Zheng Wang
Orcid: 0000-0001-6924-0270Affiliations:
- University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia
- Southwest University, College of Electronic, and Information Engineering, Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China (until 2018)
According to our database1,
Zheng Wang
authored at least 27 papers
between 2019 and 2025.
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Bibliography
2025
A fast optimization approach for seeking Nash equilibrium based on Nikaido-Isoda function, state transition algorithm and Gauss-Seidel technique.
Neurocomputing, 2025
2024
Distributed Primal-Dual Proximal Algorithms for Convex Optimization Involving Three Composite Functions.
IEEE Trans. Control. Netw. Syst., March, 2024
Pmir: an efficient privacy-preserving medical images search in cloud-assisted scenario.
Neural Comput. Appl., January, 2024
Edge-based distributed primal-dual algorithms for seeking generalized Nash equilibria.
Eur. J. Control, 2024
2023
An accelerated exact distributed first-order algorithm for optimization over directed networks.
J. Frankl. Inst., September, 2023
Primal-Dual Fixed Point Algorithms Based on Adapted Metric for Distributed Optimization.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
A Primal-Dual Forward-Backward Splitting Algorithm for Distributed Convex Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2023
2022
Decentralized Triple Proximal Splitting Algorithm With Uncoordinated Stepsizes for Nonsmooth Composite Optimization Problems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Distributed Primal-Dual Splitting Algorithm for Multiblock Separable Optimization Problems.
IEEE Trans. Autom. Control., 2022
Decentralized proximal splitting algorithms for composite constrained convex optimization.
J. Frankl. Inst., 2022
2021
Random Sleep Scheme-Based Distributed Optimization Algorithm Over Unbalanced Time-Varying Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2021
Decentralized Dual Proximal Gradient Algorithms for Non-Smooth Constrained Composite Optimization Problems.
IEEE Trans. Parallel Distributed Syst., 2021
Distributed Nesterov Gradient and Heavy-Ball Double Accelerated Asynchronous Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Control. Netw. Syst., 2021
2020
Computation-Efficient Distributed Algorithm for Convex Optimization Over Time-Varying Networks With Limited Bandwidth Communication.
IEEE Trans. Signal Inf. Process. over Networks, 2020
IEEE Trans. Netw. Sci. Eng., 2020
Distributed Robust Algorithm for Economic Dispatch in Smart Grids Over General Unbalanced Directed Networks.
IEEE Trans. Ind. Informatics, 2020
On the convergence of exact distributed generalisation and acceleration algorithm for convex optimisation.
Int. J. Syst. Sci., 2020
2019
J. Frankl. Inst., 2019
Distributed consensus-based multi-agent convex optimization via gradient tracking technique.
J. Frankl. Inst., 2019
Accelerated Distributed Optimization over Directed Graphs with Row and Column-Stochastic Matrices.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019