Zehui Zhang

Orcid: 0009-0006-1830-6018

According to our database1, Zehui Zhang authored at least 26 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Detrended partial cross-correlation analysis-random matrix theory for denoising network construction.
Appl. Intell., January, 2025

2024
Detection and Analysis of Broken Access Control Vulnerabilities in App-Cloud Interaction in IoT.
IEEE Internet Things J., September, 2024

Prompting and Tuning: In-Band Interference Segmentation Using Segment Anything Model.
IEEE Wirel. Commun. Lett., August, 2024

A cloud model-based interval-valued evidence fusion method and its application in fault diagnosis.
Inf. Sci., February, 2024

Observer-Based Fuzzy Adaptive Fault-Tolerant Control for NSC System of USV With Sideslip Angle and Steering Machine Fault.
IEEE Trans. Intell. Veh., January, 2024

A novel evidence reasoning-based RUL prediction method integrating uncertainty information.
Reliab. Eng. Syst. Saf., 2024

2023
An FLL Providing Real-Time Frequency Calibration for OOK Power Oscillator Transmitters.
IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

Hashing-based remote sensing image tamper detection system.
Digit. Signal Process., August, 2023

Bifurcation Behavior Analysis and Stability Region Discrimination for Series-Parallel Architecture Electric Energy Router.
Int. J. Bifurc. Chaos, June, 2023

Offline Real-World Wireless Interference Signal Classification Algorithm Utilizing Denoising Diffusion Probability Model.
IEEE Signal Process. Lett., 2023

Deep Learning-Aided Modulation Recognition for Non-Orthogonal Signals.
Sensors, 2023

Efficient Privacy-Preserving Federated Deep Learning for Network Intrusion of Industrial IoT.
Int. J. Intell. Syst., 2023

2022
DetectPMFL: Privacy-Preserving Momentum Federated Learning Considering Unreliable Industrial Agents.
IEEE Trans. Ind. Informatics, 2022

Optimized visually meaningful image embedding strategy based on compressive sensing and 2D DWT-SVD.
Multim. Tools Appl., 2022

Medical images lossless recovery based on POB number system and image compression.
Multim. Tools Appl., 2022

Workflow performance prediction based on graph structure aware deep attention neural network.
J. Ind. Inf. Integr., 2022

Adaptive Privacy-Preserving Federated Learning for Fault Diagnosis in Internet of Ships.
IEEE Internet Things J., 2022

2021
Spatio-Temporal Multi-Scale Convolutional Network for Traffic Forecasting.
Proceedings of the ICCDE 2021: 7th International Conference on Computing and Data Engineering, Phuket, Thailand, January 15, 2021

2020
Privacy-Preserving Federated Learning.
Dataset, October, 2020

A Hybrid Image Encryption Algorithm Based on Chaos System and Simplified Advanced Encryption System.
Int. J. Multim. Data Eng. Manag., 2020

Real-Time Optimization Energy Management Strategy for Fuel Cell Hybrid Ships Considering Power Sources Degradation.
IEEE Access, 2020

A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image.
IEEE Access, 2020

Crowd Density Estimation Based on Convolutional Neural Network.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

2019
A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion.
Sensors, 2019

Web Service QoS Classification Based on Optimized Convolutional Neural Network.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Traffic Flow Prediction Based on Self-attention Mechanism and Deep Packet Residual Network.
Proceedings of the ICIT 2019, 2019


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