Yunyang Zhang

Orcid: 0000-0002-2320-065X

According to our database1, Yunyang Zhang authored at least 22 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Contrastive enhancement using latent prototype for few-shot segmentation.
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

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

Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction.
CoRR, 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
Joint STO and DFO Estimation for SEFDM in Low-Earth-Orbit Satellite Communications.
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

PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

LogStore: A Cloud-Native and Multi-Tenant Log Database.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2019
Cost-Efficient Consolidating Service for Aliyun's Cloud-Scale Computing.
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


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