2025
A Joint Multiscale Graph Attention and Classify-Driven Autoencoder Framework for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2025
Construction and approximation rate for feedforward neural network operators with sigmoidal functions.
J. Comput. Appl. Math., 2025
An enhanced network with parallel graph node diffusion and node similarity contrastive loss for hyperspectral image classification.
Digit. Signal Process., 2025
2024
A Multi-View Graph Contrastive Learning Framework for Defending Against Adversarial Attacks.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
Graph Regulation Network for Point Cloud Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Robust graph neural networks with Dirichlet regularization and residual connection.
Int. J. Mach. Learn. Cybern., September, 2024
SharpGConv: A Novel Graph Method With Plug-and-Play Sharpening Convolution for Point Cloud Registration.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
A new matrix representation for the Heisenberg group.
Int. J. Wavelets Multiresolution Inf. Process., July, 2024
Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement.
IEEE J. Biomed. Health Informatics, May, 2024
A Novel Local-Global Graph Convolutional Method for Point Cloud Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning.
Int. J. Mach. Learn. Cybern., April, 2024
A new self-augment CNN for 3D point cloud classification and segmentation.
Int. J. Mach. Learn. Cybern., March, 2024
A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation.
Medical Biol. Eng. Comput., February, 2024
A New Strategy of Graph Structure Attack: Multi-View Perturbation Candidate Edge Learning.
IEEE Trans. Netw. Sci. Eng., 2024
Node-personalized multi-graph convolutional networks for recommendation.
Neural Networks, 2024
Fast point completion network.
Neural Comput. Appl., 2024
A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk.
Knowl. Based Syst., 2024
An effective targeted label adversarial attack on graph neural networks by strategically allocating the attack budget.
Knowl. Based Syst., 2024
A novel Complementary Dual-aware Network for point cloud classification.
Eng. Appl. Artif. Intell., 2024
Hierarchical structural graph neural network with local relation enhancement for hyperspectral image classification.
Digit. Signal Process., 2024
Component-based Sketching for Deep ReLU Nets.
CoRR, 2024
Two-view point cloud registration network: feature and geometry.
Appl. Intell., 2024
2023
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
An iteration-based interactive attention network for 3D point cloud registration.
Neurocomputing, December, 2023
A new method for two-stage partial-to-partial 3D point cloud registration: multi-level interaction perception.
Int. J. Mach. Learn. Cybern., November, 2023
Two-stream coupling network with bidirectional interaction between structure and texture for image inpainting.
Expert Syst. Appl., November, 2023
Triplet teaching graph contrastive networks with self-evolving adaptive augmentation.
Pattern Recognit., October, 2023
Adaptive one-stage generative adversarial network for unpaired image super-resolution.
Neural Comput. Appl., October, 2023
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation.
Inf. Process. Manag., September, 2023
Multi-space and detail-supplemented attention network for point cloud completion.
Appl. Intell., June, 2023
Image Super-Resolution Using a Simple Transformer Without Pretraining.
Neural Process. Lett., April, 2023
A dynamic graph aggregation framework for 3D point cloud registration.
Eng. Appl. Artif. Intell., April, 2023
Are Graph Convolutional Networks With Random Weights Feasible?
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023
Revisiting graph neural networks from hybrid regularized graph signal reconstruction.
Neural Networks, 2023
Construction and approximation for a class of feedforward neural networks with sigmoidal function.
Int. J. Wavelets Multiresolution Inf. Process., 2023
A Global-and-Local Feature Fusion Network for Point Cloud Classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
Proceedings of the International Conference on Machine Learning, 2023
2022
A Novel Method for Hyperspectral Image Classification: Deep Network With Adaptive Graph Structure Integration.
IEEE Trans. Geosci. Remote. Sens., 2022
Feature-Grouped Network With Spectral-Spatial Connected Attention for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
A new rotation forest ensemble algorithm.
Int. J. Mach. Learn. Cybern., 2022
A novel method for image segmentation: two-stage decoding network with boundary attention.
Int. J. Mach. Learn. Cybern., 2022
A novel method for point cloud completion: Adaptive region shape fusion network.
Knowl. Based Syst., 2022
Decouple the object: Component-level semantic recognizer for point clouds classification.
Knowl. Based Syst., 2022
A universal rank approximation method for matrix completion.
Int. J. Wavelets Multiresolution Inf. Process., 2022
Deep multi-graph neural networks with attention fusion for recommendation.
Expert Syst. Appl., 2022
A novel multi-discriminator deep network for image segmentation.
Appl. Intell., 2022
Multi-view graph convolutional networks with attention mechanism.
Artif. Intell., 2022
2021
Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks.
IEEE Trans. Image Process., 2021
Deep neural network compression through interpretability-based filter pruning.
Pattern Recognit., 2021
A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer.
Neural Networks, 2021
A novel 3D shape classification algorithm: point-to-vector capsule network.
Neural Comput. Appl., 2021
An automatic 2D to 3D video conversion approach based on RGB-D images.
Multim. Tools Appl., 2021
Algorithms of matrix recovery based on truncated Schatten p-norm.
Int. J. Mach. Learn. Cybern., 2021
A stochastic age-structured HIV/AIDS model based on parameters estimation and its numerical calculation.
Math. Comput. Simul., 2021
Multiscale fused network with additive channel-spatial attention for image segmentation.
Knowl. Based Syst., 2021
3D mixed CNNs with edge-point feature learning.
Knowl. Based Syst., 2021
Densely connected network with improved pyramidal bottleneck residual units for super-resolution.
J. Vis. Commun. Image Represent., 2021
Consensus-based distributed learning for robust convex optimization with a scenario approach.
Concurr. Comput. Pract. Exp., 2021
Convolutional neural networks with hybrid weights for 3D point cloud classification.
Appl. Intell., 2021
2020
Improved dual-scale residual network for image super-resolution.
Neural Networks, 2020
Deconvolutional neural network for image super-resolution.
Neural Networks, 2020
Lightweight multi-scale residual networks with attention for image super-resolution.
Knowl. Based Syst., 2020
Cascaded dual-scale crossover network for hyperspectral image classification.
Knowl. Based Syst., 2020
Modeling a stochastic age-structured capital system with Poisson jumps using neural networks.
Inf. Sci., 2020
A Compact Recursive Dense Convolutional Network for image classification.
Neurocomputing, 2020
Deep hybrid dilated residual networks for hyperspectral image classification.
Neurocomputing, 2020
Adaptive sparse and dense hybrid representation with nonconvex optimization.
Frontiers Comput. Sci., 2020
A hybrid regularization approach for random vector functional-link networks.
Expert Syst. Appl., 2020
On the Approximation Lower Bound for Neural Nets with Random Weights.
CoRR, 2020
2019
A Hybrid Truncated Norm Regularization Method for Matrix Completion.
IEEE Trans. Image Process., 2019
A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2019
Super-resolution using neighbourhood regression with local structure prior.
Signal Process. Image Commun., 2019
Effective segmentations in white blood cell images using ϵ -SVR-based detection method.
Neural Comput. Appl., 2019
Adaptive algorithms for low-rank and sparse matrix recovery with truncated nuclear norm.
Int. J. Mach. Learn. Cybern., 2019
New architecture of deep recursive convolution networks for super-resolution.
Knowl. Based Syst., 2019
Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks.
J. Vis. Commun. Image Represent., 2019
Single image super-resolution via multi-scale residual channel attention network.
Neurocomputing, 2019
2018
Sparsity-Based Spatiotemporal Fusion via Adaptive Multi-Band Constraints.
Remote. Sens., 2018
Distributed support vector machine in master-slave mode.
Neural Networks, 2018
Robust object tracking using a sparse coadjutant observation model.
Multim. Tools Appl., 2018
A new method for image super-resolution with multi-channel constraints.
Knowl. Based Syst., 2018
多层前向人工神经网络图像分类算法 (Algorithm of Multi-layer Forward Artificial Neural Network for Image Classification).
计算机科学, 2018
Efficient saliency detection using convolutional neural networks with feature selection.
Inf. Sci., 2018
Image super-resolution via adaptive sparse representation and self-learning.
IET Comput. Vis., 2018
Building feedforward neural networks with random weights for large scale datasets.
Expert Syst. Appl., 2018
2017
Segmentation of White Blood Cells Image Using Adaptive Location and Iteration.
IEEE J. Biomed. Health Informatics, 2017
Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements.
IEEE Trans. Image Process., 2017
A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network.
Neural Networks, 2017
Recovering low-rank and sparse matrix based on the truncated nuclear norm.
Neural Networks, 2017
A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation.
Neural Comput. Appl., 2017
Automatic detection and classification of leukocytes using convolutional neural networks.
Medical Biol. Eng. Comput., 2017
Image super-resolution via adaptive sparse representation.
Knowl. Based Syst., 2017
Sparse representation for robust face recognition by dictionary decomposition.
J. Vis. Commun. Image Represent., 2017
Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary.
IET Image Process., 2017
Consensus-based Parallel Algorithm for Robust Convex Optimization with Scenario Approach in Colored Network.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
2016
Image Super-Resolution via Adaptive ℓ<sub>p</sub> (0<p<1) Regularization and Sparse Representation.
IEEE Trans. Neural Networks Learn. Syst., 2016
Pose and illumination variable face recognition via sparse representation and illumination dictionary.
Knowl. Based Syst., 2016
An iterative learning algorithm for feedforward neural networks with random weights.
Inf. Sci., 2016
Simultaneous approximation by spherical neural networks.
Neurocomputing, 2016
Scattered data approximation by neural networks operators.
Neurocomputing, 2016
2015
Image Interpolation via Low-Rank Matrix Completion and Recovery.
IEEE Trans. Circuits Syst. Video Technol., 2015
A local learning algorithm for random weights networks.
Knowl. Based Syst., 2015
A novel decorrelated neural network ensemble algorithm for face recognition.
Knowl. Based Syst., 2015
Learning Algorithm of Neural Networks on Spherical Cap.
J. Networks, 2015
A probabilistic learning algorithm for robust modeling using neural networks with random weights.
Inf. Sci., 2015
An adiabatic quantum algorithm and its application to DNA motif model discovery.
Inf. Sci., 2015
Quantum artificial neural networks with applications.
Inf. Sci., 2015
A New System of Face Recognition: Using Fuzziness and Sparsity.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
A novel face recognition method: Using random weight networks and quasi-singular value decomposition.
Neurocomputing, 2015
A novel algorithm of extended neural networks for image recognition.
Eng. Appl. Artif. Intell., 2015
Multiscale interpolation on the sphere: Convergence rate and inverse theorem.
Appl. Math. Comput., 2015
Approximation by network operators with logistic activation functions.
Appl. Math. Comput., 2015
Leukocyte image segmentation using feed forward neural networks with random weights.
Proceedings of the 11th International Conference on Natural Computation, 2015
2014
Extreme learning machine with errors in variables.
World Wide Web, 2014
Generalization Bounds of Regularization Algorithm with Gaussian Kernels.
Neural Process. Lett., 2014
Compressed classification learning with Markov chain samples.
Neural Networks, 2014
Human face recognition based on ensemble of polyharmonic extreme learning machine.
Neural Comput. Appl., 2014
A novel approach for fault diagnosis of induction motor with invariant character vectors.
Inf. Sci., 2014
Extended feed forward neural networks with random weights for face recognition.
Neurocomputing, 2014
Sparse algorithms of Random Weight Networks and applications.
Expert Syst. Appl., 2014
Diagnosis of fatigue crack growth with recursive random weight networks.
Comput. Electr. Eng., 2014
2013
Image classification based on effective extreme learning machine.
Neurocomputing, 2013
Approximation by neural networks with scattered data.
Appl. Math. Comput., 2013
A Reduction Algorithm for the Big Data in 3D Surface Reconstruction.
Proceedings of the IEEE International Conference on Systems, 2013
Fast Image Classification Algorithms Based on Random Weights Networks.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
Face Recognition Based on Random Weights Network and Quasi Singular Value Decomposition.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013
2012
Generalized extreme learning machine acting on a metric space.
Soft Comput., 2012
Learning Rates for Regularized Classifiers Using Trigonometric Polynomial Kernels.
Neural Process. Lett., 2012
Analysis of convergence performance of neural networks ranking algorithm.
Neural Networks, 2012
Learning rates of least-square regularized regression with strongly mixing observation.
Int. J. Mach. Learn. Cybern., 2012
Software reliability modeling with removed errors and compounded-decreased-rate.
Math. Comput. Model., 2012
Error estimates of quasi-interpolation and its derivatives.
J. Comput. Appl. Math., 2012
A general radial quasi-interpolation operator on the sphere.
J. Approx. Theory, 2012
Learning rates of support vector machine classifier for density level detection.
Neurocomputing, 2012
Estimation of convergence rate for multi-regression learning algorithm.
Sci. China Inf. Sci., 2012
The Diameter of Connected Domination Critical Graphs.
Ars Comb., 2012
2011
Essential rate for approximation by spherical neural networks.
Neural Networks, 2011
Estimation of learning rate of least square algorithm via Jackson operator.
Neurocomputing, 2011
Optimization approximation solution for regression problem based on extreme learning machine.
Neurocomputing, 2011
A study on effectiveness of extreme learning machine.
Neurocomputing, 2011
Optimal rate of the regularized regression learning algorithm.
Int. J. Comput. Math., 2011
The errors of simultaneous approximation of multivariate functions by neural networks.
Comput. Math. Appl., 2011
The Connected Domination and Tree Domination of P(n, k) for k = 1, 2, [n/2].
Ars Comb., 2011
A novel software reliability model with the decrease-rate of removing errors.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
Baby formula classification based on forth order polynomial smoothing support vector machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
2010
Constructive approximate interpolation by neural networks in the metric space.
Math. Comput. Model., 2010
The errors in simultaneous approximation by feed-forward neural networks.
Neurocomputing, 2010
Approximation capability of interpolation neural networks.
Neurocomputing, 2010
Global errors for approximate approximations with Gaussian kernels on compact intervals.
Appl. Math. Comput., 2010
Neural networks for interpolation of functionals on a Hilbert space.
Proceedings of the Sixth International Conference on Natural Computation, 2010
A new solution method to support vector machine based on arc smoothing function.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Exact and approximate interpolation for neural networks with single hidden layer.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Sixth order polynomial smoothing approximation solution to support vector machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
Canonical duality solution to support vector machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
Estimate human gene family number by improved k-means clustering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
Approximate interpolation by a class of neural networks in Lebesgue metric.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
Approximation by approximate interpolation neural networks with single hidden layer.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
The construction and approximation for feedforword neural networks with fixed weights.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
Adaptive control of singular nonlinear systems with convex/concave parametrization.
Proceedings of the 11th International Conference on Control, 2010
2009
The errors of approximation for feedforward neural networks in the L<sup>p</sup> metric.
Math. Comput. Model., 2009
The approximation operators with sigmoidal functions.
Comput. Math. Appl., 2009
Lower estimation of approximation rate for neural networks.
Sci. China Ser. F Inf. Sci., 2009
Face Image Recognition Combining Holistic and Local Features.
Proceedings of the Advances in Neural Networks, 2009
Marrow Cell Segmentation by Simulating Visual System.
Proceedings of the Fifth International Conference on Natural Computation, 2009
Segmentation of Blood and Bone Marrow Cell Images via Learning by Sampling.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009
Convergence rates for a class of neural networks with logarithmic function.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
2008
K-functionals and multivariate Bernstein polynomials.
J. Approx. Theory, 2008
The estimate for approximation error of neural networks: A constructive approach.
Neurocomputing, 2008
An Improvement to Ant Colony Optimization Heuristic.
Proceedings of the Advances in Neural Networks, 2008
2007
The Constructive Methods and Numerical Results for Approximation of Neural Networks.
Proceedings of the Third International Conference on Natural Computation, 2007
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
Derivatives of multidimensional Bernstein operators and smoothness.
J. Approx. Theory, 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
2004
The essential order of approximation for neural networks.
Sci. China Ser. F Inf. Sci., 2004
2003
Multivariate Stancu operators defined on a simplex.
Appl. Math. Comput., 2003