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Journal Articles
- 2024
[j1]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)
Conference and Workshop Papers
- 2009
- [c3]Ju Jing, Haimin Wang, John Jenq:
EUV Images Features for Solar Prominence Eruption Detection. CSC 2009: 69-72 - 2004
- [c2]Ming Qu, Frank Y. Shih, Ju Jing, Haimin Wang:
Solar flare tracking using image processing techniques. ICME 2004: 347-350 - [c1]Ming Qu, Frank Y. Shih, Ju Jing, Haimin Wang, David Rees:
Automatic Solar Flare Tracking. KES 2004: 419-425
Data and Artifacts
- 2023
- [d10]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
- [d9]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 - [d8]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 - [d7]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 - 2022
- [d6]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 - [d5]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 - [d4]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 - 2021
- [d3]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 - [d2]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 - [d1]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
Informal and Other Publications
- 2024
- [i5]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) - 2022
- [i4]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
- [i3]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) - 2020
- [i2]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) - [i1]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)
Coauthor Index
aka: Jason T. L. Wang
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