A Recursive Digital Filter Design using Global Optimization Technique. - Zhiyou Wu; Yanhong Gu (APCCAS, 2006)

Global optimality conditions and optimization methods for quadratic assignment problems. - Zhiyou Wu; Yongjian Yang 006; Fusheng Bai; Jing Tian (Appl. Math. Comput., 2012)

Optimality conditions and optimization methods for quartic polynomial optimization. - Zhiyou Wu; Jing Tian; Jing Quan; Julien Ugon (Appl. Math. Comput., 2014)

A feedback neural network for solving convex quadratic bi-level programming problems. - Jueyou Li; Chaojie Li; Zhiyou Wu; Junjian Huang (Neural Comput. Appl., 2014)

Optimality conditions and optimization methods for quartic polynomial optimization problems with mixed variables. - Liang Zhang; Zhiyou Wu (DSP, 2015)

Global optimality conditions and optimization methods for constrained polynomial programming problems. - Zhiyou Wu; Jing Tian; Julien Ugon; Liang Zhang (Appl. Math. Comput., 2015)

Gradient-free method for nonsmooth distributed optimization. - Jueyou Li; Changzhi Wu; Zhiyou Wu; Qiang Long (J. Glob. Optim., 2015)

A fast dual proximal-gradient method for separable convex optimization with linear coupled constraints. - Jueyou Li; Guo Chen 002; Zhaoyang Dong; Zhiyou Wu (Comput. Optim. Appl., 2016)

Distributed mirror descent method for saddle point problems over directed graphs. - Jueyou Li; Guo Chen 002; Zhaoyang Dong; Zhiyou Wu; Minghai Yao (Complex., 2016)

Distributed mirror descent method for multi-agent optimization with delay. - Jueyou Li; Guo Chen 002; Zhaoyang Dong; Zhiyou Wu (Neurocomputing, 2016)

An Inexact Dual Fast Gradient-Projection Method for Separable Convex Optimization with Linear Coupled Constraints. - Jueyou Li; Zhiyou Wu; Changzhi Wu; Qiang Long; Xiangyu Wang 001 (J. Optim. Theory Appl., 2016)

Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks. - Jueyou Li; Chuanye Gu; Zhiyou Wu; Changzhi Wu (Complex., 2017)

v-Nonparallel Support Vector Ordinal Regression. - Huan Li; Zhiyou Wu (DSP, 2018)

Linear lJ-nonparallel support vector machine for pattern classification. - Lina Liu; Zhiyou Wu (DSP, 2018)

Stochastic mirror descent method for distributed multi-agent optimization. - Jueyou Li; Guoquan Li; Zhiyou Wu; Changzhi Wu (Optim. Lett., 2018)

An adaptive online learning algorithm for distributed convex optimization with coupled constraints over unbalanced directed graphs. - Chuanye Gu; Jueyou Li; Zhiyou Wu (J. Frankl. Inst., 2019)

Online distributed stochastic learning algorithm for convex optimization in time-varying directed networks. - Jueyou Li; Chuanye Gu; Zhiyou Wu (Neurocomputing, 2020)

Regularized dual gradient distributed method for constrained convex optimization over unbalanced directed graphs. - Chuanye Gu; Zhiyou Wu; Jueyou Li (Numer. Algorithms, 2020)

Generalized elastic net optimal scoring problem for feature selection. - Guoquan Li; Xuxiang Duan; Zhiyou Wu; Changzhi Wu (Neurocomputing, 2021)

D.C. programming for sparse proximal support vector machines. - Guoquan Li; Linxi Yang; Zhiyou Wu; Changzhi Wu (Inf. Sci., 2021)

Online distributed dual averaging algorithm for multi-agent bandit optimization over time-varying general directed networks. - Jueyou Li; Xiaomei Zhu; Zhiyou Wu; Tingwen Huang (Inf. Sci., 2021)

Sparse adversarial attack based on ℓ q-norm for fooling the face anti-spoofing neural networks. - Linxi Yang; Jiezhi Yang; Mingjie Peng; Jiatian Pi; Zhiyou Wu; Xunyi Zhou; Jueyou Li (J. Electronic Imaging, 2021)

Robust truncated L2-norm twin support vector machine. - Linxi Yang; Guoquan Li; Zhiyou Wu; Changzhi Wu (Int. J. Mach. Learn. Cybern., 2021)

Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. - Jiayue Han; Zhiqiang Cai 004; Zhiyou Wu; Xiang Zhou 001 (IEEE Big Data, 2022)

Online Learning Algorithm for Distributed Convex Optimization With Time-Varying Coupled Constraints and Bandit Feedback. - Jueyou Li; Chuanye Gu; Zhiyou Wu; Tingwen Huang (IEEE Trans. Cybern., 2022)

Adv-Eye: A Transfer-Based Natural Eye Makeup Attack on Face Recognition. - Jiatian Pi; Junyi Zeng; Quan Lu; Ning Jiang; Haiying Wu; Linchengxi Zeng; Zhiyou Wu (IEEE Access, 2023)

Privacy-Preserving Dual Stochastic Push-Sum Algorithm for Distributed Constrained Optimization. - Chuanye Gu; Lin Jiang; Jueyou Li; Zhiyou Wu (J. Optim. Theory Appl., 2023)

An Efficient Method With Guaranteed Convergence for Window Sidelobe Magnitude Reduction. - Yong Ching Lim; Zhiyou Wu; Qinglai Liu; Paulo S. R. Diniz; Tapio Saramäki (IEEE Signal Process. Lett., 2024)