Selected Publications:
Bofan Wang, Shiqian Ma, Junfeng Yang, Danqing Zhou, Relaxed Proximal Point Algorithm: Tight Complexity Bounds and Acceleration without Momentum. INFORMS Journal on Optimization, Accepted.
Youran Dong, Shiqian Ma, Junfeng Yang, Chao Yin, A Single-Loop Algorithm for Decentralized Bilevel Optimization, Mathematics of Operations Research, To appear.
Xiaokai Chang, Junfeng Yang, Jianchao Bai, Jianxiong Cao, A primal-dual splitting algorithm with convex combination and larger step sizes for composite monotone inclusion problems, SIAM Journal on Imaging Sciences, 18(4):2094-2126, 2025.
Youran Dong, Junfeng Yang, Wei Yao, Jin Zhang, Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization, International Conference on Machine Learning (ICML), vol. 267, pp. 14231-14259, PMLR, 2025.
Zengyun Shan, Haiwen Xu, Junfeng Yang, An adaptive PDHG with relaxed stepsize condition for composite convex optimization, Journal of Scientific Computing, 103:78, 2025.
Danqing Zhou, Shiqian Ma, Junfeng Yang, AdaBB: Adaptive Barzilai-Borwein Method for Convex Optimization, Mathematics of Operations Research, To appear.
Xiaokai Chang, Junfeng Yang, and Hongchao Zhang, Golden ratio primal-dual algorithm with linesearch, SIAM Journal on Optimization, 32(3):1584-1613, 2022.
Xiaokai Chang, and Junfeng Yang, GRPDA revisited: relaxed conditions and connection to Chambolle-Pock's primal-dual algorithm, Journal of Scientific Computing, 93:70, 2022.
Xiaokai Chang, and Junfeng Yang, A golden ratio primal-dual algorithm for structured convex optimization, Journal of Scientific Computing, 87:47, 2021.
Guoyong Gu, and Junfeng Yang, Tight sublinear convergence rate of the proximal point algorithm for maximal monotone inclusion problems, SIAM Journal on Optimization, 30(3):1905-1921, 2020.
Guoyong Gu, Suhong Jiang, and Junfeng Yang, A TVSCAD approach for image deblurring with impulsive noise, Inverse Problems, 33:125008, 2017.
Shiqian Ma, and Junfeng Yang, Applications of gauge duality in robust principal component analysis and semidefinite programming, Science China Mathematics, 59(8):1579-1592, 2016.
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):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, 25(4):2120-2142, 2015.
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(2):857-893, 2013.
Junfeng Yang, and Xiaoming Yuan, Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization, Mathematics of Computation, 82(281):301-329, 2013.
Raymond H. Chan, Junfeng Yang, and Xiaoming Yuan, Alternating direction method for image inpainting in wavelet domains, SIAM Journal on Imaging Sciences, 4(3):807-826, 2011.
Junfeng Yang, and Yin Zhang, Alternating direction algorithms for L1-problems in compressive sensing, SIAM Journal on Scientific Computing, 33(1):250-278, 2011.
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):288-297, 2010.
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):2842-2865, 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):569-592, 2009.
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):248-272, 2008.
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