General inertial proximal gradient method for a class of nonconvex nonsmooth optimization problems Z Wu, M Li Computational Optimization and Applications 73, 129-158, 2019 | 41 | 2019 |
A symmetric alternating direction method of multipliers for separable nonconvex minimization problems Z Wu, M Li, DZW Wang, D Han Asia-Pacific Journal of Operational Research 34 (06), 1750030, 2017 | 33 | 2017 |
Inertial proximal gradient methods with Bregman regularization for a class of nonconvex optimization problems Z Wu, C Li, M Li, A Lim Journal of Global Optimization 79, 617-644, 2021 | 30 | 2021 |
Generalized ADMM with optimal indefinite proximal term for linearly constrained convex optimization F Jiang, Z Wu, X Cai J. Ind. Manag. Optim. 16 (2), 835-856, 2020 | 23 | 2020 |
Approximate first-order primal-dual algorithms for saddle point problems F Jiang, X Cai, Z Wu, D Han Mathematics of Computation 90 (329), 1227-1262, 2021 | 17 | 2021 |
The developments of proximal point algorithms XJ Cai, K Guo, F Jiang, K Wang, ZM Wu, DR Han Journal of the Operations Research Society of China 10 (2), 197-239, 2022 | 15 | 2022 |
A first-order inexact primal-dual algorithm for a class of convex-concave saddle point problems F Jiang, Z Wu, X Cai, H Zhang Numerical Algorithms, 1-28, 2021 | 14 | 2021 |
Robust state estimation for linear systems under distributional uncertainty S Wang, Z Wu, A Lim IEEE Transactions on Signal Processing 69, 5963-5978, 2021 | 14 | 2021 |
Optimization consensus modeling of a closed-loop carbon quota trading mechanism regarding revenue and fairness X Xu, Z Gong, W Guo, Z Wu, E Herrera-Viedma, FJ Cabrerizo Computers & Industrial Engineering 161, 107611, 2021 | 12 | 2021 |
An incremental aggregated proximal ADMM for linearly constrained nonconvex optimization with application to sparse logistic regression problems Z Jia, J Huang, Z Wu Journal of Computational and Applied Mathematics 390, 113384, 2021 | 10 | 2021 |
A proximal Peaceman–Rachford splitting method for solving the multi-block separable convex minimization problems Z Wu, F Liu, M Li International Journal of Computer Mathematics 96 (4), 708-728, 2019 | 10 | 2019 |
Optimal mixed charging schemes for traffic congestion management with subsidy to new energy vehicle users Z Wu, X Cai, M Li, L Hu International Transactions in Operational Research 29 (1), 6-23, 2022 | 9 | 2022 |
An LQP-based symmetric alternating direction method of multipliers with larger step sizes ZM Wu, M Li Journal of the Operations Research Society of China 7, 365-383, 2019 | 9 | 2019 |
One neuron saved is one neuron earned: On parametric efficiency of quadratic networks FL Fan, HC Dong, Z Wu, L Ruan, T Zeng, Y Cui, JX Liao arXiv preprint arXiv:2303.06316, 2023 | 8 | 2023 |
Denoising, outlier/dropout correction, and sensor selection in range-based positioning S Wang, Z Wu, A Lim IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 8 | 2021 |
Convergence analysis of the generalized splitting methods for a class of nonconvex optimization problems M Li, Z Wu Journal of Optimization Theory and Applications 183, 535-565, 2019 | 6 | 2019 |
LINEARIZED BLOCK-WISE ALTERNATING DIRECTION METHOD OF MULTIPLIERS FOR MULTIPLE-BLOCK CONVEX PROGRAMMING. Z Wu, X Cai, D Han Journal of Industrial & Management Optimization 14 (3), 2018 | 6 | 2018 |
Regularization methods for sparse ESG-valued multi-period portfolio optimization with return prediction using machine learning Z Wu, L Yang, Y Fei, X Wang Expert Systems with Applications 232, 120850, 2023 | 5 | 2023 |
Unified linear convergence of first-order primal-dual algorithms for saddle point problems F Jiang, Z Wu, X Cai, H Zhang Optimization Letters 16 (6), 1675-1700, 2022 | 5 | 2022 |
On the convergence rate of inexact majorized sGS ADMM with indefinite proximal terms for convex composite programming M Li, Z Wu Asia-Pacific Journal of Operational Research 38 (01), 2050035, 2021 | 5 | 2021 |