Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. - Gelu Nita; Manolis K. Georgoulis; Irina Kitiashvili; Viacheslav Sadykov; Enrico Camporeale; Alexander Kosovichev; Haimin Wang; Vincent Oria; Jason T. L. Wang; Rafal A. Angryk; Berkay Aydin; Azim Ahmadzadeh; et al. (CoRR, 2020)

Tracing Halpha Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (CoRR, 2021)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 025; Qin Li 020; Jason T. L. Wang; Haimin Wang (CoRR, 2022)

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (CoRR, 2022)

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. - Haodi Jiang; Qin Li 020; Zhihang Hu; Nian Liu; Yasser Abduallah; Ju Jing; Genwei Zhang; Yan Xu 014; Wynne Hsu; Jason T. L. Wang; Haimin Wang (CoRR, 2022)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 054; Qin Li 020; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 054; Qin Li 020; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 054; Qin Li 020; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 054; Qin Li 020; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 054; Qin Li 020; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 054; Qin Li 020; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 054; Qin Li 020; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model. - Yutao Du; Qin Li 020; Raghav Gnanasambandam; Mengnan Du; Haimin Wang; Bo Shen (IEEE Big Data, 2024)

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]. - Bo Shen; Marco Marena; Chenyang Li; Qin Li 020; Haodi Jiang; Mengnan Du; Jiajun Xu; Haimin Wang (IEEE Big Data, 2024)

Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. - Chunhui Xu 002; Jason T. L. Wang; Haimin Wang; Haodi Jiang; Qin Li 020; Yasser Abduallah; Yan Xu 014 (CoRR, 2024)

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges. - Bo Shen; Marco Marena; Chenyang Li; Qin Li 020; Haodi Jiang; Mengnan Du; Jiajun Xu; Haimin Wang (CoRR, 2024)