Peixin Ye

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 17

Top Topics

Matching Pursuit

Greedy Algorithm

Regularized Regression

Top Venues

Int. J. Wavelets Multiresolution Inf. Process.

J. Comput. Methods Sci. Eng.

Int. J. Comput. Math.

Publications

Wan Li, Peixin Ye
Sparse Signal Recovery via Rescaled Matching Pursuit. Axioms 13 (5) (2024)
Chunfang Shao, Xiujie Wei, Peixin Ye, Shuo Xing
Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery. Axioms 12 (4) (2023)
Hongcheng Huang, Peixin Ye, Min Hu, Jun Wu
A multi-point collaborative DDoS defense mechanism for IIoT environment. Digit. Commun. Networks 9 (2) (2023)
Wenhui Zhang, Peixin Ye, Shuo Xing
Optimality of the rescaled pure greedy learning algorithms. Int. J. Wavelets Multiresolution Inf. Process. 21 (2) (2023)
Chunfang Shao, Jincai Chang, Peixin Ye, Wenhui Zhang, Shuo Xing
Almost Optimality of the Orthogonal Super Greedy Algorithm for μ-Coherent Dictionaries. Axioms 11 (5) (2022)
Wenhui Zhang, Peixin Ye, Shuo Xing, Xu Xu
Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms. Axioms 11 (9) (2022)
Bing Jiang, Peixin Ye, Wenhui Zhang
Unified error estimate for weak biorthogonal Greedy algorithms. Int. J. Wavelets Multiresolution Inf. Process. 20 (5) (2022)
Bing Jiang, Peixin Ye
Efficiency of the weak Rescaled Pure Greedy Algorithm. Int. J. Wavelets Multiresolution Inf. Process. 19 (4) (2021)
Qin Guo, Peixin Ye
Error analysis of the moving least-squares regression learning algorithm with β-mixing and non-identical sampling. Int. J. Comput. Math. 97 (8) (2020)
Liqin Duan, Peixin Ye
Randomized approximation numbers on Besov classes with mixed smoothness. Int. J. Wavelets Multiresolution Inf. Process. 18 (4) (2020)
Qin Guo, Peixin Ye
Error analysis of the moving least-squares method with non-identical sampling. Int. J. Comput. Math. 96 (4) (2019)
Qin Guo, Peixin Ye, Binlei Cai
-Coefficient Regularized Regression With Non-i.i.d. Sampling. IEEE Access 6 (2018)
Qin Guo, Cheng Wang, Peixin Ye
Coefficient-based lq-regularized regression with indefinite kernels and unbounded sampling. J. Approx. Theory 236 (2018)
Qin Guo, Peixin Ye
-Regularized Regression Learning Algorithm With the Non-Identical and Dependent Samples. IEEE Access 6 (2018)
Huanxiang Liu, Baohuai Sheng, Peixin Ye
The improved learning rate for regularized regression with RKBSs. Int. J. Mach. Learn. Cybern. 8 (4) (2017)
Chunfang Shao, Peixin Ye
Almost optimality of orthogonal super greedy algorithms for incoherent dictionaries. Int. J. Wavelets Multiresolution Inf. Process. 15 (4) (2017)
Qin Guo, Peixin Ye
Coefficient-based regularized regression with dependent and unbounded sampling. Int. J. Wavelets Multiresolution Inf. Process. 14 (5) (2016)
Peixin Ye, Xiujie Wei
The efficiency of using Orthogonal Matching Pursuit in compressed sensing. J. Comput. Methods Sci. Eng. 15 (3) (2015)
Xiujie Wei, Peixin Ye
Improved bounds on restricted isometry constant for orthogonal multi matching pursuit. J. Comput. Methods Sci. Eng. 15 (4) (2015)
Baohuai Sheng, Daohong Xiang, Peixin Ye
Convergence rate of semi-supervised gradient learning algorithms. Int. J. Wavelets Multiresolution Inf. Process. 13 (4) (2015)
Jingfan Long, Xiujie Wei, Peixin Ye
Optimal error for Orthogonal Matching Pursuit for μ-coherent dictionaries. ICNC (2013)
Peixin Ye
Quadrature formula for some classes of analytic functions. EMEIT (2011)
Zhanjie Song, Peixin Ye
Inverse Estimates for Lupas-Baskakov Operators. J. Comput. 6 (12) (2011)
Vladimir N. Temlyakov, Mingrui Yang, Peixin Ye
Greedy approximation with regard to non-greedy bases. Adv. Comput. Math. 34 (3) (2011)
Sheng Zhang, Peixin Ye, Jingfan Long
Monte Carlo integration with small random bits. ICNC (2010)
Jingfan Long, Sheng Zhang, Peixin Ye
Convergence rate of quantum algorithm for multivariate approximation. ICNC (2010)
Peixin Ye
Quantum Approximation on Some Classes of Multivarite Functions. CSSE (1) (2008)
Peixin Ye
Quantum Complexity of the Approximation on the Classes B(Wrp([0, 1]d)) and B(Hrp([0, 1]d)). ICNC (3) (2008)
Peixin Ye, Qing He
Complexity of Functional Learning on Some Classes of Multivariate Functions. ICNC (3) (2008)
Peixin Ye, Xiaofei Hu
Optimal integration error on anisotropic classes for restricted Monte Carlo and quantum algorithms. J. Approx. Theory 150 (1) (2008)
Peixin Ye, Qing He
Restricted Monte Carlo Integration on Some Multivariate Functions. CSSE (1) (2008)
Peixin Ye
Lower Bound for Quantum Integration Error on Some Sobolev Classes. ICNC (3) (2008)
Peixin Ye, Zhiyong Zhao
An Adaptive Algorithm in m-Term Approximation for Some Multivariate Functions. CSSE (1) (2008)
Peixin Ye, Qing He
Quantum Integration Error on Some Classes of Multivariate Functions. ICIC (3) (2007)
Peixin Ye
Quantum Approximation Error on Some Sobolev Classes. ICNC (4) (2007)
Peixin Ye, Qing He
An Greedy-type Algorithm in m-term Approximation For Besov Class with Mixed Smoothness. ICNC (1) (2007)
Peixin Ye, Xiaofei Hu
Quantum Integration Error for Some Sobolev Classes. ICNC (2) (2006)
Peixin Ye
Computational complexity of the integration problem for anisotropic classes. Adv. Comput. Math. 23 (4) (2005)
Gensun Fang, Peixin Ye
Integration error for multivariate functions from anisotropic classes . J. Complex. 19 (4) (2003)
Gensun Fang, Peixin Ye
Probabilistic and average linear widths of Sobolev space with Gaussian measure. J. Complex. 19 (1) (2003)