Jiawei Zhuang

Orcid: 0000-0002-2240-3201

According to our database1, Jiawei Zhuang authored at least 18 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Non-fragile exponential synchronisation of stochastic neural networks via aperiodic intermittent impulsive control.
Int. J. Syst. Sci., April, 2024

Dynamic event-triggered neuro-optimal control for uncertain nonlinear systems with unknown dead-zone constraint.
Commun. Nonlinear Sci. Numer. Simul., 2024

2023
Siegel distance-based fusion strategy and differential evolution algorithm for cooperative spectrum sensing.
Digit. Signal Process., October, 2023

A geodesic projection-based data fusion scheme for cooperative spectrum sensing.
Digit. Signal Process., 2023

Towards Structured Algebraic Programming.
Proceedings of the 9th ACM SIGPLAN International Workshop on Libraries, 2023

2022
Riemannian Mean Shift-Based Data Fusion Scheme for Multi-Antenna Cooperative Spectrum Sensing.
IEEE Trans. Cogn. Commun. Netw., 2022

Event-Triggered Intermittent-Based Impulsive Control for Stabilization of Nonlinear Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Leader-Following Consensus of Discrete-Time Stochastic Nonlinear Multiagent Systems Under Fixed and Switching Topologies via Impulsive Control.
IEEE Syst. J., 2022

Riemannian Distance-Based Fast K-Medoids Clustering Algorithm for Cooperative Spectrum Sensing.
IEEE Syst. J., 2022

Exponential consensus of nonlinear stochastic discrete-time multi-agent systems with time-varying delay via impulsive control.
Int. J. Syst. Sci., 2022

Exponential consensus of stochastic discrete multi-agent systems under DoS attacks via periodically intermittent control: An impulsive framework.
Appl. Math. Comput., 2022

2021
A Novel Clustering Algorithm Based on Information Geometry for Cooperative Spectrum Sensing.
IEEE Syst. J., 2021

Centralized spectrum sensing based on covariance matrix decomposition and particle swarm clustering.
Phys. Commun., 2021

A Novel Method Based on Random Matrix Theory and Mean Shift Clustering for Spectrum Sensing.
Proceedings of the Wireless Sensor Networks - 15th China Conference, 2021

2020
A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation.
CoRR, 2020

Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing.
IEEE Access, 2020

Blind Spectrum Sensing Based on the Statistical Covariance Matrix and K-Median Clustering Algorithm.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

2019
A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering.
IEEE Access, 2019


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