Haimin Wang
Orcid: 0000-0002-5233-565X
According to our database1,
Haimin Wang
authored at least 91 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification.
J. Intell. Inf. Syst., August, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, January, 2024
CoRR, 2024
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network.
CoRR, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
CoRR, 2024
2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, July, 2023
Dataset, January, 2023
Dataset, January, 2023
Dataset, January, 2023
Dataset, January, 2023
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models.
CoRR, 2023
2022
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.
Dataset, December, 2022
Dataset, December, 2022
Dataset, December, 2022
Dataset, November, 2022
Dataset, November, 2022
Dataset, November, 2022
Dataset, November, 2022
Dataset, September, 2022
Dataset, September, 2022
Dataset, September, 2022
Dataset, June, 2022
Dataset, June, 2022
Dataset, June, 2022
Dataset, June, 2022
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data.
CoRR, 2022
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks.
CoRR, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
CoRR, 2022
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
2021
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.
Dataset, November, 2021
Dataset, November, 2021
Dataset, November, 2021
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.
Dataset, November, 2021
Dataset, November, 2021
Dataset, October, 2021
Dataset, October, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
2020
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.
CoRR, 2020
Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network.
CoRR, 2020
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.
CoRR, 2020
2019
2011
Pattern Recognit., 2011
2009
EUV Images Features for Solar Prominence Eruption Detection.
Proceedings of the 2009 International Conference on Scientific Computing, 2009
2008
Automatic Detection of Magnetic Flux Emergings in the Solar Atmosphere From Full-Disk Magnetogram Sequences.
IEEE Trans. Image Process., 2008
2007
IEEE Trans. Circuits Syst. Video Technol., 2007
Proceedings of the Computer And Computing Technologies In Agriculture, 2007
2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004
2001
Proceedings of the IEEE International Conference on Systems, 2001
2000
Proceedings of the IEEE International Conference on Systems, 2000