Haimin Wang - RankMe

44 papers A 1B 5C 1Misc 2Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Interpretable Machine Learning Approach to Understanding the Relationships between Solar Flares and Source Active Regions. CoRR Huseyin Cavus, Jason T. L. Wang, Teja P. S. Singampalli, Gani Caglar Coban, Hongyang Zhang, Abd-ur Raheem, Haimin Wang
2025	—	`conf`	Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data. ICDM (Workshops) Kangwoo Yi, Bo Shen, Qin Li, Haimin Wang, Yong-Jae Moon, Jaewon Lee, Hwanhee Lee
2025	J	`jnl`	Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data. CoRR Kangwoo Yi, Bo Shen, Qin Li, Haimin Wang, Yong-Jae Moon, Jaewon Lee, Hwanhee Lee
2025	J	`jnl`	Improving the Spatial Resolution of GONG Solar Images to GST Quality Using Deep Learning. CoRR Chenyang Li, Qin Li, Haimin Wang, Bo Shen
2025	—	`conf`	Improving the Spatial Resolution of Gong Solar Images to GST Quality Using Deep Learning. ICDM (Workshops) Chenyang Li, Qin Li, Haimin Wang, Bo Shen
2025	J	`jnl`	Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model. CoRR Jialiang Li, Vasyl Yurchyshyn, Jason T. L. Wang, Haimin Wang, Yasser Abduallah, Khalid A. Alobaid, Chunhui Xu, Ruizhu Chen, Yan Xu
2025	—	`conf`	Out-of-Sample Validation of MagNet. ICDM (Workshops) Aryiadna Yesmanchyk, Yan Xu, Jason T. L. Wang, Haodi Jiang, Chunhui Xu, Haimin Wang
2025	—	`conf`	Physics-Informed Attention-Enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations. ICDM (Workshops) Jinghao Cao, Qi Li, Mengnan Du, Haimin Wang, Bo Shen
2025	J	`jnl`	Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations. CoRR Jinghao Cao, Qin Li, Mengnan Du, Haimin Wang, Bo Shen
2025	J	`jnl`	Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning. CoRR Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Ju Jing, Yasser Abduallah, Zhenduo Wang, Hameedullah Farooki, Huseyin Cavus, Vasyl Yurchyshyn
2025	J	`jnl`	Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model. CoRR Hongyang Zhang, Ju Jing, Jason T. L. Wang, Haimin Wang, Yasser Abduallah, Yan Xu, Khalid A. Alobaid, Hameedullah Farooki, Vasyl Yurchyshyn
2025	J	`jnl`	Reconstruction of Solar EUV Irradiance Using CaII K Images and SOHO/SEM Data with Bayesian Deep Learning and Uncertainty Quantification. CoRR Haodi Jiang, Qin Li, Jason T. L. Wang, Haimin Wang, Serena Criscuoli
2024	J	`jnl`	A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. J. Intell. Inf. Syst. Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Ju Jing
2024	B	`conf`	Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]. IEEE Big Data Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang
2024	J	`jnl`	Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges. CoRR Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang
2024	B	`conf`	Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model. IEEE Big Data Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen
2024	J	`jnl`	Neural Operator for Accelerating Coronal Magnetic Field Model. CoRR Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen
2024	J	`jnl`	Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. CoRR Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing
2024	J	`jnl`	Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. CoRR Chunhui Xu, Jason T. L. Wang, Haimin Wang, Haodi Jiang, Qin Li, Yasser Abduallah, Yan Xu
2023	J	`jnl`	Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models. CoRR Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Shen Fan, Jialiang Li, Huseyin Cavus, Vasyl Yurchyshyn
2022	J	`jnl`	A Deep Learning Approach to Dst Index Prediction. CoRR Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang
2022	J	`jnl`	A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. CoRR Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang
2022	C	`conf`	A Transformer-Based Framework for Geomagnetic Activity Prediction. ISMIS Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang
2022	Misc	`conf`	Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. FLAIRS Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang
2022	J	`jnl`	Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks. CoRR Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang
2022	J	`jnl`	Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. CoRR Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang
2021	J	`jnl`	Deep Learning Based Reconstruction of Total Solar Irradiance. CoRR Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang
2021	Misc	`conf`	Reconstruction of Total Solar Irradiance by Deep Learning. FLAIRS Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang
2021	J	`jnl`	Tracing Halpha Fibrils through Bayesian Deep Learning. CoRR Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang
2020	J	`jnl`	DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. CoRR Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang
2020	J	`jnl`	Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. CoRR Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang
2020	J	`jnl`	Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. CoRR Hao Liu, Yan Xu, Jiasheng Wang, Ju Jing, Chang Liu, Jason T. L. Wang, Haimin Wang
2020	J	`jnl`	Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR 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 G. 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
2020	J	`jnl`	Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. CoRR Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang
2019	J	`jnl`	Predicting Solar Flares Using a Long Short-Term Memory Network. CoRR Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang
2011	J	`jnl`	A kernel-based parametric method for conditional density estimation. Pattern Recognit. Gang Fu, Frank Y. Shih, Haimin Wang
2009	—	`conf`	EUV Images Features for Solar Prominence Eruption Detection. CSC Ju Jing, Haimin Wang, John Jenq
2008	J	`jnl`	Automatic Detection of Magnetic Flux Emergings in the Solar Atmosphere From Full-Disk Magnetogram Sequences. IEEE Trans. Image Process. Gang Fu, Frank Y. Shih, Haimin Wang
2007	J	`jnl`	Automatic Detection of Prominence Eruption Using Consecutive Solar Images. IEEE Trans. Circuits Syst. Video Technol. Gang Fu, Frank Y. Shih, Haimin Wang
2007	—	`conf`	Farmers' Access to Internet Information: Pathways, Interests and Cost. CCTA Gubo Qi, Haimin Wang, Ting Zuo
2004	B	`conf`	Automatic Solar Flare Tracking. KES Ming Qu, Frank Y. Shih, Ju Jing, Haimin Wang, David Rees
2004	A	`conf`	Solar flare tracking using image processing techniques. ICME Ming Qu, Frank Y. Shih, Ju Jing, Haimin Wang
2001	B	`conf`	Three dimensional surface warping for plastic surgery planning. SMC Jianlin Gao, MengChu Zhou, Haimin Wang, Chongzhe Zhang
2000	B	`conf`	Mesh simplification with average planes for 3-D image. SMC Jianlin Gao, MengChu Zhou, Haimin Wang