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2020 – today
- 2024
[j4]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Ju Jing:
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. J. Intell. Inf. Syst. 62(4): 887-903 (2024)- [i17]Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing:
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. CoRR abs/2402.17196 (2024) - [i16]Chunhui Xu, Jason T. L. Wang, Haimin Wang, Haodi Jiang, Qin Li, Yasser Abduallah, Yan Xu:
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. CoRR abs/2403.18302 (2024) - [i15]Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen:
Neural Operator for Accelerating Coronal Magnetic Field Model. CoRR abs/2405.12754 (2024) - [i14]Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang:
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges. CoRR abs/2409.04850 (2024) - 2023
- [d54]Yasser Abduallah
, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2023
- [d53]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d52]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d51]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d50]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d49]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d48]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d47]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d46]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [i13]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Shen Fan, Jialiang Li, Huseyin Cavus, Vasyl Yurchyshyn:
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models. CoRR abs/2312.01691 (2023) - 2022
- [c9]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. FLAIRS 2022 - [c8]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. ISMIS 2022: 325-335 - [d45]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d44]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d43]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d42]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d41]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d40]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d39]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d38]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d37]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d36]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d35]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d34]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d33]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d32]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d31]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d30]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d29]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d28]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2022 - [d27]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Zenodo, 2022 - [d26]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Zenodo, 2022 - [d25]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Zenodo, 2022 - [d24]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d23]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d22]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d21]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d20]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d19]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d18]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d17]Haodi Jiang, Qin L, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2022 - [d16]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2022 - [d15]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. Zenodo, 2022 - [i12]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. CoRR abs/2203.14393 (2022) - [i11]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
A Deep Learning Approach to Dst Index Prediction. CoRR abs/2205.02447 (2022) - [i10]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks. CoRR abs/2210.04122 (2022) - [i9]Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang:
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. CoRR abs/2211.02278 (2022) - 2021
- [c7]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. FLAIRS 2021 - [d14]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d13]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d12]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d11]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d10]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d9]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d8]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d7]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. Zenodo, 2021 - [d6]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2021 - [d5]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2021 - [d4]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. Zenodo, 2021 - [i8]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Halpha Fibrils through Bayesian Deep Learning. CoRR abs/2107.07886 (2021) - [i7]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Deep Learning Based Reconstruction of Total Solar Irradiance. CoRR abs/2107.11042 (2021) - 2020
- [i6]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. CoRR abs/2002.10953 (2020) - [i5]Hao Liu, Yan Xu, Jiasheng Wang, Ju Jing, Chang Liu, Jason T. L. Wang, Haimin Wang:
Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. CoRR abs/2005.03945 (2020) - [i4]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, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu:
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR abs/2006.12224 (2020) - [i3]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. CoRR abs/2008.12080 (2020) - [i2]Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang:
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. CoRR abs/2009.04238 (2020)
2010 – 2019
- 2019
- [d3]Hao Liu, Chang Liu, Jason Tsong-Li Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2019 - [d2]Hao Liu, Chang Liu, Jason Tsong-Li Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2019 - [d1]Hao Liu, Chang Liu, Jason Tsong-Li Wang, Haimin Wang:
Prism2/LSTM-flare-prediction: v1.0.1. Zenodo, 2019 - [i1]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-Term Memory Network. CoRR abs/1905.07095 (2019) - 2011
- [j3]Gang Fu, Frank Y. Shih, Haimin Wang:
A kernel-based parametric method for conditional density estimation. Pattern Recognit. 44(2): 284-294 (2011)
2000 – 2009
- 2009
- [c6]Ju Jing, Haimin Wang, John Jenq:
EUV Images Features for Solar Prominence Eruption Detection. CSC 2009: 69-72 - 2008
- [j2]Gang Fu, Frank Y. Shih, Haimin Wang:
Automatic Detection of Magnetic Flux Emergings in the Solar Atmosphere From Full-Disk Magnetogram Sequences. IEEE Trans. Image Process. 17(11): 2174-2185 (2008) - 2007
- [j1]Gang Fu, Frank Y. Shih, Haimin Wang:
Automatic Detection of Prominence Eruption Using Consecutive Solar Images. IEEE Trans. Circuits Syst. Video Technol. 17(1): 79-85 (2007) - [c5]Gubo Qi, Haimin Wang, Ting Zuo:
Farmers' Access to Internet Information: Pathways, Interests and Cost. CCTA 2007: 1155-1168 - 2004
- [c4]Ming Qu, Frank Y. Shih, Ju Jing, Haimin Wang:
Solar flare tracking using image processing techniques. ICME 2004: 347-350 - [c3]Ming Qu, Frank Y. Shih, Ju Jing, Haimin Wang, David Rees:
Automatic Solar Flare Tracking. KES 2004: 419-425 - 2001
- [c2]Jianlin Gao, MengChu Zhou, Haimin Wang, Chongzhe Zhang:
Three dimensional surface warping for plastic surgery planning. SMC 2001: 2016-2021 - 2000
- [c1]Jianlin Gao, MengChu Zhou, Haimin Wang:
Mesh simplification with average planes for 3-D image. SMC 2000: 1412-1417
Coauthor Index
Jason Tsong-Li Wang
aka: Jason T. L. Wang
aka: Jason T. L. Wang
[j4] [i17] [i16] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [i13] [c9] [c8] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [d25] [d24] [d23] [d22] [d21] [d20] [d19] [d18] [d17] [d16] [d15] [i12] [i11] [i10] [i9] [c7] [d14] [d13] [d12] [d11] [d10] [d9] [d8] [d7] [d6] [d5] [d4] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [d3] [d2] [d1] [i1]
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last updated on 2024-10-31 21:08 CET by the dblp team
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