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Haizhang Zhang
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Journal Articles
- 2024
- [j25]Yuesheng Xu, Haizhang Zhang:
Convergence of deep ReLU networks. Neurocomputing 571: 127174 (2024) - [j24]Jia-Qi Lin, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang:
A Tensor Approach for Uncoupled Multiview Clustering. IEEE Trans. Cybern. 54(2): 1236-1249 (2024) - [j23]Yuesheng Xu, Haizhang Zhang:
Uniform Convergence of Deep Neural Networks With Lipschitz Continuous Activation Functions and Variable Widths. IEEE Trans. Inf. Theory 70(10): 7125-7142 (2024) - [j22]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): 8097-8110 (2024) - 2023
- [j21]Wentao Huang, Houbao Lu, Haizhang Zhang:
Hierarchical Kernels in Deep Kernel Learning. J. Mach. Learn. Res. 24: 391:1-391:30 (2023) - 2022
- [j20]Yuesheng Xu, Haizhang Zhang:
Convergence of deep convolutional neural networks. Neural Networks 153: 553-563 (2022) - 2021
- [j19]Jie Gui, Haizhang Zhang:
Learning rates for multi-task regularization networks. Neurocomputing 466: 243-251 (2021) - [j18]Rongrong Lin, Guohui Song, Haizhang Zhang:
Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm. J. Complex. 63: 101514 (2021) - 2019
- [j17]Liangzhi Chen, Haizhang Zhang:
Statistical margin error bounds for L1-norm support vector machines. Neurocomputing 339: 210-216 (2019) - [j16]Liang Chen, Haizhang Zhang:
Sharp exponential bounds for the Gaussian regularized Whittaker-Kotelnikov-Shannon sampling series. J. Approx. Theory 245: 73-82 (2019) - 2017
- [j15]Liangzhi Chen, Haizhang Zhang:
Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces. Neural Comput. 29(11) (2017) - 2016
- [j14]Rui Wang, Haizhang Zhang:
Optimal sampling points in reproducing kernel Hilbert spaces. J. Complex. 34: 129-151 (2016) - 2013
- [j13]Haizhang Zhang, Jun Zhang:
Vector-valued reproducing kernel Banach spaces with applications to multi-task learning. J. Complex. 29(2): 195-215 (2013) - 2012
- [j12]Haizhang Zhang, Jun Zhang:
Regularized learning in Banach spaces as an optimization problem: representer theorems. J. Glob. Optim. 54(2): 235-250 (2012) - [j11]Haizhang Zhang, Yuesheng Xu, Qinghui Zhang:
Refinement of Operator-valued Reproducing Kernels. J. Mach. Learn. Res. 13: 91-136 (2012) - 2011
- [j10]Guohui Song, Haizhang Zhang:
Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression. Neural Comput. 23(10): 2713-2729 (2011) - 2010
- [j9]Tao Qian, Rui Wang, Yuesheng Xu, Haizhang Zhang:
Orthonormal bases with nonlinear phases. Adv. Comput. Math. 33(1): 75-95 (2010) - 2009
- [j8]Rui Wang, Yuesheng Xu, Haizhang Zhang:
Fast Nonlinear Fourier Expansions. Adv. Data Sci. Adapt. Anal. 1(3): 373-405 (2009) - [j7]Yuesheng Xu, Haizhang Zhang:
Recent Mathematical Developments on Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 1(4): 681-702 (2009) - [j6]Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang:
Optimal learning of bandlimited functions from localized sampling. J. Complex. 25(2): 85-114 (2009) - [j5]Yuesheng Xu, Haizhang Zhang:
Refinement of Reproducing Kernels. J. Mach. Learn. Res. 10: 107-140 (2009) - [j4]Haizhang Zhang, Yuesheng Xu, Jun Zhang:
Reproducing Kernel Banach Spaces for Machine Learning. J. Mach. Learn. Res. 10: 2741-2775 (2009) - 2008
- [j3]Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang:
On translation invariant operators which preserve the B-spline recurrence. Adv. Comput. Math. 28(2): 157-169 (2008) - 2007
- [j2]Yuesheng Xu, Haizhang Zhang:
Refinable Kernels. J. Mach. Learn. Res. 8: 2083-2120 (2007) - 2006
- [j1]Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang:
Universal Kernels. J. Mach. Learn. Res. 7: 2651-2667 (2006)
Conference and Workshop Papers
- 2009
- [c1]Haizhang Zhang, Yuesheng Xu, Jun Zhang:
Reproducing kernel Banach spaces for machine learning. IJCNN 2009: 3520-3527
Informal and Other Publications
- 2024
- [i18]Liang Chen, Minqiang Xu, Haizhang Zhang:
A Random Integration Algorithm for High-dimensional Function Spaces. CoRR abs/2406.16627 (2024) - 2023
- [i17]Yuesheng Xu, Haizhang Zhang:
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths. CoRR abs/2306.01692 (2023) - 2022
- [i16]Wentao Huang, Haizhang Zhang:
Convergence Analysis of Deep Residual Networks. CoRR abs/2205.06571 (2022) - [i15]Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang:
Dual Information Enhanced Multi-view Attributed Graph Clustering. CoRR abs/2211.14987 (2022) - 2021
- [i14]Jie Gui, Haizhang Zhang:
Learning Rates for Multi-task Regularization Networks. CoRR abs/2104.00453 (2021) - [i13]Yunfei Yang, Haizhang Zhang:
Exponential Approximation of Band-limited Signals from Nonuniform Sampling. CoRR abs/2106.08647 (2021) - [i12]Yuesheng Xu, Haizhang Zhang:
Convergence of Deep ReLU Networks. CoRR abs/2107.12530 (2021) - [i11]Yuesheng Xu, Haizhang Zhang:
Convergence of Deep Convolutional Neural Networks. CoRR abs/2109.13542 (2021) - 2019
- [i10]Rongrong Lin, Haizhang Zhang, Jun Zhang:
On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions. CoRR abs/1901.01002 (2019) - 2016
- [i9]Rongrong Lin, Haizhang Zhang:
Convergence Analysis of the Gaussian Regularized Shannon Sampling Formula. CoRR abs/1601.01363 (2016) - 2014
- [i8]Wenjian Chen, Haizhang Zhang:
Exponential Approximation of Multivariate Bandlimited Functions from Average Oversampling. CoRR abs/1412.4265 (2014) - 2013
- [i7]Haizhang Zhang:
Exponential Approximation of Bandlimited Functions from Average Oversampling. CoRR abs/1311.4294 (2013) - 2012
- [i6]Rui Wang, Haizhang Zhang:
Optimal Sampling Points in Reproducing Kernel Hilbert Spaces. CoRR abs/1207.5871 (2012) - [i5]Haizhang Zhang:
Multidimensional Analytic Signals and the Bedrosian Identity. CoRR abs/1212.6602 (2012) - 2011
- [i4]Guohui Song, Haizhang Zhang, Fred J. Hickernell:
Reproducing Kernel Banach Spaces with the l1 Norm. CoRR abs/1101.4388 (2011) - [i3]Guohui Song, Haizhang Zhang:
Reproducing Kernel Banach Spaces with the l1 Norm II: Error Analysis for Regularized Least Square Regression. CoRR abs/1101.4439 (2011) - [i2]Yuesheng Xu, Haizhang Zhang, Qinghui Zhang:
Refinement of Operator-valued Reproducing Kernels. CoRR abs/1102.1324 (2011) - [i1]Haizhang Zhang, Liang Zhao:
On the Inclusion Relation of Reproducing Kernel Hilbert Spaces. CoRR abs/1106.4075 (2011)
Coauthor Index
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