Jueyou Li
Orcid: 0000-0003-3537-1162
According to our database1,
Jueyou Li
authored at least 26 papers
between 2010 and 2025.
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Bibliography
2025
Federated dual averaging learning algorithm with delayed gradients for composite optimization.
Inf. Sci., 2025
2024
Online Distributed Stochastic Gradient Algorithm for Nonconvex Optimization With Compressed Communication.
IEEE Trans. Autom. Control., February, 2024
2023
Online bandit convex optimisation with stochastic constraints via two-point feedback.
Int. J. Syst. Sci., July, 2023
Neural Comput. Appl., April, 2023
Privacy-Preserving Dual Stochastic Push-Sum Algorithm for Distributed Constrained Optimization.
J. Optim. Theory Appl., April, 2023
2022
Online Learning Algorithm for Distributed Convex Optimization With Time-Varying Coupled Constraints and Bandit Feedback.
IEEE Trans. Cybern., 2022
2021
IEEE Trans. Netw. Sci. Eng., 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
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
J. Control. Decis., 2019
Appl. Soft Comput., 2019
2018
Noncooperative Game-Based Distributed Charging Control for Plug-In Electric Vehicles in Distribution Networks.
IEEE Trans. Ind. Informatics, 2018
Optim. Lett., 2018
2017
A Comprehensive Model With Fast Solver for Optimal Energy Scheduling in RTP Environment.
IEEE Trans. Smart Grid, 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
2014
A feedback neural network for solving convex quadratic bi-level programming problems.
Neural Comput. Appl., 2014
2013
2010