Ming Cheng

Orcid: 0000-0002-4859-2004

Affiliations:

Jilin University, College of Instrumentation and Electrical Engineering, Changchun, China
Northeast Electric Power University, Department of Communication Engineering, College of Electric Engineering, Jilin, China (former)

According to our database¹, Ming Cheng authored at least 9 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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Bibliography

2024

Joint-Guided Denoising Network for Erratic Noise Attenuation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Seismic Interpolation Transformer for Consecutively Missing Data: A Case Study in DAS-VSP Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

HGMFN:Hierarchical Guided Multicascade Feedback Network for Complex Seismic Data Reconstruction.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Multiscale Encoder-Decoder Network for DAS Data Simultaneous Denoising and Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

A Potential Solution to Insufficient Target-Domain Noise Data: Transfer Learning and Noise Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Seismic Data Reconstruction Based on Multiscale Attention Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Seismic Random Noise Attenuation by Applying Multiscale Denoising Convolutional Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

RCEN: A Deep-Learning-Based Background Noise Suppression Method for DAS-VSP Records.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Seismic Random Noise Suppression by Using Adaptive Fractal Conservation Law Method Based on Stationarity Testing.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

Ming Cheng

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