J. T. Wang

发表

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning

Firas Gerges, Prianka Bose, Yasser Abduallah, 2022, The International FLAIRS Conference Proceedings.

A Deep Learning Approach to Dst Index Prediction

Firas Gerges, Prianka Bose, Yasser Abduallah, 2022, ArXiv.

Predicting CME arrival time through data integration and ensemble learning

Khalid A. Alobaid, Yan Xu, V. Yurchyshyn, 2022, Frontiers in Astronomy and Space Sciences.

Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine Learning Methods

Zuofeng Shang, J. Jing, J. T. Wang, 2022, 2209.13779.

Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods

Zuofeng Shang, J. Jing, J. T. Wang, 2022, The Astrophysical Journal Supplement Series.

Tracing Hα Fibrils through Bayesian Deep Learning

Chang Liu, Haimin Wang, Yan Xu, 2021, The Astrophysical Journal Supplement Series.

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

Hao Liu, Haimin Wang, V. Jordanova, 2022, The Astrophysical Journal Supplement Series.

Revisiting the Solar Research Cyberinfrastructure Needs: A White Paper of Findings and Recommendations

Dustin J. Kempton, Haimin Wang, D. Gary, 2022, 2203.09544.

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning pdf

Haodi Jiang, Chang Liu, Jiasheng Wang, 2020, The Astrophysical Journal Supplement Series.

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network

Hao Liu, Chang Liu, Yan Xu, 2020, The Astrophysical Journal.

Inferring Line-of-sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks

W. Hsu, Yan Xu, K. Ahn, 2022, The Astrophysical Journal.

Ensemble Learning for CME Arrival Time Prediction

Khalid A. Alobaid, J. T. Wang, 2023, ArXiv.

Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring

H. Nassif, E. Bou‐Zeid, M. Boufadel, 2022, ECML/PKDD.

A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change

H. Nassif, E. Bou‐Zeid, M. Boufadel, 2022, ICMLSC.

A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification

H. Nassif, E. Bou‐Zeid, M. Boufadel, 2022, PAKDD.

Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data with Deep Learning

Yan Xu, J. Jing, Zhihang Hu, 2022, Solar Physics.

2022 Review of Data-Driven Plasma Science

M. Salman Asif, B. V. Essen, R. Churchill, 2022, IEEE Transactions on Plasma Science.

Operational prediction of solar flares using a transformer-based framework

Yan Xu, Yasser Abduallah, J. T. Wang, 2023, Scientific reports.

Downscaling daily wind speed with Bayesian deep learning for climate monitoring

H. Nassif, E. Bou‐Zeid, M. Boufadel, 2023, International Journal of Data Science and Analytics.

Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data

H. Nassif, E. Bou‐Zeid, M. Boufadel, 2023, ICMLSC.