F. Cao

发表

The construction and approximation of neural networks operators with Gaussian activation function

Zhixiang Chen, F. Cao, 2013 .

Construction of feedforward neural networks with simple architectures and approximation abilities

Zhixiang Chen, F. Cao, 2020, Mathematical Methods in the Applied Sciences.

On a problem of Hornik

F. Cao, T. Xie, 2015 .

A convergence rate for approximate solutions of Fredholm integral equations of the first kind

Zongben Xu, Shaobo Lin, F. Cao, 2012 .

Projection type neural network and its convergence analysis

F. Cao, Youmei Li, 2006 .

Scattered data quasi‐interpolation on spheres

Zhixiang Chen, F. Cao, Ming Li, 2015 .

Spherical data fitting by multiscale moving least squares

F. Cao, Ming Li, 2015 .

Learning errors of linear programming support vector regression

F. Cao, Yubo Yuan, 2011 .

Image Super-Resolution via Adaptive $\ell _{p} (0

F. Cao, MiaoMiao Cai, Yuanpeng Tan, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Indefinite LQ Problem for Irregular Singular Systems

Jigen Peng, F. Cao, Q. Fang, 2014 .

Approximating and learning by Lipschitz kernel on the sphere

Changfeng Wang, F. Cao, 2014 .

An oracle inequality for regularized risk minimizers with strongly mixing observations

F. Cao, Xing Xing, 2013 .

Learning rates of regularized regression on the unit sphere

Zongben Xu, Shaobo Lin, F. Cao, 2013 .

Learning rates for multi-kernel linear programming classifiers

F. Cao, Xing Xing, 2011 .

Deep multi-graph neural networks with attention fusion for recommendation

Feilong Cao, Hailiang Ye, Yuzhi Song, 2021, Expert Systems with Applications.

The construction and approximation of some neural networks operators

Feilong Cao, Zhi-xiang Chen, Zhixiang Chen, 2012 .

The ridge function representation of polynomials and an application to neural networks

F. Cao, T. Xie, Ting Fan Xie, 2011 .

Lp Error Estimate of Approximation by a Feed-Forward Neural Network

F. Cao, Jianwei Zhao, 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

Interpolation and rates of convergence for a class of neural networks

Feilong Cao, Ze-Rong He, Yongquan Zhang, 2009 .

Characterization of Degree of Approximation for Neural Networks with One Hidden Layer

Zongben Xu, F. Cao, Man-Xi He, 2006, 2006 International Conference on Machine Learning and Cybernetics.

Cubature formula for spherical basis function networks

Zongben Xu, Shaobo Lin, F. Cao, 2012 .

Local uniform error estimates for spherical basis functions interpolation

F. Cao, Ming Li, 2014 .

Approximation theorems by positive linear operators in weighted spaces

F. Cao, Yufang Liu, 2011 .

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

F. Cao, Chenglin Wen, Hailiang Ye, 2022, Knowledge-Based Systems.

Estimates of learning rates of regularized regression via polyline functions

Joonwhoan Lee, F. Cao, Yongquan Zhang, 2012 .

Image Super-Resolution Using a Simple Transformer Without Pretraining

F. Cao, Huan Liu, Mingwen Shao, 2022, Neural Processing Letters.

Adaptive control of singular nonlinear systems with convex/concave parametrization

F. Cao, Q. Fang, 2010, ICARCV.

Optimal Disturbances Rejection Control for a Class of Weak Nonlinear Discrete Systems

Hong Zhang, Baolin Zhang, F. Cao, 2007, 2007 IEEE International Conference on Control and Automation.

Revisiting graph neural networks from hybrid regularized graph signal reconstruction

F. Cao, Ming Li, Hailiang Ye, 2022, Neural Networks.

A convergence rate for approximate solutions of Fredholm integral equations of the first kind

Zongben Xu, Shaobo Lin, F. Cao, 2011, Positivity.

SIMULTANEOUS APPROXIMATION WITH THE RAFU METHOD

F. Cao, 2016 .

Spherical scattered data quasi-interpolation by Gaussian radial basis function

Zhixiang Chen, F. Cao, 2015, Chinese Annals of Mathematics, Series B.

Cubature formula for spherical basis function networks

Zongben Xu, Shaobo Lin, F. Cao, 2012, Chinese Annals of Mathematics, Series B.

On general Bernstein and Nikol’skiî type inequalities

Shao-Bo Lin, Baolin Zhang, F. Cao, 2010 .

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

Feilong Cao, Baijie Chen, F. Cao, 2021, J. Vis. Commun. Image Represent..

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

Chenglin Wen, Qinghua Zhang, Feilong Cao, 2020, Knowl. Based Syst..

Improved dual-scale residual network for image super-resolution

Huan Liu, Feilong Cao, F. Cao, 2020, Neural Networks.

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

Li Wang, Feilong Cao, Qimin Zhang, 2020, Inf. Sci..

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

Huan Liu, Feilong Cao, F. Cao, 2019, Neurocomputing.

Scattered data approximation by neural networks operators

Feilong Cao, Zhixiang Chen, Zhixiang Chen, 2016, Neurocomputing.

Jianwei Zhao, Feilong Cao, Kankan Dai, 2015, Knowl. Based Syst..

A novel algorithm of extended neural networks for image recognition

Jianwei Zhao, Feilong Cao, Kankan Dai, 2015, Eng. Appl. Artif. Intell..

Approximation by neural networks with scattered data

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

A New System of Face Recognition: Using Fuzziness and Sparsity

Feilong Cao, Yuanpeng Tan, MiaoMiao Cai, 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Super-resolution using neighbourhood regression with local structure prior

Feilong Cao, Keqiuyin Li, F. Cao, 2019, Signal Process. Image Commun..

Learning rates of support vector machine classifier for density level detection

Jianwei Zhao, Feilong Cao, Xing Xing, 2012, Neurocomputing.

Adaptive sparse and dense hybrid representation with nonconvex optimization

Feilong Cao, Wenjian Wang, Xuejun Wang, 2020, Frontiers of Computer Science.

A Hybrid Truncated Norm Regularization Method for Matrix Completion

Hong Li, Feilong Cao, Liming Zhang, 2019, IEEE Transactions on Image Processing.

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

Yuan Yan Tang, Hong Li, Feilong Cao, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Sparsity-Based Spatiotemporal Fusion via Adaptive Multi-Band Constraints

Yee Leung, Feilong Cao, Jie Xue, 2018, Remote. Sens..

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

Zhenghua Zhou, Jianwei Zhao, Feilong Cao, 2017, Neural Networks.

Image super-resolution via adaptive sparse representation

Jianwei Zhao, Feilong Cao, Heping Hu, 2017, Knowl. Based Syst..

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

Zhenghua Zhou, Jianwei Zhao, Feilong Cao, 2017, Neural Computing and Applications.

Image Interpolation via Low-Rank Matrix Completion and Recovery

Feilong Cao, Yuanpeng Tan, MiaoMiao Cai, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Face Image Recognition Combining Holistic and Local Features

Feilong Cao, Chen Pan, F. Cao, 2009, ISNN.

The essential rate of approximation for radial function manifold

Feilong Cao, Shaobo Lin, Zongben Xu, 2011 .

3D mixed CNNs with edge-point feature learning

Feilong Cao, Hailiang Ye, Zijin Du, 2021, Knowl. Based Syst..

Essential rate for approximation by spherical neural networks

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

Analysis of convergence performance of neural networks ranking algorithm

Feilong Cao, Yongquan Zhang, F. Cao, 2012, Neural Networks.

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

Feilong Cao, Fan Feng, F. Cao, 2018, Concurr. Comput. Pract. Exp..

Simultaneous approximation by spherical neural networks

Feilong Cao, Shaobo Lin, Shaobo Lin, 2016, Neurocomputing.

Multiscale interpolation on the sphere: Convergence rate and inverse theorem

Feilong Cao, Ming Li, F. Cao, 2015, Appl. Math. Comput..

Spherical scattered data quasi-interpolation by Gaussian radial basis function

Feilong Cao, Zhixiang Chen, Zhixiang Chen, 2015 .

A general radial quasi-interpolation operator on the sphere

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

L p Error Estimates for Scattered Data Interpolation On Spheres

Feilong Cao, Shaobo Lin, Shaobo Lin, 2011 .

The capability of approximation for neural networks interpolant on the sphere

Feilong Cao, Shaobo Lin, Shaobo Lin, 2010 .

K-functionals and multivariate Bernstein polynomials

F. Cao, Chunmei Ding, 2008, J. Approx. Theory.

Automatic detection and classification of leukocytes using convolutional neural networks

F. Cao, Jianwei Zhao, Zhenghua Zhou, 2017, Medical & Biological Engineering & Computing.

Approximation by semigroup of spherical operators

F. Cao, Yuguang Wang, 2011, 1105.2393.

Generalized extreme learning machine acting on a metric space

Jianwei Zhao, Feilong Cao, Joonwhoan Lee, 2012, Soft Comput..

Sparse algorithms of Random Weight Networks and applications

Feilong Cao, Yuanpeng Tan, MiaoMiao Cai, 2014, Expert Syst. Appl..

Extended feed forward neural networks with random weights for face recognition

Feilong Cao, Jing Lu, Jianwei Zhao, 2014, Neurocomputing.

The construction and approximation of feedforward neural network with hyperbolic tangent function

Feilong Cao, Zhi-xiang Chen, Zhixiang Chen, 2015 .

Approximation by network operators with logistic activation functions

Feilong Cao, Zhixiang Chen, Jinjie Hu, 2015, Appl. Math. Comput..

The estimate for approximation error of spherical neural networks

Feilong Cao, Shaobo Lin, Huazhong Wang, 2011 .

The errors of simultaneous approximation of multivariate functions by neural networks

Feilong Cao, Tingfan Xie, F. Cao, 2011, Comput. Math. Appl..

Approximation capability of interpolation neural networks

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

The construction and approximation for feedforword neural networks with fixed weights

Feilong Cao, Tingfan Xie, F. Cao, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Approximate interpolation by a class of neural networks in Lebesgue metric

Feilong Cao, Yubo Yuan, Chunmei Ding, 2010, 2010 International Conference on Machine Learning and Cybernetics.

The errors in simultaneous approximation by feed-forward neural networks

Feilong Cao, Tingfan Xie, F. Cao, 2010, Neurocomputing.

Convergence rates for a class of neural networks with logarithmic function

Feilong Cao, Yubo Yuan, F. Cao, 2009, 2009 IEEE International Conference on Granular Computing.

Lower estimation of approximation rate for neural networks

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

The approximation operators with sigmoidal functions

Feilong Cao, Zhixiang Chen, Zhixiang Chen, 2009, Comput. Math. Appl..

The errors of approximation for feedforward neural networks in the Lp metric

Rui Zhang, Feilong Cao, Rui Zhang, 2009, Math. Comput. Model..

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.

Simultaneous Lp-approximation order for neural networks

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

Multi-view graph convolutional networks with attention mechanism

Jiye Liang, F. Cao, Ming Li, 2022, Artif. Intell..

Pointwise Approximation for Neural Networks

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

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

Dianhui Wang, Feilong Cao, Hailiang Ye, 2015, Inf. Sci..

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

Dianhui Wang, Feilong Cao, Huaixin Cao, 2015, Inf. Sci..

A study on effectiveness of extreme learning machine pdf

Feilong Cao, Yubo Yuan, Yuguang Wang, 2011, Neurocomputing.

Effective segmentations in white blood cell images using $$\epsilon $$ϵ-SVR-based detection method

Jianwei Zhao, Feilong Cao, Zhen Huang, 2019, Neural Comput. Appl..

The rate of approximation of Gaussian radial basis neural networks in continuous function space

F. Cao, T. Xie, Ting Fan Xie, 2013 .

Optimal rate of the regularized regression learning algorithm

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

Image classification based on effective extreme learning machine

Bo Liu, Feilong Cao, Dong Sun Park, 2013, Neurocomputing.

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

Feilong Cao, Hailiang Ye, Wenhui Guo, 2022, IEEE Transactions on Geoscience and Remote Sensing.

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

F. Cao, Hailiang Ye, Bing Yang, 2022, Applied intelligence (Boston).

A Novel Local–Global Graph Convolutional Method for Point Cloud Semantic Segmentation

F. Cao, Hailiang Ye, Zijin Du, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Deep hybrid dilated residual networks for hyperspectral image classification

Feilong Cao, Wenhui Guo, F. Cao, 2020, Neurocomputing.

Estimate human gene family number by improved k-means clustering

Feilong Cao, Yubo Yuan, Dongmei Pu, 2010, 2010 International Conference on Machine Learning and Cybernetics.

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

Chenglin Wen, Feilong Cao, Hailiang Ye, 2021, Knowl. Based Syst..

Segmentation of White Blood Cells Image Using Adaptive Location and Iteration

Feilong Cao, Jianwei Zhao, Jianjun Chu, 2017, IEEE Journal of Biomedical and Health Informatics.

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

Feilong Cao, Hailiang Ye, Zijin Du, 2021, Neural Computing and Applications.

A Compact Recursive Dense Convolutional Network for image classification

Zhenghua Zhou, Feilong Cao, Jianwei Zhao, 2020, Neurocomputing.

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

Feilong Cao, Wei He, Wei Qi Yan, 2021, IEEE Transactions on Image Processing.

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

F. Cao, Hailiang Ye, Bing Yang, 2022, Knowl. Based Syst..

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

Feilong Cao, Jing Lu, Yubo Yuan, 2011, 2011 International Conference on Machine Learning and Cybernetics.

Are Graph Convolutional Networks With Random Weights Feasible?

Xindong Wu, F. Cao, Ming Li, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deconvolutional neural network for image super-resolution

Jiye Liang, Feilong Cao, Kaixuan Yao, 2020, Neural Networks.

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

Feilong Cao, Hanxiong Yin, Baiyu Pan, 2021, Multimedia Tools and Applications.

Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements

Feilong Cao, Jiao Wu, Juncheng Yin, 2017, IEEE Transactions on Image Processing.

New heuristic algorithm for capacitated p-median proble

You-Mei Li, Fei-Long Cao, F. Cao, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

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

F. Cao, Hailiang Ye, Bing Yang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

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

Yi Wang, Feilong Cao, Hailiang Ye, 2021, Neural Networks.

Building feedforward neural networks with random weights for large scale datasets

Dianhui Wang, Feilong Cao, Hong Li, 2018, Expert Syst. Appl..

Singular LQ sub-optimal control problem for a class of discrete-time singular systems with time-delay

Baolin Zhang, F. Cao, Feifei Zheng, 2009, 2009 Chinese Control and Decision Conference.

Image Super-Resolution via Adaptive ℓp (0

Jianwei Zhao, Feilong Cao, Yuanpeng Tan, 2016, IEEE Trans. Neural Networks Learn. Syst..

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

Zhenghua Zhou, Jianwei Zhao, Feilong Cao, 2017, Neural Networks.

Cascaded dual-scale crossover network for hyperspectral image classification

Feilong Cao, Wenhui Guo, F. Cao, 2020, Knowl. Based Syst..

Quantum artificial neural networks with applications

Dianhui Wang, Feilong Cao, Huaixin Cao, 2015, Inf. Sci..

A novel multi-discriminator deep network for image segmentation

Yi Wang, Feilong Cao, Hailiang Ye, 2021, Appl. Intell..

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

Zhenghua Zhou, Jianwei Zhao, Feilong Cao, 2013, ICIC.

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

Yu Guang Wang, Sho Sonoda, Ming Li, 2020, ArXiv.

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

Feilong Cao, Hailiang Ye, Meng Hu, 2021, Applied Intelligence.

A STUDY ON THE ERROR OF DISTRIBUTED ALGORITHMS FOR BIG DATA CLASSIFICATION WITH SVM

F. Cao, Cheng Wang, 2017, The ANZIAM Journal.

Generalization Bounds of Regularization Algorithm with Gaussian Kernels

Weiguo Zhang, Feilong Cao, Yufang Liu, 2014, Neural Processing Letters.

Learning Rates for Regularized Classifiers Using Trigonometric Polynomial Kernels

Joonwhoan Lee, F. Cao, Dan Wu, 2012, Neural Processing Letters.

Estimation of convergence rate for multi-regression learning algorithm

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

Compressed classification learning with Markov chain samples

Feilong Cao, Tenghui Dai, Yongquan Zhang, 2014, Neural Networks.

Algorithms of matrix recovery based on truncated Schatten p-norm

Chenglin Wen, Feilong Cao, Wenchao Qian, 2021, International Journal of Machine Learning and Cybernetics.

Efficient saliency detection using convolutional neural networks with feature selection

Dianhui Wang, Feilong Cao, Yuehua Liu, 2018, Inf. Sci..

A hybrid regularization approach for random vector functional-link networks

Dianhui Wang, Feilong Cao, Hailiang Ye, 2020, Expert Syst. Appl..

Optimization approximation solution for regression problem based on extreme learning machine

Feilong Cao, Yubo Yuan, Yuguang Wang, 2011, Neurocomputing.

Human face recognition based on ensemble of polyharmonic extreme learning machine

F. Cao, Jianwei Zhao, Zhenghua Zhou, 2014, Neural Computing and Applications.

The strong converse inequality for de la Vallee Poussin means on the sphere

F. Cao, Ruyue Yang, Jingyi Xiong, 2011, 1105.4062.

Approximation by Jackson-type operator on the sphere ∗

F. Cao, Xiaofei Guo, 2010 .

The sparse factorization of nonnegative matrix in distributed network

Feilong Cao, Hailiang Ye, Xinhong Meng, 2021, Advances in Computational Intelligence.

A novel multi-discriminator deep network for image segmentation

F. Cao, Hailiang Ye, Yi Wang, 2021, Applied Intelligence.

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

Cheng Gao, F. Cao, Hailiang Ye, 2021, International Journal of Machine Learning and Cybernetics.

On multivariate Baskakov operator

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

Derivatives of multidimensional Bernstein operators and smoothness

Feilong Cao, F. Cao, 2005, J. Approx. Theory.

Deep neural network compression through interpretability-based filter pruning

Yee Leung, Jiye Liang, Feilong Cao, 2021, Pattern Recognit..

Exact and approximate interpolation for neural networks with single hidden layer

Feilong Cao, Yubo Yuan, Chunmei Ding, 2010, 2010 Sixth International Conference on Natural Computation.

Neural networks for interpolation of functionals on a Hilbert space

Jianwei Zhao, Feilong Cao, F. Cao, 2010, 2010 Sixth International Conference on Natural Computation.

Approximation by approximate interpolation neural networks with single hidden layer

Feilong Cao, Yubo Yuan, Chunmei Ding, 2010, 2010 International Conference on Machine Learning and Cybernetics.

The errors of approximation for feedforward neural networks in the Lp metric

Rui Zhang, F. Cao, 2009, Math. Comput. Model..

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

Zhenghua Zhou, Jianwei Zhao, Jing Lu, 2016, Knowl. Based Syst..

Global errors for approximate approximations with Gaussian kernels on compact intervals

Feilong Cao, Zhixiang Chen, Zhixiang Chen, 2010, Appl. Math. Comput..

Constructive approximate interpolation by neural networks in the metric space

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

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

Feilong Cao, Qimin Zhang, Xining Li, 2021, Math. Comput. Simul..

Robust object tracking using a sparse coadjutant observation model

F. Cao, Jianwei Zhao, Weidong Zhang, 2018, Multimedia tools and applications.

Adaptive sparse and dense hybrid representation with nonconvex optimization

Wenjian Wang, F. Cao, Xuejun Wang, 2020, Frontiers of Computer Science.

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

Feilong Cao, Wenchao Qian, F. Cao, 2018, International Journal of Machine Learning and Cybernetics.

Learning rates of regularized regression on the unit sphere

Zongben Xu, Shaobo Lin, F. Cao, 2012, Science China Mathematics.