Yan Xu

Affiliations:

New Jersey Institute of Technology, Institute for Space Weather Sciences, Newark, NJ, USA

According to our database¹, Yan Xu authored at least 27 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model.

[BibT_eX]

[DOI]

CoRR, March, 2025

Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model.

[BibT_eX]

[DOI]

CoRR, March, 2025

2024

Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Operational Prediction of Solar Flares Using a Transformer-Based Framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, July, 2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

2022

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, December, 2022

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, December, 2022

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data.

[BibT_eX]

[DOI]

CoRR, 2022

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Tracing Halpha Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2020

Yan Xu

Timeline

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On csauthors.net:

Bibliography

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