Haizhang Zhang

Orcid: 0000-0002-8241-3145

According to our database1, Haizhang Zhang authored at least 34 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Tensor Approach for Uncoupled Multiview Clustering.
IEEE Trans. Cybern., February, 2024

Convergence of deep ReLU networks.
Neurocomputing, February, 2024

2023
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths.
CoRR, 2023

2022
Convergence of deep convolutional neural networks.
Neural Networks, 2022

Dual Information Enhanced Multi-view Attributed Graph Clustering.
CoRR, 2022

Convergence Analysis of Deep Residual Networks.
CoRR, 2022

2021
Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm.
J. Complex., 2021

Learning rates for multi-task regularization networks.
Neurocomputing, 2021

Exponential Approximation of Band-limited Signals from Nonuniform Sampling.
CoRR, 2021

2019
Sharp exponential bounds for the Gaussian regularized Whittaker-Kotelnikov-Shannon sampling series.
J. Approx. Theory, 2019

Statistical margin error bounds for <i>L</i><sub>1</sub>-norm support vector machines.
Neurocomputing, 2019

On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions.
CoRR, 2019

2017
Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces.
Neural Comput., 2017

2016
Optimal sampling points in reproducing kernel Hilbert spaces.
J. Complex., 2016

Convergence Analysis of the Gaussian Regularized Shannon Sampling Formula.
CoRR, 2016

2014
Exponential Approximation of Multivariate Bandlimited Functions from Average Oversampling.
CoRR, 2014

2013
Vector-valued reproducing kernel Banach spaces with applications to multi-task learning.
J. Complex., 2013

Exponential Approximation of Bandlimited Functions from Average Oversampling.
CoRR, 2013

2012
Refinement of Operator-valued Reproducing Kernels.
J. Mach. Learn. Res., 2012

Regularized learning in Banach spaces as an optimization problem: representer theorems.
J. Glob. Optim., 2012

Multidimensional Analytic Signals and the Bedrosian Identity
CoRR, 2012

2011
Reproducing Kernel Banach Spaces with the ℓ<sup>1</sup> Norm II: Error Analysis for Regularized Least Square Regression.
Neural Comput., 2011

On the Inclusion Relation of Reproducing Kernel Hilbert Spaces
CoRR, 2011

Reproducing Kernel Banach Spaces with the l1 Norm II: Error Analysis for Regularized Least Square Regression
CoRR, 2011

Reproducing Kernel Banach Spaces with the l1 Norm
CoRR, 2011

2010
Orthonormal bases with nonlinear phases.
Adv. Comput. Math., 2010

2009
Reproducing Kernel Banach Spaces for Machine Learning.
J. Mach. Learn. Res., 2009

Refinement of Reproducing Kernels.
J. Mach. Learn. Res., 2009

Optimal learning of bandlimited functions from localized sampling.
J. Complex., 2009

Recent Mathematical Developments on Empirical Mode Decomposition.
Adv. Data Sci. Adapt. Anal., 2009

Fast Nonlinear Fourier Expansions.
Adv. Data Sci. Adapt. Anal., 2009

2008
On translation invariant operators which preserve the B-spline recurrence.
Adv. Comput. Math., 2008

2007
Refinable Kernels.
J. Mach. Learn. Res., 2007

2006
Universal Kernels.
J. Mach. Learn. Res., 2006


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