Baohuai Sheng - RankMe

20 papers C 1Journal 19

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`	On the convergence rate of two-stage sampling distribution regression. Int. J. Wavelets Multiresolution Inf. Process. Mingdang Tian, Chenmin Ni, Baohuai Sheng
2024	J	`jnl`	On the density of translation networks defined on the unit ball. Math. Found. Comput. Xiaojun Sun, Baohuai Sheng, Lin Liu, Xiaoling Pan
2024	J	`jnl`	Reproducing property of bounded linear operators and kernel regularized least square regressions. Int. J. Wavelets Multiresolution Inf. Process. Baohuai Sheng
2023	J	`jnl`	Error analysis of kernel regularized pairwise learning with a strongly convex loss. Math. Found. Comput. Shuhua Wang, Baohuai Sheng
2022	J	`jnl`	Some Upper Bounds for RKHS Approximation by Bessel Functions. Axioms Mingdang Tian, Baohuai Sheng, Shuhua Wang
2022	J	`jnl`	The kernel regularized learning algorithm for solving Laplace equation with Dirichlet boundary. Int. J. Wavelets Multiresolution Inf. Process. Baohuai Sheng, Dapao Zhou, Shuhua Wang
2021	J	`jnl`	Error analysis of the kernel regularized regression based on refined convex losses and RKBSs. Int. J. Wavelets Multiresolution Inf. Process. Baohuai Sheng, Lan Zuo
2019	J	`jnl`	Convergence rate of SVM for kernel-based robust regression. Int. J. Wavelets Multiresolution Inf. Process. Shuhua Wang, Zhenlong Chen, Baohuai Sheng
2018	J	`jnl`	The convergence rate of semi-supervised regression with quadratic loss. Appl. Math. Comput. Baohuai Sheng, Hancan Zhu
2017	J	`jnl`	The improved learning rate for regularized regression with RKBSs. Int. J. Mach. Learn. Cybern. Huanxiang Liu, Baohuai Sheng, Peixin Ye
2017	J	`jnl`	The performance of semi-supervised Laplacian regularized regression with the least square loss. Int. J. Wavelets Multiresolution Inf. Process. Baohuai Sheng, Daohong Xiang
2015	J	`jnl`	Convergence rate of semi-supervised gradient learning algorithms. Int. J. Wavelets Multiresolution Inf. Process. Baohuai Sheng, Daohong Xiang, Peixin Ye
2014	J	`jnl`	Strong Convex Loss Can Increase the Learning Rates of Online Learning. J. Comput. Baohuai Sheng, Liqin Duan, Pei-Xin Ye
2012	J	`jnl`	Learning Rates of Support Vector Machine Classifiers with Data Dependent Hypothesis Spaces. J. Comput. Baohuai Sheng, Pei-Xin Ye
2012	J	`jnl`	Optimal order of truncation and aliasing errors for multi-dimensional Whittaker-Shannon sampling expansion. Int. J. Wirel. Mob. Comput. Pei-Xin Ye, Baohuai Sheng, Xiuhua Yuan
2011	J	`jnl`	Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation. J. Comput. Baohuai Sheng, Pei-Xin Ye
2009	C	`conf`	On Integrity of Harary Graphs. COCOA Fengwei Li, Qingfang Ye, Baohuai Sheng
2008	J	`jnl`	The covering number for some Mercer kernel Hilbert spaces. J. Complex. Baohuai Sheng, Jianli Wang, Ping Li
2007	J	`jnl`	On Approximation By Reproducing Kernel Spaces in Weighted L J. Syst. Sci. Complex. Baohuai Sheng