Zicong Xia

According to our database, Zicong Xia authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Distributed Nonconvex Optimal Resource Allocation via a Momentum-Based Multiagent Optimization Approach.

Zicong Xia, Wenwu Yu, Jinhu Lü

IEEE Trans. Syst. Man Cybern. Syst., May, 2025

Momentum-Based Multiagent Approaches to Distributed Nonconvex Optimization.

Zicong Xia, Yang Liu, Kit Ian Kou, Jianquan Lu, Weihua Gui

IEEE Trans. Autom. Control., May, 2025

Distributed Bilevel Constrained Optimization via Multiagent System Approaches.

Zicong Xia, Wenwu Yu, Yang Liu, Jinhu Lü

IEEE Trans. Cybern., April, 2025

Minimal finite-time observability of Markovian jump Boolean networks.

Lina Wang, Zicong Xia, Yang Liu, Shun-ichi Azuma, Weihua Gui

Syst. Control. Lett., 2025

Distributed nonconvex optimization subject to globally coupled constraints via collaborative neurodynamic optimization.

Zicong Xia, Yang Liu, Cheng Hu, Haijun Jiang

Neural Networks, 2025

Distributed neurodynamic optimization for optimal multicluster resource allocation with cardinality constraints.

Meng Lin, Zicong Xia, Shuting Sun, Yang Liu

Inf. Sci., 2025

2024

A Collaborative Neurodynamic Optimization Approach to Distributed Nash-Equilibrium Seeking in Multicluster Games With Nonconvex Functions.

Zicong Xia, Yang Liu, Wenwu Yu, Jun Wang

IEEE Trans. Cybern., May, 2024

An event-triggered collaborative neurodynamic approach to distributed global optimization.

Zicong Xia, Yang Liu, Jun Wang

Neural Networks, January, 2024

Penalty-Function-Type Multi-Agent Approaches to Distributed Nonconvex Optimal Resource Allocation.

Zicong Xia, Wenwu Yu, Yang Liu, Wenwen Jia, Guanrong Chen

IEEE Trans. Netw. Sci. Eng., 2024

A collaborative neurodynamic approach with two-timescale projection neural networks designed via majorization-minimization for global optimization and distributed global optimization.

Yangxia Li, Zicong Xia, Yang Liu, Jun Wang

Neural Networks, 2024

A p-power neurodynamic approach to distributed nonconvex optimization.

Yangxia Li, Zicong Xia, Yang Liu, Jinde Cao, Mahmoud A. Abdel-Aty

Commun. Nonlinear Sci. Numer. Simul., 2024

2023

Modified graph systems for distributed optimization.

Zicong Xia, Yang Liu, Dongyun Wang, Weihua Gui

Sci. China Inf. Sci., December, 2023

Multiobjective Distributed Optimization via a Predefined-Time Multiagent Approach.

Yang Liu, Zicong Xia, Weihua Gui

IEEE Trans. Autom. Control., November, 2023

Clifford-Valued Distributed Optimization Based on Recurrent Neural Networks.

Zicong Xia, Yang Liu, Kit Ian Kou, Jun Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Matrix-valued distributed stochastic optimization with constraints.

Zicong Xia, Yang Liu, Wenlian Lu, Weihua Gui

Frontiers Inf. Technol. Electron. Eng., September, 2023

Two-timescale recurrent neural networks for distributed minimax optimization.

Zicong Xia, Yang Liu, Jiasen Wang, Jun Wang

Neural Networks, August, 2023

A Collaborative Neurodynamic Approach to Distributed Global Optimization.

Zicong Xia, Yang Liu, Jun Wang

IEEE Trans. Syst. Man Cybern. Syst., May, 2023

A Bi-Event-Triggered Multi-Agent System for Distributed Optimization.

Banghua Huang, Yang Liu, Zicong Xia, Jun Wang

IEEE Trans. Netw. Sci. Eng., 2023

An RNN-Based Algorithm for Decentralized-Partial-Consensus Constrained Optimization.

Zicong Xia, Yang Liu, Jianlong Qiu, Qihua Ruan, Jinde Cao

IEEE Trans. Neural Networks Learn. Syst., 2023

2022

A Distributed Optimization Problem Subject to Partial-Impact Cost Functions.

Zicong Xia, Yang Liu, Jianquan Lu, Jianlong Qiu, Jinde Cao

IEEE Trans. Cybern., 2022

2021

Penalty Method for Constrained Distributed Quaternion-Variable Optimization.

Zicong Xia, Yang Liu, Jianquan Lu, Jinde Cao, Leszek Rutkowski

IEEE Trans. Cybern., 2021