Zhiyou Wu
Orcid: 0000-0001-9107-5523
According to our database1,
Zhiyou Wu
authored at least 28 papers
between 2006 and 2024.
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Bibliography
2024
An Efficient Method With Guaranteed Convergence for Window Sidelobe Magnitude Reduction.
IEEE Signal Process. Lett., 2024
2023
Privacy-Preserving Dual Stochastic Push-Sum Algorithm for Distributed Constrained Optimization.
J. Optim. Theory Appl., April, 2023
IEEE Access, 2023
2022
Online Learning Algorithm for Distributed Convex Optimization With Time-Varying Coupled Constraints and Bandit Feedback.
IEEE Trans. Cybern., 2022
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Int. J. Mach. Learn. Cybern., 2021
Sparse adversarial attack based on ℓ q-norm for fooling the face anti-spoofing neural networks.
J. Electronic Imaging, 2021
Online distributed dual averaging algorithm for multi-agent bandit optimization over time-varying general directed networks.
Inf. Sci., 2021
Neurocomputing, 2021
2020
Regularized dual gradient distributed method for constrained convex optimization over unbalanced directed graphs.
Numer. Algorithms, 2020
Online distributed stochastic learning algorithm for convex optimization in time-varying directed networks.
Neurocomputing, 2020
2019
An adaptive online learning algorithm for distributed convex optimization with coupled constraints over unbalanced directed graphs.
J. Frankl. Inst., 2019
2018
Optim. Lett., 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
2017
Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks.
Complex., 2017
2016
An Inexact Dual Fast Gradient-Projection Method for Separable Convex Optimization with Linear Coupled Constraints.
J. Optim. Theory Appl., 2016
Neurocomputing, 2016
Complex., 2016
A fast dual proximal-gradient method for separable convex optimization with linear coupled constraints.
Comput. Optim. Appl., 2016
2015
Global optimality conditions and optimization methods for constrained polynomial programming problems.
Appl. Math. Comput., 2015
Optimality conditions and optimization methods for quartic polynomial optimization problems with mixed variables.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
2014
A feedback neural network for solving convex quadratic bi-level programming problems.
Neural Comput. Appl., 2014
Appl. Math. Comput., 2014
2012
Global optimality conditions and optimization methods for quadratic assignment problems.
Appl. Math. Comput., 2012
2006
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006