Block Triangular and Skew-Hermitian Splitting Methods for Positive-Definite Linear Systems. - Zhong-Zhi Bai; Gene H. Golub; Linzhang Lu; Jun-Feng Yin (SIAM J. Sci. Comput., 2005)

Preconditioner based on the Sherman-Morrison formula for regularized least squares problems. - Jun-Feng Yin (Appl. Math. Comput., 2009)

Modified incomplete orthogonal factorization methods using Givens rotations. - Zhong-Zhi Bai; Jun-Feng Yin (Computing, 2009)

On Arnoldi Method Accelerating PageRank Computations. - Guo-Jian Yin; Jun-Feng Yin (WISM, 2010)

Preface. - Zhong-Zhi Bai; Hua Dai 001; Xing-Ping Liu; Jun-Feng Yin (Appl. Math. Comput., 2010)

A class of preconditioners based on matrix splitting for nonsymmetric linear systems. - Jun-Feng Yin (Appl. Math. Comput., 2010)

GMRES Methods for Least Squares Problems. - Ken Hayami; Jun-Feng Yin; Tokushi Ito (SIAM J. Matrix Anal. Appl., 2010)

Greville's method for preconditioning least squares problems. - Xiaoke Cui; Ken Hayami; Jun-Feng Yin (Adv. Comput. Math., 2011)

On adaptively accelerated Arnoldi method for computing PageRank. - Jun-Feng Yin; Guo-Jian Yin; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2012)

Alternative gradient algorithms for computing the nearest correlation matrix. - Jun-Feng Yin; Yu Zhang 020 (Appl. Math. Comput., 2013)

On the convergence of projected triangular decomposition methods for pricing American options with stochastic volatility. - Ning Zheng; Jun-Feng Yin (Appl. Math. Comput., 2013)

Accelerated modulus-based matrix splitting iteration methods for linear complementarity problem. - Ning Zheng; Jun-Feng Yin (Numer. Algorithms, 2013)

Convergence of accelerated modulus-based matrix splitting iteration methods for linear complementarity problem with an H+-matrix. - Ning Zheng; Jun-Feng Yin (J. Comput. Appl. Math., 2014)

Symmetric finite volume method for second order variable coefficient hyperbolic equations. - Xiao-Ting Gan; Jun-Feng Yin (Appl. Math. Comput., 2015)

Aitken extrapolation method for computing the largest eigenvalue of nonnegative tensors. - Jun-Feng Yin; Xiao-He Kong; Ning Zheng (Appl. Math. Comput., 2015)

Symmetric finite volume element approximations of second order linear hyperbolic integro-differential equations. - Xiao-Ting Gan; Jun-Feng Yin (Comput. Math. Appl., 2015)

Modulus-Type Inner Outer Iteration Methods for Nonnegative Constrained Least Squares Problems. - Ning Zheng; Ken Hayami; Jun-Feng Yin (SIAM J. Matrix Anal. Appl., 2016)

Modulus-based iterative methods for constrained Tikhonov regularization. - Zhong-Zhi Bai; Alessandro Buccini; Ken Hayami; Lothar Reichel; Jun-Feng Yin; Ning Zheng (J. Comput. Appl. Math., 2017)

Accelerated modulus-based matrix splitting iteration methods for a restricted class of nonlinear complementarity problems. - Rui Li; Jun-Feng Yin (Numer. Algorithms, 2017)

A Class of Algorithms for Continuous Wavelet Transform Based on the Circulant Matrix. - Hua Yi; Shi-You Xin; Jun-Feng Yin (Algorithms, 2018)

On the convergence of modulus-based matrix splitting iteration methods for a class of nonlinear complementarity problems with H+-matrices. - Rui Li; Jun-Feng Yin (J. Comput. Appl. Math., 2018)

A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems. - Zeyu Liao; Ken Hayami; Keiichi Morikuni; Jun-Feng Yin (CoRR, 2020)

Preconditioned modified Hermitian and skew-Hermitian splitting iteration methods for fractional nonlinear Schrödinger equations. - Zeng-Qi Wang; Jun-Feng Yin; Quan-Yu Dou (J. Comput. Appl. Math., 2020)

Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems. - Yi-Shu Du; Ken Hayami; Ning Zheng; Keiichi Morikuni; Jun-Feng Yin (SIAM J. Sci. Comput., 2021)

Restarted randomized surrounding methods for solving large linear equations. - Jun-Feng Yin; Nan Li; Ning Zheng (Appl. Math. Lett., 2022)

Randomized block Kaczmarz methods with k-means clustering for solving large linear systems. - Xiang-Long Jiang; Ke Zhang 003; Jun-Feng Yin (J. Comput. Appl. Math., 2022)

Modified relaxation two-sweep modulus-based matrix splitting iteration method for solving a class of implicit complementarity problems. - Nan Li; Jian Ding; Jun-Feng Yin (J. Comput. Appl. Math., 2022)

A generalized modulus-based Newton method for solving a class of non-linear complementarity problems with P-matrices. - Rui Li; Zhilin Li 002; Jun-Feng Yin (Numer. Algorithms, 2022)

A second-order ADI method for pricing options under fractional regime-switching models. - Ming-Kai Wang; Cheng Wang; Jun-Feng Yin (Networks Heterog. Media, 2023)

On fast greedy block Kaczmarz methods for solving large consistent linear systems. - Aqin Xiao; Jun-Feng Yin; Ning Zheng (Comput. Appl. Math., 2023)

A surrogate hyperplane Kaczmarz method for solving consistent linear equations. - Ze Wang; Jun-Feng Yin (Appl. Math. Lett., 2023)

A greedy average block sparse Kaczmarz method for sparse solutions of linear systems. - Aqin Xiao; Jun-Feng Yin (Appl. Math. Lett., 2024)

On averaging block Kaczmarz methods for solving nonlinear systems of equations. - Aqin Xiao; Jun-Feng Yin (J. Comput. Appl. Math., 2024)

A residual-based weighted nonlinear Kaczmarz method for solving nonlinear systems of equations. - Yu-Xin Ye; Jun-Feng Yin (Comput. Appl. Math., 2024)

Preconditioned linearized Bregman method with Golub-Kahan bidiagonalization for frame-based image deblurring. - Ze Wang; Jun-Feng Yin; Shao-Liang Zhang; Ning Zheng (Appl. Math. Lett., 2025)

The sparse Kaczmarz method with surrogate hyperplane for the regularized basis pursuit problem. - Ze Wang; Jun-Feng Yin; Ji-Chen Zhao (J. Comput. Appl. Math., 2025)

A Surrogate Hyperplane Bregman-Kaczmarz Method for Solving Linear Inverse Problems. - Zeyu Dong; Ze Wang; Guojian Yin; Jun-Feng Yin (J. Sci. Comput., 2025)

The randomized circumcentered-reflection iteration method for solving consistent linear equations. - Nan Li; Jun-Feng Yin (Comput. Appl. Math., 2025)

A Fast Block Nonlinear Bregman-Kaczmarz Method with Averaging for Nonlinear Sparse Signal Recovery. - Aqin Xiao; Xiangyu Gao; Jun-Feng Yin (J. Sci. Comput., 2025)

A surrogate hyperplane Kaczmarz method with oblique projection for solving linear systems. - Zeyu Dong; Shiyang Qin; Guojian Yin; Jun-Feng Yin; Ning Zheng (J. Sci. Comput., 2025)

A fast Bregman projection method for linearly constrained optimization problems. - Yu-Xin Ye; Jun-Feng Yin; Yu-Rui Jiang; Ze Wang (J. Comput. Appl. Math., 2026)