Qin Li

Orcid: 0000-0002-3669-1830

Affiliations:

New Jersey Institute of Technology, Big Bear Solar Observatory, Newark, NJ, USA

According to our database¹, Qin Li authored at least 28 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges.

[BibT_eX]

[DOI]

CoRR, 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

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper].

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model.

[BibT_eX]

[DOI]

Yutao Du

Qin Li

Raghav Gnanasambandam

Mengnan Du

Haimin Wang

Bo Shen

Proceedings of the IEEE International Conference on Big Data, 2024

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

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

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

Dataset, June, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

Dataset, June, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

Dataset, June, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

Dataset, June, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

Dataset, June, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

Dataset, June, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

Dataset, June, 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

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[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

Qin Li

Timeline

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Bibliography

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