Haizhang Zhang

46 papers B 1Journal 45

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dual Information Enhanced Multiview Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang
2025	J	`jnl`	Motif-aware curriculum learning for node classification. Neural Networks Xiaosha Cai, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
2024	J	`jnl`	A Random Integration Algorithm for High-dimensional Function Spaces. CoRR Liang Chen, Minqiang Xu, Haizhang Zhang
2024	J	`jnl`	A Tensor Approach for Uncoupled Multiview Clustering. IEEE Trans. Cybern. Jia-Qi Lin, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
2024	J	`jnl`	Convergence of deep ReLU networks. Neurocomputing Yuesheng Xu, Haizhang Zhang
2024	J	`jnl`	Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Jia-Qi Lin, Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
2024	J	`jnl`	Uniform Convergence of Deep Neural Networks With Lipschitz Continuous Activation Functions and Variable Widths. IEEE Trans. Inf. Theory Yuesheng Xu, Haizhang Zhang
2023	J	`jnl`	Hierarchical Kernels in Deep Kernel Learning. J. Mach. Learn. Res. Wentao Huang, Houbao Lu, Haizhang Zhang
2023	J	`jnl`	Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths. CoRR Yuesheng Xu, Haizhang Zhang
2022	J	`jnl`	Convergence Analysis of Deep Residual Networks. CoRR Wentao Huang, Haizhang Zhang
2022	J	`jnl`	Convergence of deep convolutional neural networks. Neural Networks Yuesheng Xu, Haizhang Zhang
2022	J	`jnl`	Dual Information Enhanced Multi-view Attributed Graph Clustering. CoRR Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang
2021	J	`jnl`	Convergence of Deep Convolutional Neural Networks. CoRR Yuesheng Xu, Haizhang Zhang
2021	J	`jnl`	Convergence of Deep ReLU Networks. CoRR Yuesheng Xu, Haizhang Zhang
2021	J	`jnl`	Exponential Approximation of Band-limited Signals from Nonuniform Sampling. CoRR Yunfei Yang, Haizhang Zhang
2021	J	`jnl`	Learning Rates for Multi-task Regularization Networks. CoRR Jie Gui, Haizhang Zhang
2021	J	`jnl`	Learning rates for multi-task regularization networks. Neurocomputing Jie Gui, Haizhang Zhang
2021	J	`jnl`	Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm. J. Complex. Rongrong Lin, Guohui Song, Haizhang Zhang
2019	J	`jnl`	On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions. CoRR Rongrong Lin, Haizhang Zhang, Jun Zhang
2019	J	`jnl`	Sharp exponential bounds for the Gaussian regularized Whittaker-Kotelnikov-Shannon sampling series. J. Approx. Theory Liang Chen, Haizhang Zhang
2019	J	`jnl`	Statistical margin error bounds for Neurocomputing Liangzhi Chen, Haizhang Zhang
2017	J	`jnl`	Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces. Neural Comput. Liangzhi Chen, Haizhang Zhang
2016	J	`jnl`	Convergence Analysis of the Gaussian Regularized Shannon Sampling Formula. CoRR Rongrong Lin, Haizhang Zhang
2016	J	`jnl`	Optimal sampling points in reproducing kernel Hilbert spaces. J. Complex. Rui Wang, Haizhang Zhang
2014	J	`jnl`	Exponential Approximation of Multivariate Bandlimited Functions from Average Oversampling. CoRR Wenjian Chen, Haizhang Zhang
2013	J	`jnl`	Exponential Approximation of Bandlimited Functions from Average Oversampling. CoRR Haizhang Zhang
2013	J	`jnl`	Vector-valued reproducing kernel Banach spaces with applications to multi-task learning. J. Complex. Haizhang Zhang, Jun Zhang
2012	J	`jnl`	Multidimensional Analytic Signals and the Bedrosian Identity CoRR Haizhang Zhang
2012	J	`jnl`	Optimal Sampling Points in Reproducing Kernel Hilbert Spaces CoRR Rui Wang, Haizhang Zhang
2012	J	`jnl`	Refinement of Operator-valued Reproducing Kernels. J. Mach. Learn. Res. Haizhang Zhang, Yuesheng Xu, Qinghui Zhang
2012	J	`jnl`	Regularized learning in Banach spaces as an optimization problem: representer theorems. J. Glob. Optim. Haizhang Zhang, Jun Zhang
2011	J	`jnl`	On the Inclusion Relation of Reproducing Kernel Hilbert Spaces CoRR Haizhang Zhang, Liang Zhao
2011	J	`jnl`	Refinement of Operator-valued Reproducing Kernels CoRR Yuesheng Xu, Haizhang Zhang, Qinghui Zhang
2011	J	`jnl`	Reproducing Kernel Banach Spaces with the l1 Norm CoRR Guohui Song, Haizhang Zhang, Fred J. Hickernell
2011	J	`jnl`	Reproducing Kernel Banach Spaces with the l1 Norm II: Error Analysis for Regularized Least Square Regression CoRR Guohui Song, Haizhang Zhang
2011	J	`jnl`	Reproducing Kernel Banach Spaces with the ℓ Neural Comput. Guohui Song, Haizhang Zhang
2010	J	`jnl`	Orthonormal bases with nonlinear phases. Adv. Comput. Math. Tao Qian, Rui Wang, Yuesheng Xu, Haizhang Zhang
2009	J	`jnl`	Fast Nonlinear Fourier Expansions. Adv. Data Sci. Adapt. Anal. Rui Wang, Yuesheng Xu, Haizhang Zhang
2009	J	`jnl`	Optimal learning of bandlimited functions from localized sampling. J. Complex. Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
2009	J	`jnl`	Recent Mathematical Developments on Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. Yuesheng Xu, Haizhang Zhang
2009	J	`jnl`	Refinement of Reproducing Kernels. J. Mach. Learn. Res. Yuesheng Xu, Haizhang Zhang
2009	J	`jnl`	Reproducing Kernel Banach Spaces for Machine Learning. J. Mach. Learn. Res. Haizhang Zhang, Yuesheng Xu, Jun Zhang
2009	B	`conf`	Reproducing kernel Banach spaces for machine learning. IJCNN Haizhang Zhang, Yuesheng Xu, Jun Zhang
2008	J	`jnl`	On translation invariant operators which preserve the B-spline recurrence. Adv. Comput. Math. Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
2007	J	`jnl`	Refinable Kernels. J. Mach. Learn. Res. Yuesheng Xu, Haizhang Zhang
2006	J	`jnl`	Universal Kernels. J. Mach. Learn. Res. Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang