Haizhang Zhang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 21

Top Topics

Convergence Analysis

Reproducing Kernel

Top Venues

IEEE Trans. Cybern.

Publications

Yuesheng Xu, Haizhang Zhang
Convergence of deep ReLU networks. Neurocomputing 571 (2024)
Liang Chen, Minqiang Xu, Haizhang Zhang
A Random Integration Algorithm for High-dimensional Function Spaces. CoRR (2024)
Jia-Qi Lin, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
A Tensor Approach for Uncoupled Multiview Clustering. IEEE Trans. Cybern. 54 (2) (2024)
Jia-Qi Lin, Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Yuesheng Xu, Haizhang Zhang
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths. CoRR (2023)
Yuesheng Xu, Haizhang Zhang
Convergence of deep convolutional neural networks. Neural Networks 153 (2022)
Wentao Huang, Haizhang Zhang
Convergence Analysis of Deep Residual Networks. CoRR (2022)
Wentao Huang, Yuesheng Xu, Haizhang Zhang
Convergence of Deep Neural Networks with General Activation Functions and Pooling. CoRR (2022)
Jia-Qi Lin, Mansheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang
Dual Information Enhanced Multi-view Attributed Graph Clustering. CoRR (2022)
Yuesheng Xu, Haizhang Zhang
Convergence of Deep Convolutional Neural Networks. CoRR (2021)
Rongrong Lin, Guohui Song, Haizhang Zhang
Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm. J. Complex. 63 (2021)
Jie Gui, Haizhang Zhang
Learning Rates for Multi-task Regularization Networks. CoRR (2021)
Yuesheng Xu, Haizhang Zhang
Convergence of Deep ReLU Networks. CoRR (2021)
Yunfei Yang, Haizhang Zhang
Exponential Approximation of Band-limited Signals from Nonuniform Sampling. CoRR (2021)
Jie Gui, Haizhang Zhang
Learning rates for multi-task regularization networks. Neurocomputing 466 (2021)
Rongrong Lin, Haizhang Zhang, Jun Zhang
On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions. CoRR (2019)
Liangzhi Chen, Haizhang Zhang
-norm support vector machines. Neurocomputing 339 (2019)
Liang Chen, Haizhang Zhang
Sharp exponential bounds for the Gaussian regularized Whittaker-Kotelnikov-Shannon sampling series. J. Approx. Theory 245 (2019)
Liangzhi Chen, Haizhang Zhang
Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces. Neural Comput. 29 (11) (2017)
Rui Wang, Haizhang Zhang
Optimal sampling points in reproducing kernel Hilbert spaces. J. Complex. 34 (2016)
Rongrong Lin, Haizhang Zhang
Convergence Analysis of the Gaussian Regularized Shannon Sampling Formula. CoRR (2016)
Wenjian Chen, Haizhang Zhang
Exponential Approximation of Multivariate Bandlimited Functions from Average Oversampling. CoRR (2014)
Haizhang Zhang, Jun Zhang
Vector-valued reproducing kernel Banach spaces with applications to multi-task learning. J. Complex. 29 (2) (2013)
Haizhang Zhang
Exponential Approximation of Bandlimited Functions from Average Oversampling. CoRR (2013)
Rui Wang, Haizhang Zhang
Optimal Sampling Points in Reproducing Kernel Hilbert Spaces CoRR (2012)
Haizhang Zhang
Multidimensional Analytic Signals and the Bedrosian Identity CoRR (2012)
Haizhang Zhang, Yuesheng Xu, Qinghui Zhang
Refinement of Operator-valued Reproducing Kernels. J. Mach. Learn. Res. 13 (2012)
Haizhang Zhang, Jun Zhang
Regularized learning in Banach spaces as an optimization problem: representer theorems. J. Glob. Optim. 54 (2) (2012)
Haizhang Zhang, Liang Zhao
On the Inclusion Relation of Reproducing Kernel Hilbert Spaces CoRR (2011)
Guohui Song, Haizhang Zhang, Fred J. Hickernell
Reproducing Kernel Banach Spaces with the l1 Norm CoRR (2011)
Guohui Song, Haizhang Zhang
Reproducing Kernel Banach Spaces with the l1 Norm II: Error Analysis for Regularized Least Square Regression CoRR (2011)
Yuesheng Xu, Haizhang Zhang, Qinghui Zhang
Refinement of Operator-valued Reproducing Kernels CoRR (2011)
Guohui Song, Haizhang Zhang
Norm II: Error Analysis for Regularized Least Square Regression. Neural Comput. 23 (10) (2011)
Tao Qian, Rui Wang, Yuesheng Xu, Haizhang Zhang
Orthonormal bases with nonlinear phases. Adv. Comput. Math. 33 (1) (2010)
Yuesheng Xu, Haizhang Zhang
Recent Mathematical Developments on Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 1 (4) (2009)
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
Optimal learning of bandlimited functions from localized sampling. J. Complex. 25 (2) (2009)
Haizhang Zhang, Yuesheng Xu, Jun Zhang
Reproducing kernel Banach spaces for machine learning. IJCNN (2009)
Haizhang Zhang, Yuesheng Xu, Jun Zhang
Reproducing Kernel Banach Spaces for Machine Learning. J. Mach. Learn. Res. 10 (2009)
Yuesheng Xu, Haizhang Zhang
Refinement of Reproducing Kernels. J. Mach. Learn. Res. 10 (2009)
Rui Wang, Yuesheng Xu, Haizhang Zhang
Fast Nonlinear Fourier Expansions. Adv. Data Sci. Adapt. Anal. 1 (3) (2009)
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
On translation invariant operators which preserve the B-spline recurrence. Adv. Comput. Math. 28 (2) (2008)
Yuesheng Xu, Haizhang Zhang
Refinable Kernels. J. Mach. Learn. Res. 8 (2007)
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
Universal Kernels. J. Mach. Learn. Res. 7 (2006)