Generalized symmetric ADMM for separable convex optimization J Bai, J Li, F Xu, H Zhang Computational optimization and applications 70 (1), 129-170, 2018 | 86 | 2018 |
An inexact accelerated stochastic ADMM for separable convex optimization J Bai, WW Hager, H Zhang Computational Optimization and Applications 81 (2), 479-518, 2022 | 67 | 2022 |
A preconditioned two-step modulus-based matrix splitting iteration method for linear complementarity problem PF Dai, J Li, J Bai, J Qiu Applied Mathematics and Computation 348, 542-551, 2019 | 32 | 2019 |
A parameterized proximal point algorithm for separable convex optimization J Bai, H Zhang, J Li Optimization Letters 12, 1589-1608, 2018 | 29 | 2018 |
Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes J Bai, D Han, H Sun, H Zhang arXiv preprint arXiv:2103.16154, 2021 | 28 | 2021 |
A new model for sparse and low-rank matrix decomposition ZS Liu, JC Li, G Li, JC Bai, XN Liu J. Appl. Anal. Comput 7 (2), 600-616, 2017 | 28 | 2017 |
A new insight on augmented Lagrangian method with applications in machine learning J Bai, L Jia, Z Peng Journal of Scientific Computing 99 (2), 53, 2024 | 23 | 2024 |
A general preconditioner for linear complementarity problem with an M-matrix PF Dai, JC Li, YT Li, J Bai Journal of Computational and Applied Mathematics 317, 100-112, 2017 | 16 | 2017 |
On the low rank solution of the Q‐weighted nearest correlation matrix problem XF Duan, JC Bai, JF Li, JJ Peng Numerical linear algebra with applications 23 (2), 340-355, 2016 | 13 | 2016 |
Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter X Chang, J Bai, D Song, S Liu Calcolo 57, 1-36, 2020 | 12 | 2020 |
Accelerated stochastic Peaceman–Rachford method for empirical risk minimization JC Bai, FM Bian, XK Chang, L Du Journal of the Operations Research Society of China 11 (4), 783-807, 2023 | 10 | 2023 |
On the generalized low rank approximation of the correlation matrices arising in the asset portfolio X Duan, J Bai, M Zhang, X Zhang Linear Algebra and its Applications 461, 1-17, 2014 | 10 | 2014 |
Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers J Bai, Y Ma, H Sun, M Zhang Applied Numerical Mathematics 165, 500-518, 2021 | 9 | 2021 |
Convergence revisit on generalized symmetric ADMM J Bai, X Chang, J Li, F Xu Optimization 70 (1), 149-168, 2021 | 9 | 2021 |
An accelerated stochastic ADMM for nonconvex and nonsmooth finite-sum optimization Y Zeng, Z Wang, J Bai, X Shen Automatica 163, 111554, 2024 | 8 | 2024 |
New error bounds for linear complementarity problems of S-Nekrasov matrices and B–S-Nekrasov matrices PF Dai, J Li, J Bai, L Dong Computational and Applied Mathematics 38 (2), 61, 2019 | 7 | 2019 |
An inexact ADMM with proximal-indefinite term and larger stepsize Y Ma, J Bai, H Sun Applied Numerical Mathematics 184, 542-566, 2023 | 6 | 2023 |
Accelerated symmetric ADMM and its applications in large-scale signal processing J Bai, K Guo, J Liang, Y Jing, HC So | 6 | 2021 |
A joint analysis of multi-paradigm fMRI data with its application to cognitive study Y Bai, Y Gong, J Bai, J Liu, HW Deng, V Calhoun, YP Wang IEEE transactions on medical imaging 40 (3), 951-962, 2020 | 6 | 2020 |
Notes on new error bounds for linear complementarity problems of Nekrasov matrices, B-Nekrasov matrices and QN-matrices PF Dai, J Li, J Bai, L Dong Numer Math Theory Methods Appl 12, 1191-1212, 2019 | 6 | 2019 |