Peixin Ye - RankMe

46 papers Misc 3Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deterministic error analysis of kernel regularized regression for spherical scattered data. Int. J. Wavelets Multiresolution Inf. Process. Wan Li, Yeli Niu, Baohuai Sheng, Peixin Ye
2025	J	`jnl`	Error bounds of Approximate Weak Rescaled Pure Greedy Algorithms. Int. J. Wavelets Multiresolution Inf. Process. Bing Jiang, Peixin Ye, Wan Li, Man Lu
2025	J	`jnl`	Optimal restricted Monte Carlo integration on generalized Hölder classes. J. Appl. Math. Comput. Wan Li, Man Lu, Peixin Ye
2025	J	`jnl`	Stability of Weak Rescaled Pure Greedy Algorithms. Axioms Wan Li, Man Lu, Peixin Ye, Wenhui Zhang
2024	J	`jnl`	Approximation properties of some vector weak biorthogonal greedy algorithms. Int. J. Wavelets Multiresolution Inf. Process. Xianhe Wang, Xu Xu, Peixin Ye, Wenhui Zhang
2024	J	`jnl`	Sparse Signal Recovery via Rescaled Matching Pursuit. Axioms Wan Li, Peixin Ye
2024	J	`jnl`	The Theory and Applications of Hölder Widths. Axioms Man Lu, Peixin Ye
2023	J	`jnl`	A multi-point collaborative DDoS defense mechanism for IIoT environment. Digit. Commun. Networks Hongcheng Huang, Peixin Ye, Min Hu, Jun Wu
2023	J	`jnl`	Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery. Axioms Chunfang Shao, Xiujie Wei, Peixin Ye, Shuo Xing
2023	J	`jnl`	Optimality of the rescaled pure greedy learning algorithms. Int. J. Wavelets Multiresolution Inf. Process. Wenhui Zhang, Peixin Ye, Shuo Xing
2022	J	`jnl`	Almost Optimality of the Orthogonal Super Greedy Algorithm for μ-Coherent Dictionaries. Axioms Chunfang Shao, Jincai Chang, Peixin Ye, Wenhui Zhang, Shuo Xing
2022	J	`jnl`	Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms. Axioms Wenhui Zhang, Peixin Ye, Shuo Xing, Xu Xu
2022	J	`jnl`	Unified error estimate for weak biorthogonal Greedy algorithms. Int. J. Wavelets Multiresolution Inf. Process. Bing Jiang, Peixin Ye, Wenhui Zhang
2021	J	`jnl`	Efficiency of the weak Rescaled Pure Greedy Algorithm. Int. J. Wavelets Multiresolution Inf. Process. Bing Jiang, Peixin Ye
2020	J	`jnl`	Error analysis of the moving least-squares regression learning algorithm with β-mixing and non-identical sampling. Int. J. Comput. Math. Qin Guo, Peixin Ye
2020	J	`jnl`	Randomized approximation numbers on Besov classes with mixed smoothness. Int. J. Wavelets Multiresolution Inf. Process. Liqin Duan, Peixin Ye
2019	J	`jnl`	Error analysis of the moving least-squares method with non-identical sampling. Int. J. Comput. Math. Qin Guo, Peixin Ye
2018	J	`jnl`	Coefficient-based lq-regularized regression with indefinite kernels and unbounded sampling. J. Approx. Theory Qin Guo, Cheng Wang, Peixin Ye
2018	J	`jnl`	Convergence Rate for l IEEE Access Qin Guo, Peixin Ye, Binlei Cai
2018	J	`jnl`	Error Analysis of Least-Squares l IEEE Access Qin Guo, Peixin Ye
2017	J	`jnl`	Almost optimality of orthogonal super greedy algorithms for incoherent dictionaries. Int. J. Wavelets Multiresolution Inf. Process. Chunfang Shao, Peixin Ye
2017	J	`jnl`	The improved learning rate for regularized regression with RKBSs. Int. J. Mach. Learn. Cybern. Huanxiang Liu, Baohuai Sheng, Peixin Ye
2016	J	`jnl`	Coefficient-based regularized regression with dependent and unbounded sampling. Int. J. Wavelets Multiresolution Inf. Process. Qin Guo, Peixin Ye
2015	J	`jnl`	Convergence rate of semi-supervised gradient learning algorithms. Int. J. Wavelets Multiresolution Inf. Process. Baohuai Sheng, Daohong Xiang, Peixin Ye
2015	J	`jnl`	Improved bounds on restricted isometry constant for orthogonal multi matching pursuit. J. Comput. Methods Sci. Eng. Xiujie Wei, Peixin Ye
2015	J	`jnl`	The efficiency of using Orthogonal Matching Pursuit in compressed sensing. J. Comput. Methods Sci. Eng. Peixin Ye, Xiujie Wei
2013	Misc	`conf`	Optimal error for Orthogonal Matching Pursuit for μ-coherent dictionaries. ICNC Jingfan Long, Xiujie Wei, Peixin Ye
2011	J	`jnl`	Greedy approximation with regard to non-greedy bases. Adv. Comput. Math. Vladimir N. Temlyakov, Mingrui Yang, Peixin Ye
2011	J	`jnl`	Inverse Estimates for Lupas-Baskakov Operators. J. Comput. Zhanjie Song, Peixin Ye
2011	—	`conf`	Quadrature formula for some classes of analytic functions. EMEIT Peixin Ye
2010	Misc	`conf`	Convergence rate of quantum algorithm for multivariate approximation. ICNC Jingfan Long, Sheng Zhang, Peixin Ye
2010	Misc	`conf`	Monte Carlo integration with small random bits. ICNC Sheng Zhang, Peixin Ye, Jingfan Long
2008	—	`conf`	An Adaptive Algorithm in m-Term Approximation for Some Multivariate Functions. CSSE (1) Peixin Ye, Zhiyong Zhao
2008	—	`conf`	Complexity of Functional Learning on Some Classes of Multivariate Functions. ICNC (3) Peixin Ye, Qing He
2008	—	`conf`	Lower Bound for Quantum Integration Error on Some Sobolev Classes. ICNC (3) Peixin Ye
2008	J	`jnl`	Optimal integration error on anisotropic classes for restricted Monte Carlo and quantum algorithms. J. Approx. Theory Peixin Ye, Xiaofei Hu
2008	—	`conf`	Quantum Approximation on Some Classes of Multivarite Functions. CSSE (1) Peixin Ye
2008	—	`conf`	Quantum Complexity of the Approximation on the Classes B(Wrp([0, 1]d)) and B(Hrp([0, 1]d)). ICNC (3) Peixin Ye
2008	—	`conf`	Restricted Monte Carlo Integration on Some Multivariate Functions. CSSE (1) Peixin Ye, Qing He
2007	—	`conf`	An Greedy-type Algorithm in m-term Approximation For Besov Class with Mixed Smoothness. ICNC (1) Peixin Ye, Qing He
2007	—	`conf`	Quantum Approximation Error on Some Sobolev Classes. ICNC (4) Peixin Ye
2007	—	`conf`	Quantum Integration Error on Some Classes of Multivariate Functions. ICIC (3) Peixin Ye, Qing He
2006	—	`conf`	Quantum Integration Error for Some Sobolev Classes. ICNC (2) Peixin Ye, Xiaofei Hu
2005	J	`jnl`	Computational complexity of the integration problem for anisotropic classes. Adv. Comput. Math. Peixin Ye
2003	J	`jnl`	Integration error for multivariate functions from anisotropic classes . J. Complex. Gensun Fang, Peixin Ye
2003	J	`jnl`	Probabilistic and average linear widths of Sobolev space with Gaussian measure. J. Complex. Gensun Fang, Peixin Ye