconstruction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing.
IEEE Trans. Signal Process., 2015

L<sub>1</sub>-Norm Low-Rank Matrix Factorization by Variational Bayesian Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

The Generalization Ability of Online SVM Classification Based on Markov Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2015

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I).
IEEE Trans. Neural Networks Learn. Syst., 2015

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II).
IEEE Trans. Neural Networks Learn. Syst., 2015

Color Image Denoising via Discriminatively Learned Iterative Shrinkage.
IEEE Trans. Image Process., 2015

The Generalization Ability of SVM Classification Based on Markov Sampling.
IEEE Trans. Cybern., 2015

Error Estimate for Spherical Neural Networks Interpolation.
Neural Process. Lett., 2015

Jackson-type inequalities for spherical neural networks with doubling weights.
Neural Networks, 2015

Video Primal Sketch: A Unified Middle-Level Representation for Video.
J. Math. Imaging Vis., 2015

On parallel multisplitting block iterative methods for linear systems arising in the numerical solution of Euler equations.
J. Comput. Appl. Math., 2015

A block coordinate descent approach for sparse principal component analysis.
Neurocomputing, 2015

Folded-concave penalization approaches to tensor completion.
Neurocomputing, 2015

Shrinkage degree in L<sub>2</sub>-re-scale boosting for regression.
CoRR, 2015

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition.
CoRR, 2015

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015

New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial].
IEEE Comput. Intell. Mag., 2015

New Trends of Learning in Computational Intelligence [Guest Editorial].
IEEE Comput. Intell. Mag., 2015

Robust low-rank tensor factorization by cyclic weighted median.
Sci. China Inf. Sci., 2015

A Novel Sparsity Measure for Tensor Recovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Low-Rank Matrix Factorization under General Mixture Noise Distributions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning a convolutional neural network for non-uniform motion blur removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Self-Paced Learning for Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image.
IEEE Trans. Vis. Comput. Graph., 2014

L<sub>1/2</sub> Regularization: Convergence of Iterative Half Thresholding Algorithm.
IEEE Trans. Signal Process., 2014

Enhancing Low-Rank Subspace Clustering by Manifold Regularization.
IEEE Trans. Image Process., 2014

Spatial and Spectral Image Fusion Using Sparse Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2014

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling.
IEEE Trans. Cybern., 2014

Quantitative Studies on Asymptotic Growth Behaviors of Trajectories of Nonlinear Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2014

Fast Compressed Sensing SAR Imaging Based on Approximated Observation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks.
IEEE Signal Process. Lett., 2014

A novel L1/2 regularization shooting method for Cox's proportional hazards model.
Soft Comput., 2014

Sparse solution of underdetermined linear equations via adaptively iterative thresholding.
Signal Process., 2014

Restricted p-isometry properties of nonconvex block-sparse compressed sensing.
Signal Process., 2014

Entanglement-assisted quantum codes achieving the quantum singleton bound but violating the quantum hamming bound.
Quantum Inf. Comput., 2014

Generalization performance of Gaussian kernels SVMC based on Markov sampling.
Neural Networks, 2014

Learning Rates of <i>l<sup>q</sup></i> Coefficient Regularization Learning with Gaussian Kernel.
Neural Comput., 2014

Almost optimal estimates for approximation and learning by radial basis function networks.
Mach. Learn., 2014

An active contour model and its algorithms with local and global Gaussian distribution fitting energies.
Inf. Sci., 2014

Two soft-thresholding based iterative algorithms for image deblurring.
Inf. Sci., 2014

Categorization Axioms for Classification and Clustering.
CoRR, 2014

Greedy metrics in orthogonal greedy learning.
CoRR, 2014

On the Optimal Solution of Weighted Nuclear Norm Minimization.
CoRR, 2014

Learning and approximation capability of orthogonal super greedy algorithm.
CoRR, 2014

Sparse K-Means with ℓ<sub>∞</sub>/ℓ<sub>0</sub> Penalty for High-Dimensional Data Clustering.
CoRR, 2014

Robust sparse principal component analysis.
Sci. China Inf. Sci., 2014

The number of spanning trees in a new lexicographic product of graphs.
Sci. China Inf. Sci., 2014

Hierarchical clustering driven by cognitive features.
Sci. China Inf. Sci., 2014

The L<sub>1/2</sub> regularization method for variable selection in the Cox model.
Appl. Soft Comput., 2014

Robust Principal Component Analysis with Complex Noise.
Proceedings of the 31th International Conference on Machine Learning, 2014

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation.
IEEE Trans. Veh. Technol., 2013

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2013

Learning Capability of Relaxed Greedy Algorithms.
IEEE Trans. Neural Networks Learn. Syst., 2013

Detecting Intrinsic Loops Underlying Data Manifold.
IEEE Trans. Knowl. Data Eng., 2013

Dynamic Extreme Learning Machine and Its Approximation Capability.
IEEE Trans. Cybern., 2013

Accelerated <i>L</i><sub>1/2</sub> regularization based SAR imaging via BCR and reduced Newton skills.
Signal Process., 2013

Hermitian dual containing BCH codes and construction of new quantum codes.
Quantum Inf. Comput., 2013

A heuristic hierarchical clustering based on multiple similarity measurements.
Pattern Recognit. Lett., 2013

Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds.
Pattern Recognit., 2013

Fast image deconvolution using closed-form thresholding formulas of regularization.
J. Vis. Commun. Image Represent., 2013

The strong convergence of visual classification method and its applications.
Inf. Sci., 2013

Poisson image fusion based on Markov random field fusion model.
Inf. Fusion, 2013

The UPPAM continuous-time RNN model and its critical dynamics study.
Neurocomputing, 2013

Learning dictionary from signals under global sparsity constraint.
Neurocomputing, 2013

Proportion-based robust optimization and team orienteering problem with interval data.
Eur. J. Oper. Res., 2013

On recovery of block-sparse signals via mixed l<sub>2</sub>/l<sub>q</sub> (0 < q ≤ 1) norm minimization.
EURASIP J. Adv. Signal Process., 2013

Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm.
Data Knowl. Eng., 2013

Learning rates of l<sup>q</sup> coefficient regularization learning with Gaussian kernel.
CoRR, 2013

Compressed Sensing SAR Imaging with Multilook Processing.
CoRR, 2013

The learning performance of support vector machine classification based on Markov sampling.
Sci. China Inf. Sci., 2013

Image restoration with shifting reflective boundary conditions.
Sci. China Inf. Sci., 2013

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
BMC Bioinform., 2013

Approximation by neural networks with scattered data.
Appl. Math. Comput., 2013

Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Global Convergence of Online BP Training With Dynamic Learning Rate.
IEEE Trans. Neural Networks Learn. Syst., 2012

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes.
IEEE Trans. Neural Networks Learn. Syst., 2012

L<sub>1/2</sub> Regularization: A Thresholding Representation Theory and a Fast Solver.
IEEE Trans. Neural Networks Learn. Syst., 2012

Improve robustness of sparse PCA by L<sub>1</sub>-norm maximization.
Pattern Recognit., 2012

A general radial quasi-interpolation operator on the sphere.
J. Approx. Theory, 2012

Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions.
Inf. Sci., 2012

Critical dynamics study on recurrent neural networks: Globally exponential stability.
Neurocomputing, 2012

Dictionary learning under global sparsity constraint
CoRR, 2012

A recursive divide-and-conquer approach for sparse principal component analysis.
CoRR, 2012

The essential ability of sparse reconstruction of different compressive sensing strategies.
Sci. China Inf. Sci., 2012

Sparse SAR imaging based on L 1/2 regularization.
Sci. China Inf. Sci., 2012

Estimation of convergence rate for multi-regression learning algorithm.
Sci. China Inf. Sci., 2012

Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method.
Sci. China Inf. Sci., 2012

Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains.
Adv. Comput. Math., 2012

Regularization Path for Linear Model via Net Method.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

On the Average Distance and Wiener Index of Cartesian Product Networks.
Proceedings of the Quantitative Logic and Soft Computing, 2012

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

SAR range ambiguity suppression via sparse regularization.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement.
IEEE Trans. Image Process., 2011

Essential rate for approximation by spherical neural networks.
Neural Networks, 2011

Neural networks and the best trigomometric approximation.
J. Syst. Sci. Complex., 2011

Incremental Alignment Manifold Learning.
J. Comput. Sci. Technol., 2011

Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality.
Int. J. Wavelets Multiresolution Inf. Process., 2011

Estimation of learning rate of least square algorithm via Jackson operator.
Neurocomputing, 2011

A new quality assessment criterion for nonlinear dimensionality reduction.
Neurocomputing, 2011

Optimal rate of the regularized regression learning algorithm.
Int. J. Comput. Math., 2011

Some results on the lexicographic product of vertex-transitive graphs.
Appl. Math. Lett., 2011

SAR imaging from compressed measurements based on L1/2 regularization.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Video Primal Sketch: A generic middle-level representation of video.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Image Inpainting by Patch Propagation Using Patch Sparsity.
IEEE Trans. Image Process., 2010

Scale selection for anisotropic diffusion filter by Markov random field model.
Pattern Recognit., 2010

New study on neural networks: the essential order of approximation.
Neural Networks, 2010

Constructive approximate interpolation by neural networks in the metric space.
Math. Comput. Model., 2010

On the P-critical dynamics analysis of projection recurrent neural networks.
Neurocomputing, 2010

Approximation capability of interpolation neural networks.
Neurocomputing, 2010

<i>L</i><sub>1/2</sub> regularization.
Sci. China Inf. Sci., 2010

2009
Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2009

When Does Online BP Training Converge?
IEEE Trans. Neural Networks, 2009

The generalization performance of ERM algorithm with strongly mixing observations.
Mach. Learn., 2009

Learning from uniformly ergodic Markov chains.
J. Complex., 2009

A critical global convergence analysis of recurrent neural networks with general projection mappings.
Neurocomputing, 2009

On [[n,n-4,3]]<sub>q</sub> Quantum MDS Codes for odd prime power q
CoRR, 2009

Lower estimation of approximation rate for neural networks.
Sci. China Ser. F Inf. Sci., 2009

2008
Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold.
IEEE Trans. Syst. Man Cybern. Part B, 2008

On The Classification of Binary Optimal Self-Orthogonal Codes.
IEEE Trans. Inf. Theory, 2008

Standard Forms of Stabilizer and Normalizer Matrices for Additive Quantum Codes.
IEEE Trans. Inf. Theory, 2008

Improving geodesic distance estimation based on locally linear assumption.
Pattern Recognit. Lett., 2008

Latent semantic analysis for text categorization using neural network.
Knowl. Based Syst., 2008

A comparative study for content-based dynamic spam classification using four machine learning algorithms.
Knowl. Based Syst., 2008

The essential order of approximation for Suzuki's neural networks.
Neurocomputing, 2008

The estimate for approximation error of neural networks: A constructive approach.
Neurocomputing, 2008

Inequalities and solution of an operator equation.
Appl. Math. Lett., 2008

An Improvement to Ant Colony Optimization Heuristic.
Proceedings of the Advances in Neural Networks, 2008

Data Mining Technologies Inspired from Visual Principle.
Proceedings of the Intelligent Information Processing IV, 2008

Image super-resolution using gradient profile prior.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Quantitative Characterizations of Exponential Convergence Property of Nonlinear Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2007

On Characterizations of Exponential Stability of Nonlinear Discrete Dynamical Systems on Bounded Regions.
IEEE Trans. Autom. Control., 2007

Transformation of rough set models.
Knowl. Based Syst., 2007

A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms.
Appl. Math. Comput., 2007

The essential order of simultaneous approximation for neural networks.
Appl. Math. Comput., 2007

Constructive Trigonometric Function Approximation of Neural Networks.
Proceedings of the Third International Conference on Semantics, 2007

New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings.
Proceedings of the Advances in Neural Networks, 2007

Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding.
Proceedings of the Advances in Neural Networks, 2007

Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Immunity diversity based multi-agent intrusion detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006

The essential order of approximation for nearly exponential type neural networks.
Sci. China Ser. F Inf. Sci., 2006

Approximation Bound of Mixture Networks in <i>L</i><sub><i>omega</i></sub><sup><i>p</i></sup> Spaces.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Integral Transform and Its Application to Neural Network Approximation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A New Pre-processing Method for Regression.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A critical analysis on global convergence of Hopfield-type neural networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

Scalable model-based cluster analysis using clustering features.
Pattern Recognit., 2005

Simultaneous L<sup>p</sup>-approximation order for neural networks.
Neural Networks, 2005

Variable Programming: A Generalized Minimax Problem. Part II: Algorithms.
Comput. Optim. Appl., 2005

Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory.
Comput. Optim. Appl., 2005

A New Approach for Classification: Visual Simulation Point of View.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Generalization and Property Analysis of GENET.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Pointwise Approximation for Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
A comparative study of two modeling approaches in neural networks.
Neural Networks, 2004

A heuristic training for support vector regression.
Neurocomputing, 2004

An expanding self-organizing neural network for the traveling salesman problem.
Neurocomputing, 2004

Rough Set Models on Two universes.
Int. J. Gen. Syst., 2004

Strong fuzzy compact sets and ultra-fuzzy compact sets in L-topological spaces.
Fuzzy Sets Syst., 2004

The essential order of approximation for neural networks.
Sci. China Ser. F Inf. Sci., 2004

Approximation Bounds by Neural Networks in L<sup>p</sup><sub>omega</sub>.
Proceedings of the Advances in Neural Networks, 2004

2003
A reference model approach to stability analysis of neural networks.
IEEE Trans. Syst. Man Cybern. Part B, 2003

An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem.
IEEE Trans. Syst. Man Cybern. Part B, 2003

Determination of the spread parameter in the Gaussian kernel for classification and regression.
Neurocomputing, 2003

Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs.
Appl. Math. Comput., 2003

2002
A new approach to stability of neural networks with time-varying delays.
Neural Networks, 2002

Inclusion degree: a perspective on measures for rough set data analysis.
Inf. Sci., 2002

The Algorithm on Knowledge Reduction in Incomplete Information Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002

An automata network for performing combinatorial optimization.
Neurocomputing, 2002

2001
A new data processing method based on a biological model of the compound eye: direction quantization representation.
IEEE Trans. Syst. Man Cybern. Part A, 2001

Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks.
IEEE Trans. Neural Networks, 2001

A new model of simulated evolutionary computation-convergence analysis and specifications.
IEEE Trans. Evol. Comput., 2001

2000
Clustering by Scale-Space Filtering.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Characterizations of minimal T3 L-fuzzy topological spaces.
Inf. Sci., 2000

1998
Optimal neural network algorithm for on-line string matching.
IEEE Trans. Syst. Man Cybern. Part B, 1998

A genetic algorithm for the multiple destination routing problems.
IEEE Trans. Evol. Comput., 1998

The optimal encodings for biased association in linear associative memories.
Neural Networks, 1998

An approximate algorithm for computing multidimensional convex hulls.
Appl. Math. Comput., 1998

1997
Neural networks for convex hull computation.
IEEE Trans. Neural Networks, 1997

Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis.
IEEE Trans. Neural Networks, 1997

1996
Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks.
IEEE Trans. Neural Networks, 1996

A Decomposition Principle for Complexity Reduction of Artificial Neural Networks.
Neural Networks, 1996

Asymmetric Hopfield-type networks: Theory and applications.
Neural Networks, 1996

The Heuristics for the Constrained Multicast Routing.
Proceedings of the Concurrency and Parallelism, 1996

1995
A competitive associative memory model and its dynamics.
IEEE Trans. Neural Networks, 1995

Multiple-Valued Feedback and Recurrent Correlation Neural Networks.
Neural Comput. Appl., 1995

The optimal ball algorithm for nonlinear equations of quasi-strongly monotone operators.
Int. J. Comput. Math., 1995

1994
Asymmetric Bidirectional Associative Memories.
IEEE Trans. Syst. Man Cybern. Syst., 1994

1992
A comparison of point and ball iterations in the contractive mapping case.
Computing, 1992

1985
Generalized Theory and Some Specializations of the Region Contraction Algorithm I - Ball Operation.
Proceedings of the Interval Mathemantics 1985: Proceedings of the International Symposium, 1985


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