Zheng Wang

Orcid: 0000-0001-6924-0270

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Distributed Optimization for Energy Management in Microgrids.
PhD thesis, 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

Decentralized Dual Operator Splitting for Nonsmooth Composite Optimization.
IEEE Trans. Netw. Sci. Eng., 2022

S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Distributed Constrained Optimization With Asynchrony and Delays.
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

A Distributed Stochastic Proximal-Gradient Algorithm for Composite Optimization.
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

Edge-Based Stochastic Gradient Algorithm for Distributed Optimization.
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
Primal-dual stochastic distributed algorithm for constrained convex optimization.
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


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