2023-present:
Yaning Jiang, Xingju Cai, Deren Han, Junfeng Yang, Customized Douglas-Rachford splitting methods for structured inverse variational inequality problems, Optimization Methods and Software, to appear.
Guoyong Gu, Junfeng Yang, Tight ergodic sublinear convergence rate of the relaxed proximal point algorithm for variational inequalities, Journal of Optimization Theory and Applications, to appear.
Xihong Yan, Chuanlong Wang, Junfeng Yang, A note on progressive hedging algorithm for multistage stochastic variational inequalities. Applied Mathematics Letters, 152, 109008, 2024.
Chao Yin, Junfeng Yang, Golden ratio proximal gradient ADMM for distributed composite convex optimization, Journal of Optimization Theory and Applications, Vol. 200, pages 895-922, 2024.
Xihong Yan, Hao Li, Chuanlong Wang, Hongmei Chen and Junfeng Yang, An extended golden ratio proximal alternating direction method of multipliers for separable convex optimization, Mathematica Numerica Sinica, 46(1), pp. 1-16, 2024. (in Chinese)
Danqing Zhou, Haiwen Xu, Junfeng Yang, Proximal alternating direction method of multipliers with convex combination proximal centers, Asia-Pacific Journal of Operational Research, 2350029, 28 pages, 2023.
Hongmei Chen, Guoyong Gu, Junfeng Yang, A golden ratio proximal alternating direction method of multipliers for separable convex optimization. Journal of Global Optimization, 87(2-4):581-602, 2023.
Xiaokai Chang, Junfeng Yang, New convergence results of the golden ratio primal dual algorithm, Pacific Journal of Optimization, 19(1):21-43, 2023.
Hongmei Chen, Haiwen Xu, Junfeng Yang, A hybrid alternating minimization algorithm for structured convex optimization problems with application in Poissonian image processing. Journal of Industrial and Management Optimization, 19(7):5078-5098, 2023.
Guoyong Gu, Junfeng Yang, A unified and tight linear convergence analysis of the relaxed proximal point algorithm, Journal of Industrial and Management Optimization, 19(5):3742-3749, 2023.
2017-2022:
Xiaokai Chang, Junfeng Yang, GRPDA revisited: relaxed conditions and connection to Chambolle-Pock's primal-dual algorithm. Journal of Scientific Computing, 93:70, 2022.
Xiaokai Chang, Junfeng Yang, Hongchao Zhang, Golden ratio primal-dual algorithm with linesearch, SIAM Journal on Optimization, Vol. 32, No. 3, pp. 1584-1613, 2022.
Danqing Zhou, Xiaokai Chang, Junfeng Yang, A new primal-dual algorithm for structured convex optimization involving a Lipschitzian term, Pacific Journal of Optimization, Vol. 18, No. 2, pp. 497-517, 2022.
Danqing Zhou, Xiaokai Chang, Junfeng Yang, A new golden ratio primal-dual algorithm, Numerical Mathematics, A Journal of Chinese Universities, vol. 44, no. 1, pp. 97-106, 2022. (in Chinese).
Minli Zeng, Junfeng Yang, Guofeng Zhang, On $\tau$ matrix-based approximate inverse preconditioning technique for diagonal-plus-Toeplitz linear systems from spatial fractional diffusion equations, Journal of Computational and Applied Mathematics, Vol. 407, Paper No. 114088, 21, 2022.
Xiaokai Chang, Junfeng Yang, A golden ratio primal-dual algorithm for structured convex optimization, Journal of Scientific Computing, 87, 47 (2021).
Junfeng Yang, Yin Zhang, Local linear convergence of an ADMM-type splitting framework for equality constrained optimization, Journal of the Operations Research Society of China, Vol. 9, No. 2, pp. 307-319, 2021.
Guoyong Gu, Junfeng Yang, Tight sublinear convergence rate of the proximal point algorithm for maximal monotone inclusion problems, SIAM Journal on Optimization, Vol. 30, No. 3, pp. 1905-1921, 2020.
Zhenguo Mu, Junfeng Yang, Convergence analysis of a stochastic progressive hedging algorithm for stochastic programming, Statistics, Optimization and Information Computing, Vol. 8, No. 3, pp. 656-667, 2020.
Junfeng Yang, An algorithmic review for total variation regularized data fitting problems in image processing, Operations Research Transactions, 21(4):69-83, 2017 (in Chinese).
Guoyong Gu, Suhong Jiang, and Junfeng Yang, A TVSCAD approach for image deblurring with impulsive noise, Inverse Problems, 33 (2017) 125008.
2012-2016:
Junfeng Yang, Compressive sensing and L1-norm decoding by ADMM, Science Focus, vol. 11, no. 6, pp. 47-51, 2016 (in Chinese).
Shiqian Ma and Junfeng Yang, Applications of gauge duality in robust principal component analysis and semidefinite programming, Science China Mathematics, 59(8), p. 1579-1592, 2016.
Zhida Shen, Zhe Geng, and Junfeng Yang, Image reconstruction from incomplete convolution data via total variation regularization. Statistics, Optimization and Information Computing, 3(1), p. 1-14, 2015.
Raymond H. Chan, Shiqian Ma, and Junfeng Yang, Inertial primal dual algorithms for structured convex optimization, manuscript. [Revised version: Caihua Chen, Raymond H. Chan, Shiqian Ma, and Junfeng Yang, Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization, SIAM Journal on Imaging Sciences, 8(4), pp. 2239-2267, 2015. ]
Caihua Chen, Shiqian Ma, and Junfeng Yang, A general inertial proximal point algorithm for mixed variational inequality problem, SIAM Journal on Optimization, Vol. 25, No. 4 pp. 2120-2142, 2015.
Liusheng Hou, Hongjin He, and Junfeng Yang, A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA, Computational Optimization and Applications, Vol. 63, pp. 273 - 303, 2016.
Guoyong Gu, Bingsheng He, and Junfeng Yang, Inexact Alternating-Direction-Based Contraction Methods for Separable Linearly Constrained Convex Optimization, Journal of Optimization Theory and Applications, 163, pp. 105-129, 2014.
Junfeng Yang, Defeng Sun, and Kim-Chuan Toh, A proximal point algorithm for log-determinant optimization with group Lasso regularization, SIAM Journal on Optimization, 23 (2013), no. 2, 857每893.
Xiaoming Yuan, and Junfeng Yang, Sparse and low rank matrix decomposition via alternating direction method, Pacific Journal of Optimization, 9(1), 167每180, 2013.
Junfeng Yang, and Xiaoming Yuan, Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization, Mathematics of Computation, 82(281), 301每329, 2013.
Yunhai Xiao, Junfeng Yang, and Xiaoming Yuan, Alternating algorithms for total variation image reconstruction from random projections, Inverse Problems and Imaging, 6(3), 547每563, 2012.
2008-2011:
Raymond H. Chan, Junfeng Yang, and Xiaoming Yuan, Alternating direction method for image inpainting in wavelet domains, SIAM Journal on Imaging Sciences, 4(3), 807每826, 2011.
Junfeng Yang, and Yin Zhang, Alternating direction algorithms for L1-problems in compressive sensing, SIAM Journal on Scientific Computing, 33(1), 250每278, 2011.
Bean San Goh, Zheng Peng, Cho Seng Lee, Junfeng Yang, and Min Kong, Approximate greatest descent method and quasi-Newton matrices in optimization, Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications and Algorithms, 18(1), 17每28, 2011.
Wotao Yin, Simon Morgan, Junfeng Yang, and Yin Zhang, Practical compressive sensing with Toeplitz and circulant matrices, Proceedings of SPIE, 7744, 77440K (Volume title: Visual Communications and Image Processing), 2010.
Junfeng Yang, Yin Zhang, and Wotao Yin, A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data, IEEE Journal of Selected Topics in Signal Processing (Special Issue on Compressive Sensing), 4(2), 288每297, 2010.
Min Tao, and Junfeng Yang, Alternating direction algorithms for total variation deconvolution in image reconstruction, Optimization Online, November 17, 2009; TR0918, Department of Mathematics, Nanjing University, 2009/11; Research rep., Rice University, 2009/11.
Junfeng Yang, Yin Zhang, and Wotao Yin, An efficient TVL1 algorithm for deblurring multichannel images corrupted by impulsive noise, SIAM Journal on Scientific Computing, 31(4), 2842每2865, 2009.
Junfeng Yang, Wotao Yin, Yin Zhang, and Yilun Wang, A fast algorithm for edge-preserving variational multichannel image restoration, SIAM Journal on Imaging Sciences, 2(2), 569每592, 2009.
Bingsheng He, Xiang Wang, and Junfeng Yang, A comparison of different contraction methods for monotone variational inequalities, Journal of Computational Mathematics, 27(4), 459每473, 2009.
Junfeng Yang, Dynamic power price problem: an inverse variational inequality approach, Journal of Industrial and Management Optimization, 4(4), 673每684, 2008.
Yilun Wang, Junfeng Yang, Wotao Yin, and Yin Zhang, A new alternating minimization algorithm for total variation image reconstruction, SIAM Journal on Imaging Sciences, 1(3), 248每272, 2008.
Junfeng Yang, Wotao Yin, Yin Zhang, and Yilun Wang, A class of fast algorithm for total variation image restoration, OpenStax CNX, vol. 1, pp. 4-7, 2008.