Zhengyan Yang

Orcid: 0000-0002-3501-4213

According to our database1, Zhengyan Yang authored at least 12 papers between 2019 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
ShuffleFormer: An efficient shuffle meta framework for automatic modulation classification.
Phys. Commun., December, 2023

Multi-Component Feature Extraction for Few-Sample Automatic Modulation Classification.
IEEE Commun. Lett., November, 2023

Feature Fusion Convolution-Aided Transformer for Automatic Modulation Recognition.
IEEE Commun. Lett., October, 2023

Super-resolution time delay estimation using exponential kernel correlation in impulsive noise and multipath environments.
Digit. Signal Process., March, 2023

Automatic Modulation Classification in Impulsive Noise: Hyperbolic-Tangent Cyclic Spectrum and Multibranch Attention Shuffle Network.
IEEE Trans. Instrum. Meas., 2023

End-to-End Multilingual Text Recognition Based on Byte Modeling.
Proceedings of the Image and Graphics - 12th International Conference, 2023

A Multimodal Text Block Segmentation Framework for Photo Translation.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
Multi-Mode Ultrasonic Guided Waves Based Damage Detection in L-Bars with Asymmetric Cross-Section with Sum of Multiple Signals Method.
Sensors, 2022

Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise.
Sensors, 2022

Low Rank Graph Regularization Embedding for 2D+3D Facial Expression Recognition.
J. Ubiquitous Syst. Pervasive Networks, 2022

2021
Low Rank Tucker Decomposition for 2D+3D Facial Expression Recognition.
Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

2019
High-Resolution SAR Change Detection Based on ROI and SPP Net.
IEEE Access, 2019


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