Jun-Feng Yin - RankMe

47 papers Journal 46Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A fast Bregman projection method for linearly constrained optimization problems. J. Comput. Appl. Math. Yu-Xin Ye, Jun-Feng Yin, Yu-Rui Jiang, Ze Wang
2026	J	`jnl`	A residual-based randomized Kaczmarz method for solving linear feasibility problems. Appl. Math. Lett. Yu-Han Li, Ze Wang, Yu-Xin Ye, Jun-Feng Yin
2026	J	`jnl`	Randomized coordinate descent method for inconsistent tensor linear systems with t-product. J. Comput. Appl. Math. Ni-Hong Ke, Yu-Rui Jiang, Jun-Feng Yin
2025	J	`jnl`	A Fast Block Nonlinear Bregman-Kaczmarz Method with Averaging for Nonlinear Sparse Signal Recovery. J. Sci. Comput. Aqin Xiao, Xiangyu Gao, Jun-Feng Yin
2025	J	`jnl`	A Surrogate Hyperplane Bregman-Kaczmarz Method for Solving Linear Inverse Problems. J. Sci. Comput. Zeyu Dong, Ze Wang, Guojian Yin, Jun-Feng Yin
2025	J	`jnl`	A fast block nonlinear Bregman-Kaczmarz method with averaging for nonlinear sparse signal recovery. CoRR Aqin Xiao, Xiangyu Gao, Jun-Feng Yin
2025	J	`jnl`	A surrogate hyperplane Kaczmarz method with oblique projection for solving linear systems. J. Sci. Comput. Zeyu Dong, Shiyang Qin, Guojian Yin, Jun-Feng Yin, Ning Zheng
2025	J	`jnl`	Preconditioned linearized Bregman method with Golub-Kahan bidiagonalization for frame-based image deblurring. Appl. Math. Lett. Ze Wang, Jun-Feng Yin, Shao-Liang Zhang, Ning Zheng
2025	J	`jnl`	The randomized circumcentered-reflection iteration method for solving consistent linear equations. Comput. Appl. Math. Nan Li, Jun-Feng Yin
2025	J	`jnl`	The sparse Kaczmarz method with surrogate hyperplane for the regularized basis pursuit problem. J. Comput. Appl. Math. Ze Wang, Jun-Feng Yin, Ji-Chen Zhao
2024	J	`jnl`	A greedy average block sparse Kaczmarz method for sparse solutions of linear systems. Appl. Math. Lett. Aqin Xiao, Jun-Feng Yin
2024	J	`jnl`	A residual-based weighted nonlinear Kaczmarz method for solving nonlinear systems of equations. Comput. Appl. Math. Yu-Xin Ye, Jun-Feng Yin
2024	J	`jnl`	On averaging block Kaczmarz methods for solving nonlinear systems of equations. J. Comput. Appl. Math. Aqin Xiao, Jun-Feng Yin
2024	J	`jnl`	The sparse Kaczmarz method with surrogate hyperplane for the regularized basis pursuit problem. CoRR Ze Wang, Jun-Feng Yin, Ji-Chen Zhao
2023	J	`jnl`	A second-order ADI method for pricing options under fractional regime-switching models. Networks Heterog. Media Ming-Kai Wang, Cheng Wang, Jun-Feng Yin
2023	J	`jnl`	A surrogate hyperplane Kaczmarz method for solving consistent linear equations. Appl. Math. Lett. Ze Wang, Jun-Feng Yin
2023	J	`jnl`	On fast greedy block Kaczmarz methods for solving large consistent linear systems. Comput. Appl. Math. Aqin Xiao, Jun-Feng Yin, Ning Zheng
2022	J	`jnl`	A generalized modulus-based Newton method for solving a class of non-linear complementarity problems with P-matrices. Numer. Algorithms Rui Li, Zhilin Li, Jun-Feng Yin
2022	J	`jnl`	Modified relaxation two-sweep modulus-based matrix splitting iteration method for solving a class of implicit complementarity problems. J. Comput. Appl. Math. Nan Li, Jian Ding, Jun-Feng Yin
2022	J	`jnl`	Randomized block Kaczmarz methods with k-means clustering for solving large linear systems. J. Comput. Appl. Math. Xiang-Long Jiang, Ke Zhang, Jun-Feng Yin
2022	J	`jnl`	Restarted randomized surrounding methods for solving large linear equations. Appl. Math. Lett. Jun-Feng Yin, Nan Li, Ning Zheng
2022	J	`jnl`	Restarted randomized surrounding methods for solving large linear equations. CoRR Jun-Feng Yin, Nan Li, Ning Zheng
2021	J	`jnl`	Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems. SIAM J. Sci. Comput. Yi-Shu Du, Ken Hayami, Ning Zheng, Keiichi Morikuni, Jun-Feng Yin
2020	J	`jnl`	A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems. CoRR Zeyu Liao, Ken Hayami, Keiichi Morikuni, Jun-Feng Yin
2020	J	`jnl`	Kaczmarz-type inner-iteration preconditioned flexible GMRES methods for consistent linear systems. CoRR Yi-Shu Du, Ken Hayami, Ning Zheng, Keiichi Morikuni, Jun-Feng Yin
2020	J	`jnl`	Preconditioned modified Hermitian and skew-Hermitian splitting iteration methods for fractional nonlinear Schrödinger equations. J. Comput. Appl. Math. Zeng-Qi Wang, Jun-Feng Yin, Quan-Yu Dou
2018	J	`jnl`	A Class of Algorithms for Continuous Wavelet Transform Based on the Circulant Matrix. Algorithms Hua Yi, Shi-You Xin, Jun-Feng Yin
2018	J	`jnl`	On the convergence of modulus-based matrix splitting iteration methods for a class of nonlinear complementarity problems with H+-matrices. J. Comput. Appl. Math. Rui Li, Jun-Feng Yin
2017	J	`jnl`	Accelerated modulus-based matrix splitting iteration methods for a restricted class of nonlinear complementarity problems. Numer. Algorithms Rui Li, Jun-Feng Yin
2017	J	`jnl`	Modulus-based iterative methods for constrained Tikhonov regularization. J. Comput. Appl. Math. Zhong-Zhi Bai, Alessandro Buccini, Ken Hayami, Lothar Reichel, Jun-Feng Yin, Ning Zheng
2016	J	`jnl`	Modulus-Type Inner Outer Iteration Methods for Nonnegative Constrained Least Squares Problems. SIAM J. Matrix Anal. Appl. Ning Zheng, Ken Hayami, Jun-Feng Yin
2015	J	`jnl`	Aitken extrapolation method for computing the largest eigenvalue of nonnegative tensors. Appl. Math. Comput. Jun-Feng Yin, Xiao-He Kong, Ning Zheng
2015	J	`jnl`	Symmetric finite volume element approximations of second order linear hyperbolic integro-differential equations. Comput. Math. Appl. Xiao-Ting Gan, Jun-Feng Yin
2015	J	`jnl`	Symmetric finite volume method for second order variable coefficient hyperbolic equations. Appl. Math. Comput. Xiao-Ting Gan, Jun-Feng Yin
2014	J	`jnl`	Convergence of accelerated modulus-based matrix splitting iteration methods for linear complementarity problem with an H J. Comput. Appl. Math. Ning Zheng, Jun-Feng Yin
2013	J	`jnl`	Accelerated modulus-based matrix splitting iteration methods for linear complementarity problem. Numer. Algorithms Ning Zheng, Jun-Feng Yin
2013	J	`jnl`	Alternative gradient algorithms for computing the nearest correlation matrix. Appl. Math. Comput. Jun-Feng Yin, Yu Zhang
2013	J	`jnl`	On the convergence of projected triangular decomposition methods for pricing American options with stochastic volatility. Appl. Math. Comput. Ning Zheng, Jun-Feng Yin
2012	J	`jnl`	On adaptively accelerated Arnoldi method for computing PageRank. Numer. Linear Algebra Appl. Jun-Feng Yin, Guo-Jian Yin, Michael K. Ng
2011	J	`jnl`	Greville's method for preconditioning least squares problems. Adv. Comput. Math. Xiaoke Cui, Ken Hayami, Jun-Feng Yin
2010	J	`jnl`	A class of preconditioners based on matrix splitting for nonsymmetric linear systems. Appl. Math. Comput. Jun-Feng Yin
2010	J	`jnl`	GMRES Methods for Least Squares Problems. SIAM J. Matrix Anal. Appl. Ken Hayami, Jun-Feng Yin, Tokushi Ito
2010	—	`conf`	On Arnoldi Method Accelerating PageRank Computations. WISM Guo-Jian Yin, Jun-Feng Yin
2010	J	`jnl`	Preface. Appl. Math. Comput. Zhong-Zhi Bai, Hua Dai, Xing-Ping Liu, Jun-Feng Yin
2009	J	`jnl`	Modified incomplete orthogonal factorization methods using Givens rotations. Computing Zhong-Zhi Bai, Jun-Feng Yin
2009	J	`jnl`	Preconditioner based on the Sherman-Morrison formula for regularized least squares problems. Appl. Math. Comput. Jun-Feng Yin
2005	J	`jnl`	Block Triangular and Skew-Hermitian Splitting Methods for Positive-Definite Linear Systems. SIAM J. Sci. Comput. Zhong-Zhi Bai, Gene H. Golub, Linzhang Lu, Jun-Feng Yin