Yunyang Zhang
Orcid: 0000-0002-2320-065X
According to our database1,
Yunyang Zhang authored at least 31 papers
between 2019 and 2026.
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Bibliography
2026
IEEE Commun. Mag., April, 2026
IEEE Trans. Wirel. Commun., 2026
A Robust Trust Management System for V2X Networks Integrating ISAC With Blockchain Smart Contracts.
IEEE Trans. Netw. Serv. Manag., 2026
Jamming Exploitation-Enabled Covert Transmission in Satellite-Aerial-Terrestrial Networks: Countering Adversaries With Their Own Methods.
IEEE J. Sel. Areas Commun., 2026
IEEE J. Sel. Areas Commun., 2026
2025
Covertness Performance Analysis and Optimization for Random Selection of Channel Use.
IEEE Trans. Veh. Technol., November, 2025
Analysis and Optimization of UAV-Assisted Covert Communications in Interweave Cognitive Radio Networks.
IEEE Trans. Cogn. Commun. Netw., October, 2025
GRLR: Routing With Graph Neural Network and Reinforcement Learning for Mega LEO Satellite Constellations.
IEEE Trans. Veh. Technol., February, 2025
2024
IEEE Internet Things J., December, 2024
Digit. Signal Process., January, 2024
A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction.
Expert Syst. Appl., 2024
Uncertainty guided ensemble self-training for semi-supervised global field reconstruction.
Complex Intell. Syst., 2024
2023
Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data.
Eng. Appl. Artif. Intell., 2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network.
Eng. Appl. Artif. Intell., 2023
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator.
CoRR, 2023
A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
IEEE Trans. Aerosp. Electron. Syst., 2022
Consistency regularization-based deep polynomial chaos neural network method for reliability analysis.
Reliab. Eng. Syst. Saf., 2022
Deep Learning (DL)-Based Channel Prediction and Hybrid Beamforming for LEO Satellite Massive MIMO System.
IEEE Internet Things J., 2022
Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering.
CoRR, 2022
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision.
CoRR, 2022
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis.
CoRR, 2022
Improved Slime Mold Algorithm with Dynamic Quantum Rotation Gate and Opposition-Based Learning for Global Optimization and Engineering Design Problems.
Algorithms, 2022
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2022
Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision.
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
Deep Learning-Based Channel Prediction for LEO Satellite Massive MIMO Communication System.
IEEE Wirel. Commun. Lett., 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
2019
IEEE Trans. Serv. Comput., 2019
Low Grating Lobe Array Antenna With Electrically Large Property Based on TM<sub>50</sub> Mode.
IEEE Access, 2019
High Gain and Low Grating Lobe Electrically Large Array Antenna by Using Fabry-Perot Cavity.
IEEE Access, 2019