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2020 – today
- 2025
[j17]Zicong Xia, Yang Liu, Cheng Hu, Haijun Jiang:
Distributed nonconvex optimization subject to globally coupled constraints via collaborative neurodynamic optimization. Neural Networks 184: 107027 (2025)- [j16]Lina Wang, Zicong Xia, Yang Liu, Shun-ichi Azuma, Weihua Gui:
Minimal finite-time observability of Markovian jump Boolean networks. Syst. Control. Lett. 196: 106007 (2025) - 2024
- [j15]Yangxia Li, Zicong Xia, Yang Liu, Jinde Cao, Mahmoud A. Abdel-Aty:
A p-power neurodynamic approach to distributed nonconvex optimization. Commun. Nonlinear Sci. Numer. Simul. 134: 107999 (2024) - [j14]Zicong Xia, Yang Liu, Jun Wang
:
An event-triggered collaborative neurodynamic approach to distributed global optimization. Neural Networks 169: 181-190 (2024) - [j13]Yangxia Li, Zicong Xia, Yang Liu, Jun Wang:
A collaborative neurodynamic approach with two-timescale projection neural networks designed via majorization-minimization for global optimization and distributed global optimization. Neural Networks 179: 106525 (2024) - [j12]Zicong Xia, Yang Liu, Wenwu Yu, Jun Wang:
A Collaborative Neurodynamic Optimization Approach to Distributed Nash-Equilibrium Seeking in Multicluster Games With Nonconvex Functions. IEEE Trans. Cybern. 54(5): 3105-3119 (2024) - [j11]Zicong Xia, Wenwu Yu, Yang Liu, Wenwen Jia, Guanrong Chen:
Penalty-Function-Type Multi-Agent Approaches to Distributed Nonconvex Optimal Resource Allocation. IEEE Trans. Netw. Sci. Eng. 11(5): 4169-4180 (2024) - 2023
- [j10]Zicong Xia, Yang Liu, Dongyun Wang, Weihua Gui:
Modified graph systems for distributed optimization. Sci. China Inf. Sci. 66(12) (2023) - [j9]Zicong Xia, Yang Liu, Wenlian Lu, Weihua Gui:
Matrix-valued distributed stochastic optimization with constraints. Frontiers Inf. Technol. Electron. Eng. 24(9): 1239-1252 (2023) - [j8]Zicong Xia, Yang Liu, Jiasen Wang, Jun Wang:
Two-timescale recurrent neural networks for distributed minimax optimization. Neural Networks 165: 527-539 (2023) - [j7]Yang Liu, Zicong Xia, Weihua Gui:
Multiobjective Distributed Optimization via a Predefined-Time Multiagent Approach. IEEE Trans. Autom. Control. 68(11): 6998-7005 (2023) - [j6]Zicong Xia, Yang Liu, Jianlong Qiu, Qihua Ruan, Jinde Cao:
An RNN-Based Algorithm for Decentralized-Partial-Consensus Constrained Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(1): 534-542 (2023) - [j5]Zicong Xia, Yang Liu, Kit Ian Kou, Jun Wang:
Clifford-Valued Distributed Optimization Based on Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7248-7259 (2023) - [j4]Banghua Huang, Yang Liu, Zicong Xia, Jun Wang:
A Bi-Event-Triggered Multi-Agent System for Distributed Optimization. IEEE Trans. Netw. Sci. Eng. 10(2): 1074-1084 (2023) - [j3]Zicong Xia, Yang Liu, Jun Wang:
A Collaborative Neurodynamic Approach to Distributed Global Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 3141-3151 (2023) - 2022
- [j2]Zicong Xia, Yang Liu, Jianquan Lu, Jianlong Qiu, Jinde Cao:
A Distributed Optimization Problem Subject to Partial-Impact Cost Functions. IEEE Trans. Cybern. 52(11): 12612-12617 (2022) - 2021
- [j1]Zicong Xia, Yang Liu, Jianquan Lu, Jinde Cao, Leszek Rutkowski:
Penalty Method for Constrained Distributed Quaternion-Variable Optimization. IEEE Trans. Cybern. 51(11): 5631-5636 (2021)
Coauthor Index
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