Haizhang Zhang

According to our database, Haizhang Zhang authored at least 37 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uniform Convergence of Deep Neural Networks With Lipschitz Continuous Activation Functions and Variable Widths.

Yuesheng Xu, Haizhang Zhang

IEEE Trans. Inf. Theory, October, 2024

Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering.

Jia-Qi Lin, Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang

IEEE Trans. Neural Networks Learn. Syst., June, 2024

A Tensor Approach for Uncoupled Multiview Clustering.

Jia-Qi Lin, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang

IEEE Trans. Cybern., February, 2024

Convergence of deep ReLU networks.

Yuesheng Xu, Haizhang Zhang

Neurocomputing, February, 2024

A Random Integration Algorithm for High-dimensional Function Spaces.

Liang Chen, Minqiang Xu, Haizhang Zhang

CoRR, 2024

2023

Hierarchical Kernels in Deep Kernel Learning.

Wentao Huang, Houbao Lu, Haizhang Zhang

J. Mach. Learn. Res., 2023

2022

Convergence of deep convolutional neural networks.

Yuesheng Xu, Haizhang Zhang

Neural Networks, 2022

Dual Information Enhanced Multi-view Attributed Graph Clustering.

Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang

CoRR, 2022

Convergence Analysis of Deep Residual Networks.

Wentao Huang, Haizhang Zhang

CoRR, 2022

2021

Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm.

Rongrong Lin, Guohui Song, Haizhang Zhang

J. Complex., 2021

Learning rates for multi-task regularization networks.

Jie Gui, Haizhang Zhang

Neurocomputing, 2021

Exponential Approximation of Band-limited Signals from Nonuniform Sampling.

Yunfei Yang, Haizhang Zhang

CoRR, 2021

2019

Sharp exponential bounds for the Gaussian regularized Whittaker-Kotelnikov-Shannon sampling series.

Liang Chen, Haizhang Zhang

J. Approx. Theory, 2019

Statistical margin error bounds for <i>L</i>₁-norm support vector machines.

Liangzhi Chen, Haizhang Zhang

Neurocomputing, 2019

On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions.

Rongrong Lin, Haizhang Zhang, Jun Zhang

CoRR, 2019

2017

Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces.

Liangzhi Chen, Haizhang Zhang

Neural Comput., 2017

2016

Optimal sampling points in reproducing kernel Hilbert spaces.

Rui Wang, Haizhang Zhang

J. Complex., 2016

Convergence Analysis of the Gaussian Regularized Shannon Sampling Formula.

Rongrong Lin, Haizhang Zhang

CoRR, 2016

2014

Exponential Approximation of Multivariate Bandlimited Functions from Average Oversampling.

Wenjian Chen, Haizhang Zhang

CoRR, 2014

2013

Vector-valued reproducing kernel Banach spaces with applications to multi-task learning.

Haizhang Zhang, Jun Zhang

J. Complex., 2013

Exponential Approximation of Bandlimited Functions from Average Oversampling.

Haizhang Zhang

CoRR, 2013

2012

Refinement of Operator-valued Reproducing Kernels.

Haizhang Zhang, Yuesheng Xu, Qinghui Zhang

J. Mach. Learn. Res., 2012

Regularized learning in Banach spaces as an optimization problem: representer theorems.

Haizhang Zhang, Jun Zhang

J. Glob. Optim., 2012

Multidimensional Analytic Signals and the Bedrosian Identity

Haizhang Zhang

CoRR, 2012

2011

Reproducing Kernel Banach Spaces with the ℓ¹ Norm II: Error Analysis for Regularized Least Square Regression.

Guohui Song, Haizhang Zhang

Neural Comput., 2011

On the Inclusion Relation of Reproducing Kernel Hilbert Spaces

Haizhang Zhang, Liang Zhao

CoRR, 2011

Reproducing Kernel Banach Spaces with the l1 Norm II: Error Analysis for Regularized Least Square Regression

Guohui Song, Haizhang Zhang

CoRR, 2011

Reproducing Kernel Banach Spaces with the l1 Norm

Guohui Song, Haizhang Zhang, Fred J. Hickernell

CoRR, 2011

2010

Orthonormal bases with nonlinear phases.

Tao Qian, Rui Wang, Yuesheng Xu, Haizhang Zhang

Adv. Comput. Math., 2010

2009

Reproducing Kernel Banach Spaces for Machine Learning.

Haizhang Zhang, Yuesheng Xu, Jun Zhang

J. Mach. Learn. Res., 2009

Refinement of Reproducing Kernels.

Yuesheng Xu, Haizhang Zhang

J. Mach. Learn. Res., 2009

Optimal learning of bandlimited functions from localized sampling.

Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang

J. Complex., 2009

Recent Mathematical Developments on Empirical Mode Decomposition.

Yuesheng Xu, Haizhang Zhang

Adv. Data Sci. Adapt. Anal., 2009

Fast Nonlinear Fourier Expansions.

Rui Wang, Yuesheng Xu, Haizhang Zhang

Adv. Data Sci. Adapt. Anal., 2009

2008

On translation invariant operators which preserve the B-spline recurrence.

Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang

Adv. Comput. Math., 2008

2007

Refinable Kernels.

Yuesheng Xu, Haizhang Zhang

J. Mach. Learn. Res., 2007

2006

Universal Kernels.

Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang

J. Mach. Learn. Res., 2006