Selected Publications:
Youran Dong, Junfeng Yang, Wei Yao, Jin Zhang, Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization. International Conference on Machine Learning (ICML), 2025.
Zengyun Shan, Haiwen Xu, Junfeng Yang, An adaptive PDHG with relaxed stepsize condition for composite convex optimization. Journal of Scientific Computing, accepted.
Danqing Zhou, Shiqian Ma, Junfeng Yang, AdaBB: Adaptive Barzilai-Borwein Method for Convex Optimization. Mathematics of Operations Research, accepted.
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.