Shuai Wang

Orcid: 0000-0002-1796-7280

Affiliations:
  • Sun Yat-sen University, Shenzhen, China
  • Xidian University, School of Electronic Engineering, Xi'an, China (2015-2020)


According to our database1, Shuai Wang authored at least 26 papers between 2017 and 2024.

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Bibliography

2024
PDLC-LIO: A Precise and Direct SLAM System Toward Large-Scale Environments With Loop Closures.
IEEE Trans. Intell. Transp. Syst., January, 2024

Finding robust and influential nodes on directed networks using a memetic algorithm.
Swarm Evol. Comput., 2024

A multi-factor evolutionary algorithm for solving the multi-tasking robust optimization problem on networked systems.
Appl. Soft Comput., 2024

Constructing Robust and Influential Networks Against Cascading Failures via a Multi-objective Evolutionary Algorithm.
Proceedings of the Advances in Swarm Intelligence, 2024

2023
A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks.
Connect. Sci., December, 2023

A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem.
IEEE Comput. Intell. Mag., August, 2023

Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

A Memetic algorithm for determining robust and influential seeds against structural perturbances in competitive networks.
Inf. Sci., April, 2023

Finding robust influential seeds from networked systems against structural failures using a niching memetic algorithm.
Appl. Soft Comput., March, 2023

Enhancing the robustness of influential seeds towards structural failures on competitive networks via a Memetic algorithm.
Knowl. Based Syst., 2023

A Memetic Algorithm for Solving the Robust Influence Problem on Directed Networks.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Solving the Multitasking Robust Influence Maximization Problem on Networks using a Multi-factorial Evolutionary Algorithm.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Memetic Algorithm to solve the Robust Influence Maximization Problems against Cascading Failures.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Determining seeds with robust influential ability from multi-layer networks: A multi-factorial evolutionary approach.
Knowl. Based Syst., 2022

Solving the robust influence maximization problem on multi-layer networks via a Memetic algorithm.
Appl. Soft Comput., 2022

2021
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization.
IEEE Trans. Evol. Comput., 2021

Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm.
IEEE Trans. Cybern., 2021

2020
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding.
IEEE Trans. Evol. Comput., 2020

Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm.
IEEE Comput. Intell. Mag., 2020

2019
Constructing Robust Community Structure Against Edge-Based Attacks.
IEEE Syst. J., 2019

Designing comprehensively robust networks against intentional attacks and cascading failures.
Inf. Sci., 2019

Community robustness and its enhancement in interdependent networks.
Appl. Soft Comput., 2019

2018
A Multi-Objective Evolutionary Algorithm for Promoting the Emergence of Cooperation and Controllable Robustness on Directed Networks.
IEEE Trans. Netw. Sci. Eng., 2018

2017
A comparative study of network robustness measures.
Frontiers Comput. Sci., 2017

Enhancing the robustness of complex networks against edge-based-attack cascading failures.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A multi-agent genetic algorithm for improving the robustness of communities in complex networks against attacks.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017


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