Mesh simplification with average planes for 3-D image. - Jianlin Gao; MengChu Zhou; Haimin Wang (SMC, 2000)

Three dimensional surface warping for plastic surgery planning. - Jianlin Gao; MengChu Zhou; Haimin Wang; Chongzhe Zhang (SMC, 2001)

Solar flare tracking using image processing techniques. - Ming Qu; Frank Y. Shih; Ju Jing; Haimin Wang (ICME, 2004)

Automatic Solar Flare Tracking. - Ming Qu; Frank Y. Shih; Ju Jing; Haimin Wang; David Rees (KES, 2004)

Farmers' Access to Internet Information: Pathways, Interests and Cost. - Gubo Qi; Haimin Wang; Ting Zuo (CCTA, 2007)

Automatic Detection of Prominence Eruption Using Consecutive Solar Images. - Gang Fu; Frank Y. Shih; Haimin Wang (IEEE Trans. Circuits Syst. Video Technol., 2007)

Automatic Detection of Magnetic Flux Emergings in the Solar Atmosphere From Full-Disk Magnetogram Sequences. - Gang Fu; Frank Y. Shih; Haimin Wang (IEEE Trans. Image Process., 2008)

EUV Images Features for Solar Prominence Eruption Detection. - Ju Jing; Haimin Wang; John Jenq (CSC, 2009)

A kernel-based parametric method for conditional density estimation. - Gang Fu; Frank Y. Shih; Haimin Wang (Pattern Recognit., 2011)

Predicting Solar Flares Using a Long Short-Term Memory Network. - Hao Liu 025; Chang Liu 080; Jason T. L. Wang; Haimin Wang (CoRR, 2019)

Predicting Solar Flares Using a Long Short-term Memory Network. - Hao Liu 054; Chang Liu 080; Jason Tsong-Li Wang; Haimin Wang (Zenodo, 2019)

Predicting Solar Flares Using a Long Short-term Memory Network. - Hao Liu 054; Chang Liu 080; Jason Tsong-Li Wang; Haimin Wang (Zenodo, 2019)

Prism2/LSTM-flare-prediction: v1.0.1. - Hao Liu 054; Chang Liu 080; Jason Tsong-Li Wang; Haimin Wang (Zenodo, 2019)

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. - Hao Liu 025; Chang Liu 080; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. - Hao Liu 025; Yan Xu 014; Jiasheng Wang; Ju Jing; Chang Liu 080; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

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)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 025; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. - Yasser Abduallah; Jason T. L. Wang; Yang Nie; Chang Liu 080; Haimin Wang (CoRR, 2020)

Reconstruction of Total Solar Irradiance by Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Yucong Shen; Khalid A. Alobaid; Serena Criscuoli; Haimin Wang (FLAIRS, 2021)

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)

Deep Learning Based Reconstruction of Total Solar Irradiance. - Yasser Abduallah; Jason T. L. Wang; Yucong Shen; Khalid A. Alobaid; Serena Criscuoli; Haimin Wang (CoRR, 2021)

Predicting Solar Flares with Machine Learning. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Predicting Solar Flares with Machine Learning. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Predicting Solar Flares with Machine Learning. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Predicting Solar Flares with Machine Learning. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. - Hao Liu 054; Chang Liu 080; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Predicting Solar Flares Using a Long Short-term Memory Network. - Hao Liu 054; Chang Liu 080; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Predicting Solar Flares Using a Long Short-term Memory Network. - Hao Liu 054; Chang Liu 080; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. - Hao Liu 054; Chang Liu 080; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (FLAIRS, 2022)

A Transformer-Based Framework for Geomagnetic Activity Prediction. - Yasser Abduallah; Jason T. L. Wang; Chunhui Xu 002; Haimin Wang (ISMIS, 2022)

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)

A Deep Learning Approach to Dst Index Prediction. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; 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)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Predicting Solar Flares with Machine Learning. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Reconstruction of Total Solar Irradiance by Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Yucong Shen; Khalid A. Alobaid; Serena Criscuoli; Haimin Wang (Zenodo, 2022)

A Transformer-Based Framework for Geomagnetic Activity Prediction. - Yasser Abduallah; Jason T. L. Wang; Chunhui Xu 002; Haimin Wang (Zenodo, 2022)

A Transformer-Based Framework for Geomagnetic Activity Prediction. - Yasser Abduallah; Jason T. L. Wang; Chunhui Xu 002; Haimin Wang (Zenodo, 2022)

A Transformer-Based Framework for Geomagnetic Activity Prediction. - Yasser Abduallah; Jason T. L. Wang; Chunhui Xu 002; Haimin Wang (Zenodo, 2022)

Predicting CME Arrival Time through Data Integration and Ensemble Learning. - Khalid A. Alobaid; Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting CME Arrival Time through Data Integration and Ensemble Learning. - Khalid A. Alobaid; Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting CME Arrival Time through Data Integration and Ensemble Learning. - Khalid A. Alobaid; Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Predicting CME Arrival Time through Data Integration and Ensemble Learning. - Khalid A. Alobaid; Yasser Abduallah; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Reconstruction of Total Solar Irradiance by Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Yucong Shen; Khalid A. Alobaid; Serena Criscuoli; Haimin Wang (Zenodo, 2022)

Reconstruction of Total Solar Irradiance by Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Yucong Shen; Khalid A. Alobaid; Serena Criscuoli; Haimin Wang (Zenodo, 2022)

Reconstruction of Total Solar Irradiance by Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Yucong Shen; Khalid A. Alobaid; Serena Criscuoli; Haimin Wang (Zenodo, 2022)

Reconstruction of Total Solar Irradiance by Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Yucong Shen; Khalid A. Alobaid; Serena Criscuoli; 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 L; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; 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)

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. - Hao Liu 054; Chang Liu 080; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models. - Khalid A. Alobaid; Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Shen Fan; Jialiang Li; Huseyin Cavus; Vasyl Yurchyshyn (CoRR, 2023)

Predicting Solar Flares with Machine Learning. - Yasser Abduallah; 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)

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)

Operational prediction of solar flares using a transformer-based framework. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Yan Xu 014 (Zenodo, 2023)

Operational prediction of solar flares using a transformer-based framework. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Yan Xu 014 (Zenodo, 2023)

Operational prediction of solar flares using a transformer-based framework. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Yan Xu 014 (Zenodo, 2023)

Operational prediction of solar flares using a transformer-based framework. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Yan Xu 014 (Zenodo, 2023)

Operational prediction of solar flares using a transformer-based framework. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Yan Xu 014 (Zenodo, 2023)

Operational Prediction of Solar Flares Using a Transformer-Based Framework. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Yan Xu 014 (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)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobaid; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (CoRR, 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)

Neural Operator for Accelerating Coronal Magnetic Field Model. - Yutao Du; Qin Li; Raghav Gnanasambandam; Mengnan Du; Haimin Wang; Bo Shen 001 (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)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Ju Jing (J. Intell. Inf. Syst., 2024)

Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning. - Khalid A. Alobaid; Jason T. L. Wang; Haimin Wang; Ju Jing; Yasser Abduallah; Zhenduo Wang; Hameedullah Farooki; Huseyin Cavus; Vasyl Yurchyshyn (CoRR, 2025)

An Interpretable Machine Learning Approach to Understanding the Relationships between Solar Flares and Source Active Regions. - Huseyin Cavus; Jason T. L. Wang; Teja P. S. Singampalli; Gani Caglar Coban; Hongyang Zhang; Abd-ur Raheem; Haimin Wang (CoRR, 2025)

Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model. - Hongyang Zhang; Ju Jing; Jason T. L. Wang; Haimin Wang; Yasser Abduallah; Yan Xu 014; Khalid A. Alobaid; Hameedullah Farooki; Vasyl Yurchyshyn (CoRR, 2025)

Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model. - Jialiang Li; Vasyl Yurchyshyn; Jason T. L. Wang; Haimin Wang; Yasser Abduallah; Khalid A. Alobaid; Chunhui Xu 002; Ruizhu Chen; Yan Xu 014 (CoRR, 2025)