Zhiyou Wu

Orcid: 0000-0001-9107-5523

According to our database1, Zhiyou Wu authored at least 27 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Privacy-Preserving Dual Stochastic Push-Sum Algorithm for Distributed Constrained Optimization.
J. Optim. Theory Appl., April, 2023

Adv-Eye: A Transfer-Based Natural Eye Makeup Attack on Face Recognition.
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
Robust truncated L<sub>2</sub>-norm twin support vector machine.
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

D.C. programming for sparse proximal support vector machines.
Inf. Sci., 2021

Generalized elastic net optimal scoring problem for feature selection.
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
Stochastic mirror descent method for distributed multi-agent optimization.
Optim. Lett., 2018

Linear lJ-nonparallel support vector machine for pattern classification.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

v-Nonparallel Support Vector Ordinal Regression.
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

Distributed mirror descent method for multi-agent optimization with delay.
Neurocomputing, 2016

Distributed mirror descent method for saddle point problems over directed graphs.
Complex., 2016

A fast dual proximal-gradient method for separable convex optimization with linear coupled constraints.
Comput. Optim. Appl., 2016

2015
Gradient-free method for nonsmooth distributed optimization.
J. Glob. Optim., 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

Optimality conditions and optimization methods for quartic polynomial optimization.
Appl. Math. Comput., 2014

2012
Global optimality conditions and optimization methods for quadratic assignment problems.
Appl. Math. Comput., 2012

2006
A Recursive Digital Filter Design using Global Optimization Technique.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006


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