


default search action
Jason Tsong-Li Wang
Jason T. L. Wang
Person information
- affiliation: New Jersey Institute of Technology, Newark, USA
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [i22]Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Ju Jing, Yasser Abduallah, Zhenduo Wang, Hameedullah Farooki, Huseyin Cavus, Vasyl Yurchyshyn:
Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning. CoRR abs/2501.01011 (2025) - 2024
- [j71]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Downscaling daily wind speed with Bayesian deep learning for climate monitoring. Int. J. Data Sci. Anal. 17(4): 411-424 (2024) - [j70]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) - [j69]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. Knowl. Inf. Syst. 66(1): 613-633 (2024) - [c79]Yasser Abduallah, Vinay Ram Gazula
, Jason T. L. Wang:
An Interpretable Transformer Model for Operational Flare Forecasting. FLAIRS 2024 - [c78]Haodi Jiang
, Ryoma Matsuura, Jason T. L. Wang:
Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods. FLAIRS 2024 - [d61]Yasser Abduallah
, Khalid A. Alobail
, 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. Zenodo, 2024 - [i21]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) - [i20]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) - 2023
- [j68]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
:
Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data. World Sci. Annu. Rev. Artif. Intell. 1: 2250001:1-2250001:24 (2023) - [c77]Firas Gerges
, Michel C. Boufadel
, Elie Bou-Zeid
, Hani Nassif
, Jason T. L. Wang
:
Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. ICMLSC 2023: 102-109 - [c76]Gautam Varma Datla, Haodi Jiang, Jason T. L. Wang:
An Interpretable LSTM Network for Solar Flare Prediction. ICTAI 2023: 526-531 - [d60]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting Solar Flares with Machine Learning. Version v1.5. Zenodo, 2023 [all versions] - [d59]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version v1.2. Zenodo, 2023 [all versions] - [d58]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version v1.3. Zenodo, 2023 [all versions] - [d57]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version 3. Zenodo, 2023 [all versions] - [d56]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version 4. Zenodo, 2023 [all versions] - [d55]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version 5. Zenodo, 2023 [all versions] - [d54]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
, Yan Xu:
Operational Prediction of Solar Flares Using a Transformer-Based Framework. Version 6. Zenodo, 2023 [all versions] - [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. Version v1.5. Zenodo, 2023 [all versions] - [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. Version v1.6. Zenodo, 2023 [all versions] - [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. Version v1.6. Zenodo, 2023 [all versions] - [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. Version v1.6. Zenodo, 2023 [all versions] - [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. Version v1.2. Zenodo, 2023 [all versions] - [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. Version v1.3. Zenodo, 2023 [all versions] - [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. Version v1.3. Zenodo, 2023 [all versions] - [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. Version v1.3. Zenodo, 2023 [all versions] - [i19]Khalid A. Alobaid
, Jason T. L. Wang:
Ensemble Learning for CME Arrival Time Prediction. CoRR abs/2305.00258 (2023) - [i18]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
- [c75]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 - [c74]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif
, Jason T. L. Wang:
A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. ICMLSC 2022: 1-7 - [c73]Firas Gerges, Danielle A. Azar, Joseph Vybihal
, Jason T. L. Wang:
Early Prediction of Movie Success Using Machine Learning and Evolutionary Computation. ISCIT 2022: 177-182 - [c72]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. ISMIS 2022: 325-335 - [c71]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid
, Hani Nassif
, Jason T. L. Wang:
A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. PAKDD (3) 2022: 55-66 - [c70]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Ankit Darekar, Hani Nassif, Jason T. L. Wang:
Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. ECML/PKDD (5) 2022: 565-580 - [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. Version v1.2. Zenodo, 2022 [all versions] - [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. Version v1.3. Zenodo, 2022 [all versions] - [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. Version v1.4. Zenodo, 2022 [all versions] - [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. Version v1.4. Zenodo, 2022 [all versions] - [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. Version v1.4. Zenodo, 2022 [all versions] - [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. Version v1.4. Zenodo, 2022 [all versions] - [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. Version v1.4. Zenodo, 2022 [all versions] - [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. Version v1.1. Zenodo, 2022 [all versions] - [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. Version v1.1. Zenodo, 2022 [all versions] - [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. Version v1.1. Zenodo, 2022 [all versions] - [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. Version v1.1. Zenodo, 2022 [all versions] - [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. Version v1.1. Zenodo, 2022 [all versions] - [d33]Yasser Abduallah
, Jason T. L. Wang
, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli
, Haimin Wang
:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.3. Zenodo, 2022 [all versions] - [d32]Yasser Abduallah
, Jason T. L. Wang
, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli
, Haimin Wang
:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.5. Zenodo, 2022 [all versions] - [d31]Yasser Abduallah
, Jason T. L. Wang
, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli
, Haimin Wang
:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.6. Zenodo, 2022 [all versions] - [d30]Yasser Abduallah
, Jason T. L. Wang
, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli
, Haimin Wang
:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.6. Zenodo, 2022 [all versions] - [d29]Yasser Abduallah
, Jason T. L. Wang
, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli
, Haimin Wang
:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.6. Zenodo, 2022 [all versions] - [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. Version v1.0. Zenodo, 2022 [all versions] - [d26]Yasser Abduallah
, Jason T. L. Wang
, Chunhui Xu, Haimin Wang
:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Version v1.1. Zenodo, 2022 [all versions] - [d25]Yasser Abduallah
, Jason T. L. Wang
, Chunhui Xu, Haimin Wang
:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Version v1.1. Zenodo, 2022 [all versions] - [d24]Khalid A. Alobaid, Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [d23]Khalid A. Alobaid, Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [d22]Khalid A. Alobaid, Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [d21]Khalid A. Alobaid, Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [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. Version v1.2. Zenodo, 2022 [all versions] - [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. Version v1.3. Zenodo, 2022 [all versions] - [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. Version v1.4. Zenodo, 2022 [all versions] - [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. Version v1.0. Zenodo, 2022 [all versions] - [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. Version v1.1. Zenodo, 2022 [all versions] - [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. Version v1.3. Zenodo, 2022 [all versions] - [i17]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) - [i16]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) - [i15]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) - [i14]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
- [c69]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. Version v1.0.0. Zenodo, 2021 [all versions] - [d13]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting Solar Flares with Machine Learning. Version v1.0.1. Zenodo, 2021 [all versions] - [d12]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting Solar Flares with Machine Learning. Version v1.2. Zenodo, 2021 [all versions] - [d11]Yasser Abduallah
, Jason T. L. Wang
, Haimin Wang
:
Predicting Solar Flares with Machine Learning. Version v1.3. Zenodo, 2021 [all versions] - [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. Version v1.0.1. Zenodo, 2021 [all versions] - [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. Version v1.0.2. Zenodo, 2021 [all versions] - [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. Version v.1.2. Zenodo, 2021 [all versions] - [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. Version v1.0.1. Zenodo, 2021 [all versions] - [d6]Hao Liu
, Chang Liu
, Jason T. L. Wang
, Haimin Wang
:
Predicting Solar Flares Using a Long Short-term Memory Network. Version v1.0.1. Zenodo, 2021 [all versions] - [d5]Hao Liu
, Chang Liu
, Jason T. L. Wang
, Haimin Wang
:
Predicting Solar Flares Using a Long Short-term Memory Network. Version v1.0.2. Zenodo, 2021 [all versions] - [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. Version v1.0.2. Zenodo, 2021 [all versions] - [i13]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) - [i12]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
- [j67]Zhihang Hu
, Turki Turki
, Jason T. L. Wang
:
Generative Adversarial Networks for Stochastic Video Prediction With Action Control. IEEE Access 8: 63336-63348 (2020) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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
- [j66]Turki Turki
, Jason T. L. Wang:
Clinical intelligence: New machine learning techniques for predicting clinical drug response. Comput. Biol. Medicine 107: 302-322 (2019) - [j65]Yasser Abduallah
, Jason T. L. Wang:
New algorithms for inferring gene regulatory networks from time-series expression data on Apache Spark. Int. J. Big Data Intell. 6(3/4): 153-162 (2019) - [c68]Zhihang Hu, Jason Tsong-Li Wang:
A Novel Adversarial Inference Framework for Video Prediction with Action Control. ICCV Workshops 2019: 768-772 - [c67]Zhihang Hu
, Jason T. L. Wang
:
Generative Adversarial Networks for Video Prediction with Action Control. IJCAI 2019: 87-105 - [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. Version v1.0.0. Zenodo, 2019 [all versions] - [d1]Hao Liu
, Chang Liu, Jason Tsong-Li Wang
, Haimin Wang
:
Prism2/LSTM-flare-prediction: v1.0.1. Version v1.0.1. Zenodo, 2019 [all versions] - [i6]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) - 2018
- [j64]Zhihang Hu, Turki Turki
, NhatHai Phan, Jason T. L. Wang:
A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction. IEEE Access 6: 43450-43459 (2018) - [j63]Sen Zhang, Zhihui Du
, Jason T. L. Wang, Haodi Jiang:
Discovering frequent induced subgraphs from directed networks. Intell. Data Anal. 22(6): 1279-1296 (2018) - [j62]Kevin Byron, Jason T. L. Wang:
A comparative review of recent bioinformatics tools for inferring gene regulatory networks using time-series expression data. Int. J. Data Min. Bioinform. 20(4): 320-340 (2018) - [j61]Turki Turki
, Zhi Wei
, Jason T. L. Wang:
A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction. J. Bioinform. Comput. Biol. 16(3): 1840014:1-1840014:31 (2018) - [c66]Haodi Jiang, Turki Turki
, Jason T. L. Wang:
DLGraph: Malware Detection Using Deep Learning and Graph Embedding. ICMLA 2018: 1029-1033 - [c65]Haodi Jiang, Turki Turki
, Sen Zhang, Jason T. L. Wang:
Reverse Engineering Gene Regulatory Networks Using Graph Mining. MLDM (1) 2018: 335-349 - 2017
- [j60]Turki Turki
, Zhi Wei
, Jason T. L. Wang:
Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access 5: 7381-7393 (2017) - [j59]Fei Wang, Xiaoli Li
, Jason T. L. Wang, See-Kiong Ng:
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 501-502 (2017) - [c64]Yasser Abduallah
, Jason T. L. Wang:
A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark. DASC/PiCom/DataCom/CyberSciTech 2017: 1106-1113 - [c63]Haodi Jiang, Turki Turki
, Jason T. L. Wang:
Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. ICMLA 2017: 761-764 - [c62]Turki Turki
, Jason Tsong-Li Wang:
Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques. MLDM 2017: 63-77 - [i5]