Feilong Cao

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.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., April, 2024

A new self-augment CNN for 3D point cloud classification and segmentation.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., March, 2024

A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., February, 2024

Two-view point cloud registration network: feature and geometry.

[BibT_eX]

[DOI]

Appl. Intell., 2024

2023

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

An iteration-based interactive attention network for 3D point cloud registration.

[BibT_eX]

[DOI]

Neurocomputing, December, 2023

A new method for two-stage partial-to-partial 3D point cloud registration: multi-level interaction perception.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., November, 2023

Two-stream coupling network with bidirectional interaction between structure and texture for image inpainting.

[BibT_eX]

[DOI]

Expert Syst. Appl., November, 2023

Triplet teaching graph contrastive networks with self-evolving adaptive augmentation.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Adaptive one-stage generative adversarial network for unpaired image super-resolution.

[BibT_eX]

[DOI]

Neural Comput. Appl., October, 2023

A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation.

[BibT_eX]

[DOI]

Inf. Process. Manag., September, 2023

Multi-space and detail-supplemented attention network for point cloud completion.

[BibT_eX]

[DOI]

Appl. Intell., June, 2023

Image Super-Resolution Using a Simple Transformer Without Pretraining.

[BibT_eX]

[DOI]

Neural Process. Lett., April, 2023

A dynamic graph aggregation framework for 3D point cloud registration.

[BibT_eX]

[DOI]

Jiatong Shi

Chenglin Wen

Eng. Appl. Artif. Intell., April, 2023

Are Graph Convolutional Networks With Random Weights Feasible?

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Revisiting graph neural networks from hybrid regularized graph signal reconstruction.

[BibT_eX]

[DOI]

Neural Networks, 2023

A Global-and-Local Feature Fusion Network for Point Cloud Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

How Powerful are Shallow Neural Networks with Bandlimited Random Weights?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

A Novel Method for Hyperspectral Image Classification: Deep Network With Adaptive Graph Structure Integration.

[BibT_eX]

[DOI]

Bing Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Feature-Grouped Network With Spectral-Spatial Connected Attention for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Wenhui Guo

IEEE Trans. Geosci. Remote. Sens., 2022

A new rotation forest ensemble algorithm.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

A novel method for image segmentation: two-stage decoding network with boundary attention.

[BibT_eX]

[DOI]

Chengling Gao

Int. J. Mach. Learn. Cybern., 2022

A novel method for point cloud completion: Adaptive region shape fusion network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Decouple the object: Component-level semantic recognizer for point clouds classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A universal rank approximation method for matrix completion.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2022

Deep multi-graph neural networks with attention fusion for recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

A novel multi-discriminator deep network for image segmentation.

[BibT_eX]

[DOI]

Yi Wang

Appl. Intell., 2022

Multi-view graph convolutional networks with attention mechanism.

[BibT_eX]

[DOI]

Artif. Intell., 2022

2021

Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Deep neural network compression through interpretability-based filter pruning.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer.

[BibT_eX]

[DOI]

Yi Wang

Neural Networks, 2021

A novel 3D shape classification algorithm: point-to-vector capsule network.

[BibT_eX]

[DOI]

Zijin Du

Neural Comput. Appl., 2021

An automatic 2D to 3D video conversion approach based on RGB-D images.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Algorithms of matrix recovery based on truncated Schatten p-norm.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

A stochastic age-structured HIV/AIDS model based on parameters estimation and its numerical calculation.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2021

Multiscale fused network with additive channel-spatial attention for image segmentation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

3D mixed CNNs with edge-point feature learning.

[BibT_eX]

[DOI]

Zijin Du

Knowl. Based Syst., 2021

Densely connected network with improved pyramidal bottleneck residual units for super-resolution.

[BibT_eX]

[DOI]

Baijie Chen

J. Vis. Commun. Image Represent., 2021

Consensus-based distributed learning for robust convex optimization with a scenario approach.

[BibT_eX]

[DOI]

Fan Feng

Concurr. Comput. Pract. Exp., 2021

Convolutional neural networks with hybrid weights for 3D point cloud classification.

[BibT_eX]

[DOI]

Meng Hu

Appl. Intell., 2021

2020

Improved dual-scale residual network for image super-resolution.

[BibT_eX]

[DOI]

Huan Liu

Neural Networks, 2020

Deconvolutional neural network for image super-resolution.

[BibT_eX]

[DOI]

Kaixuan Yao

Jiye Liang

Neural Networks, 2020

Lightweight multi-scale residual networks with attention for image super-resolution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Cascaded dual-scale crossover network for hyperspectral image classification.

[BibT_eX]

[DOI]

Wenhui Guo

Knowl. Based Syst., 2020

Modeling a stochastic age-structured capital system with Poisson jumps using neural networks.

[BibT_eX]

[DOI]

Inf. Sci., 2020

A Compact Recursive Dense Convolutional Network for image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Deep hybrid dilated residual networks for hyperspectral image classification.

[BibT_eX]

[DOI]

Wenhui Guo

Neurocomputing, 2020

Adaptive sparse and dense hybrid representation with nonconvex optimization.

[BibT_eX]

[DOI]

Xuejun Wang

Wenjian Wang

Frontiers Comput. Sci., 2020

A hybrid regularization approach for random vector functional-link networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

On the Approximation Lower Bound for Neural Nets with Random Weights.

[BibT_eX]

[DOI]

CoRR, 2020

2019

A Hybrid Truncated Norm Regularization Method for Matrix Completion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Super-resolution using neighbourhood regression with local structure prior.

[BibT_eX]

[DOI]

Keqiuyin Li

Signal Process. Image Commun., 2019

Effective segmentations in white blood cell images using ϵ -SVR-based detection method.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Adaptive algorithms for low-rank and sparse matrix recovery with truncated nuclear norm.

[BibT_eX]

[DOI]

Wenchao Qian

Int. J. Mach. Learn. Cybern., 2019

New architecture of deep recursive convolution networks for super-resolution.

[BibT_eX]

[DOI]

Baijie Chen

Knowl. Based Syst., 2019

Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

Single image super-resolution via multi-scale residual channel attention network.

[BibT_eX]

[DOI]

Huan Liu

Neurocomputing, 2019

2018

Sparsity-Based Spatiotemporal Fusion via Adaptive Multi-Band Constraints.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Distributed support vector machine in master-slave mode.

[BibT_eX]

[DOI]

Qingguo Chen

Neural Networks, 2018

Robust object tracking using a sparse coadjutant observation model.

[BibT_eX]

[DOI]

Weidong Zhang

Multim. Tools Appl., 2018

A new method for image super-resolution with multi-channel constraints.

[BibT_eX]

[DOI]

Keqiuyin Li

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).

[BibT_eX]

[DOI]

Zhebin Gu

计算机科学, 2018

Efficient saliency detection using convolutional neural networks with feature selection.

[BibT_eX]

[DOI]

Yuehua Liu

Inf. Sci., 2018

Image super-resolution via adaptive sparse representation and self-learning.

[BibT_eX]

[DOI]

Tiantian Sun

IET Comput. Vis., 2018

Building feedforward neural networks with random weights for large scale datasets.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

2017

Segmentation of White Blood Cells Image Using Adaptive Location and Iteration.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2017

Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements.

[BibT_eX]

[DOI]

Jiao Wu

Juncheng Yin

IEEE Trans. Image Process., 2017

A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network.

[BibT_eX]

[DOI]

Neural Networks, 2017

Recovering low-rank and sparse matrix based on the truncated nuclear norm.

[BibT_eX]

[DOI]

Neural Networks, 2017

A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2017

Automatic detection and classification of leukocytes using convolutional neural networks.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2017

Image super-resolution via adaptive sparse representation.

[BibT_eX]

[DOI]

Heping Hu

Knowl. Based Syst., 2017

Sparse representation for robust face recognition by dictionary decomposition.

[BibT_eX]

[DOI]

Xinshan Feng

J. Vis. Commun. Image Represent., 2017

Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary.

[BibT_eX]

[DOI]

IET Image Process., 2017

Consensus-based Parallel Algorithm for Robust Convex Optimization with Scenario Approach in Colored Network.

[BibT_eX]

[DOI]

Fan Feng

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.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Pose and illumination variable face recognition via sparse representation and illumination dictionary.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

An iterative learning algorithm for feedforward neural networks with random weights.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Simultaneous approximation by spherical neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Scattered data approximation by neural networks operators.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Image Interpolation via Low-Rank Matrix Completion and Recovery.

[BibT_eX]

[DOI]

MiaoMiao Cai

Yuanpeng Tan

IEEE Trans. Circuits Syst. Video Technol., 2015

A local learning algorithm for random weights networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

A novel decorrelated neural network ensemble algorithm for face recognition.

[BibT_eX]

[DOI]

Kankan Dai

Knowl. Based Syst., 2015

Learning Algorithm of Neural Networks on Spherical Cap.

[BibT_eX]

[DOI]

Jinjie Hu

J. Networks, 2015

A probabilistic learning algorithm for robust modeling using neural networks with random weights.

[BibT_eX]

[DOI]

Inf. Sci., 2015

An adiabatic quantum algorithm and its application to DNA motif model discovery.

[BibT_eX]

[DOI]

Huaixin Cao

Inf. Sci., 2015

Quantum artificial neural networks with applications.

[BibT_eX]

[DOI]

Huaixin Cao

Inf. Sci., 2015

A New System of Face Recognition: Using Fuzziness and Sparsity.

[BibT_eX]

[DOI]

Yuanpeng Tan

MiaoMiao Cai

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

A novel face recognition method: Using random weight networks and quasi-singular value decomposition.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A novel algorithm of extended neural networks for image recognition.

[BibT_eX]

[DOI]

Kankan Dai

Eng. Appl. Artif. Intell., 2015

Multiscale interpolation on the sphere: Convergence rate and inverse theorem.

[BibT_eX]

[DOI]

Ming Li

Appl. Math. Comput., 2015

Approximation by network operators with logistic activation functions.

[BibT_eX]

[DOI]

Jinjie Hu

Appl. Math. Comput., 2015

Leukocyte image segmentation using feed forward neural networks with random weights.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Natural Computation, 2015

2014

Extreme learning machine with errors in variables.

[BibT_eX]

[DOI]

Zhihui Wang

World Wide Web, 2014

Generalization Bounds of Regularization Algorithm with Gaussian Kernels.

[BibT_eX]

[DOI]

Yufang Liu

Weiguo Zhang

Neural Process. Lett., 2014

Compressed classification learning with Markov chain samples.

[BibT_eX]

[DOI]

Neural Networks, 2014

Human face recognition based on ensemble of polyharmonic extreme learning machine.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

A novel approach for fault diagnosis of induction motor with invariant character vectors.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Extended feed forward neural networks with random weights for face recognition.

[BibT_eX]

[DOI]

Jing Lu

Neurocomputing, 2014

Sparse algorithms of Random Weight Networks and applications.

[BibT_eX]

[DOI]

Yuanpeng Tan

MiaoMiao Cai

Expert Syst. Appl., 2014

Diagnosis of fatigue crack growth with recursive random weight networks.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2014

2013

Image classification based on effective extreme learning machine.

[BibT_eX]

[DOI]

Bo Liu

Dong Sun Park

Neurocomputing, 2013

Approximation by neural networks with scattered data.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2013

A Reduction Algorithm for the Big Data in 3D Surface Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

Fast Image Classification Algorithms Based on Random Weights Networks.

[BibT_eX]

[DOI]

Bo Liu

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Face Recognition Based on Random Weights Network and Quasi Singular Value Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2012

Generalized extreme learning machine acting on a metric space.

[BibT_eX]

[DOI]

Soft Comput., 2012

Learning Rates for Regularized Classifiers Using Trigonometric Polynomial Kernels.

[BibT_eX]

[DOI]

Dan Wu

Joonwhoan Lee

Neural Process. Lett., 2012

Analysis of convergence performance of neural networks ranking algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2012

Learning rates of least-square regularized regression with strongly mixing observation.

[BibT_eX]

[DOI]

Canwei Yan

Int. J. Mach. Learn. Cybern., 2012

Software reliability modeling with removed errors and compounded-decreased-rate.

[BibT_eX]

[DOI]

Math. Comput. Model., 2012

Error estimates of quasi-interpolation and its derivatives.

[BibT_eX]

[DOI]

Jinjie Hu

J. Comput. Appl. Math., 2012

A general radial quasi-interpolation operator on the sphere.

[BibT_eX]

[DOI]

J. Approx. Theory, 2012

Learning rates of support vector machine classifier for density level detection.

[BibT_eX]

[DOI]

Xing Xing

Neurocomputing, 2012

Estimation of convergence rate for multi-regression learning algorithm.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2012

The Diameter of Connected Domination Critical Graphs.

[BibT_eX]

Chengye Zhao

Ars Comb., 2012

2011

Essential rate for approximation by spherical neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2011

Estimation of learning rate of least square algorithm via Jackson operator.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Optimization approximation solution for regression problem based on extreme learning machine.

[BibT_eX]

[DOI]

Yuguang Wang

Neurocomputing, 2011

A study on effectiveness of extreme learning machine.

[BibT_eX]

[DOI]

Yuguang Wang

Neurocomputing, 2011

Optimal rate of the regularized regression learning algorithm.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2011

The errors of simultaneous approximation of multivariate functions by neural networks.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2011

The Connected Domination and Tree Domination of P(n, k) for k = 1, 2, [n/2].

[BibT_eX]

Ars Comb., 2011

A novel software reliability model with the decrease-rate of removing errors.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Baby formula classification based on forth order polynomial smoothing support vector machine.

[BibT_eX]

[DOI]

Jing Lu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Constructive approximate interpolation by neural networks in the metric space.

[BibT_eX]

[DOI]

Math. Comput. Model., 2010

The errors in simultaneous approximation by feed-forward neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Approximation capability of interpolation neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Global errors for approximate approximations with Gaussian kernels on compact intervals.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2010

Neural networks for interpolation of functionals on a Hilbert space.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Natural Computation, 2010

A new solution method to support vector machine based on arc smoothing function.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Natural Computation, 2010

Exact and approximate interpolation for neural networks with single hidden layer.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Natural Computation, 2010

Sixth order polynomial smoothing approximation solution to support vector machine.

[BibT_eX]

[DOI]

Dongmei Pu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Canonical duality solution to support vector machine.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Estimate human gene family number by improved k-means clustering.

[BibT_eX]

[DOI]

Dongmei Pu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Approximate interpolation by a class of neural networks in Lebesgue metric.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Approximation by approximate interpolation neural networks with single hidden layer.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

The construction and approximation for feedforword neural networks with fixed weights.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Adaptive control of singular nonlinear systems with convex/concave parametrization.

[BibT_eX]

[DOI]

Qingxiang Fang

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.

[BibT_eX]

[DOI]

Rui Zhang

Math. Comput. Model., 2009

The approximation operators with sigmoidal functions.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2009

Lower estimation of approximation rate for neural networks.

[BibT_eX]

[DOI]

Sci. China Ser. F Inf. Sci., 2009

Face Image Recognition Combining Holistic and Local Features.

[BibT_eX]

[DOI]

Chen Pan

Proceedings of the Advances in Neural Networks, 2009

Marrow Cell Segmentation by Simulating Visual System.

[BibT_eX]

[DOI]

Chen Pan

Proceedings of the Fifth International Conference on Natural Computation, 2009

Segmentation of Blood and Bone Marrow Cell Images via Learning by Sampling.

[BibT_eX]

[DOI]

Chen Pan

Huijuan Lu

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

Convergence rates for a class of neural networks with logarithmic function.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008

K-functionals and multivariate Bernstein polynomials.

[BibT_eX]

[DOI]

J. Approx. Theory, 2008

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

[BibT_eX]

[DOI]

Neurocomputing, 2008

An Improvement to Ant Colony Optimization Heuristic.

[BibT_eX]

[DOI]

Youmei Li

Proceedings of the Advances in Neural Networks, 2008

2007

The Constructive Methods and Numerical Results for Approximation of Neural Networks.

[BibT_eX]

[DOI]

Ruyue Yang

Xing Pan

Proceedings of the Third International Conference on Natural Computation, 2007

2006

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Approx. Theory, 2005

Generalization and Property Analysis of GENET.

[BibT_eX]

[DOI]

Youmei Li

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.

[BibT_eX]

[DOI]

Youmei Li

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.

[BibT_eX]

[DOI]

Sci. China Ser. F Inf. Sci., 2004

2003

Multivariate Stancu operators defined on a simplex.

[BibT_eX]

[DOI]

Ruyue Yang

Jingyi Xiong