Jason T. L. Wang

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 52

Top Topics

Regulatory Networks

Unsupervised Methods

Top Venues

Publications

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 (2024)
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) (2024)
Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang
Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods. FLAIRS (2024)
Yasser Abduallah, Vinay Ram Gazula, Jason T. L. Wang
An Interpretable Transformer Model for Operational Flare Forecasting. FLAIRS (2024)
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 (2024)
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) (2024)
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)
Khalid A. Alobaid, Jason T. L. Wang
Ensemble Learning for CME Arrival Time Prediction. CoRR (2023)
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 (2023)
Gautam Varma Datla, Haodi Jiang, Jason T. L. Wang
An Interpretable LSTM Network for Solar Flare Prediction. ICTAI (2023)
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 (2023)
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 (2022)
Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang
A Transformer-Based Framework for Geomagnetic Activity Prediction. ISMIS (2022)
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)
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 (2022)
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)
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 (2022)
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)
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)
Firas Gegres, Danielle A. Azar, Joseph Vybihal, Jason T. L. Wang
Early Prediction of Movie Success Using Machine Learning and Evolutionary Computation. ISCIT (2022)
Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang
A Deep Learning Approach to Dst Index Prediction. CoRR (2022)
Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang
Reconstruction of Total Solar Irradiance by Deep Learning. FLAIRS Conference (2021)
Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang
Deep Learning Based Reconstruction of Total Solar Irradiance. CoRR (2021)
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 (2021)
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 (2020)
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 (2020)
Zhihang Hu, Turki Turki, Jason T. L. Wang
Generative Adversarial Networks for Stochastic Video Prediction With Action Control. IEEE Access 8 (2020)
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 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 (2020)
Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. CoRR (2020)
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 (2020)
Zhihang Hu, Jason T. L. Wang
Generative Adversarial Networks for Video Prediction with Action Control. IJCAI (2019)
Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang
Predicting Solar Flares Using a Long Short-Term Memory Network. CoRR (2019)
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) (2019)
Turki Turki, Jason T. L. Wang
Clinical intelligence: New machine learning techniques for predicting clinical drug response. Comput. Biol. Medicine 107 (2019)
Haodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang
Reverse Engineering Gene Regulatory Networks Using Graph Mining. MLDM (1) (2018)
Haodi Jiang, Turki Turki, Jason T. L. Wang
DLGraph: Malware Detection Using Deep Learning and Graph Embedding. ICMLA (2018)
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) (2018)
Sen Zhang, Zhihui Du, Jason T. L. Wang, Haodi Jiang
Discovering frequent induced subgraphs from directed networks. Intell. Data Anal. 22 (6) (2018)
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) (2018)
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 (2018)
Yasser Abduallah, Turki Turki, Kevin Byron, Zongxuan Du, Miguel Cervantes-Cervantes, Jason T. L. Wang
MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach. CoRR (2017)
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)
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) (2017)
Kevin Byron, Jason T. L. Wang
A Computational Approach to Finding RNA Tertiary Motifs in Genomic Sequences. CoRR (2017)
Turki Turki, Zhi Wei, Jason T. L. Wang
Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access 5 (2017)
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)
Lei Hua, Yang Song, Namhee Kim, Christian Laing, Jason T. L. Wang, Tamar Schlick
CHSalign: A Web Server That Builds upon Junction-Explorer and RNAJAG for Pairwise Alignment of RNA Secondary Structures with Coaxial Helical Stacking. CoRR (2016)
Turki Turki, William Bassett, Jason T. L. Wang
A Learning Framework to Improve Unsupervised Gene Network Inference. MLDM (2016)
Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan
Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. ICMLA (2016)
Nihir Patel, Jason T. L. Wang
Semi-Supervised Prediction of Gene Regulatory Networks Using Machine Learning Algorithms. CoRR (2016)
Ling Zhong, Jason T. L. Wang
Effective Classification of MicroRNA Precursors Using Combinatorial Feature Mining and AdaBoost Algorithms. CoRR (2016)
Turki Turki, Jason T. L. Wang
A New Approach to Link Prediction in Gene Regulatory Networks. IDEAL (2015)
Kevin Byron, Jason T. L. Wang, Dongrong Wen
Genome-Wide Prediction of Coaxial Helical Stacking Using Random Forests and Covariance Models. Int. J. Artif. Intell. Tools 23 (3) (2014)
Palak Sheth, Miguel Cervantes-Cervantes, Akhila Nagula, Christian Laing, Jason T. L. Wang
Novel features for identifying A-minors in three-dimensional RNA molecules. Comput. Biol. Chem. 47 (2013)
Michael Bao, Miguel Cervantes-Cervantes, Ling Zhong, Jason T. L. Wang
Searching for Non-coding RNAs in Genomic Sequences Using ncRNAscout. Genom. Proteom. Bioinform. 10 (2) (2012)
Kevin Byron, Jason T. L. Wang, Dongrong Wen
Genome-wide search for coaxial helical stacking motifs. BIBE (2012)
Xin Zhang, Dennis E. Shasha, Yang Song, Jason T. L. Wang
Fast Elastic Peak Detection for Mass Spectrometry Data Mining. IEEE Trans. Knowl. Data Eng. 24 (4) (2012)
Ling Zhong, Jason T. L. Wang, Dongrong Wen, Bruce A. Shapiro
Pre-miRNA classification via combinatorial feature mining and boosting. BIBM (2012)
Lei Hua, Jason T. L. Wang, Xiang Ji, Ankur Malhotra, Mugdha Khaladkar, Bruce A. Shapiro, Kaizhong Zhang
A Method for Discovering Common Patterns from Two RNA Secondary Structures and its Application to Structural Repeat Detection. J. Bioinform. Comput. Biol. 10 (4) (2012)
Stephen J. Griesmer, Miguel Cervantes-Cervantes, Yang Song, Jason T. L. Wang
In silico prediction of noncoding RNAs using supervised learning and feature ranking methods. Int. J. Bioinform. Res. Appl. 7 (4) (2011)
Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga
Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression. Int. J. Knowl. Discov. Bioinform. 1 (3) (2010)
Vandanaben Patel, Jason T. L. Wang, Shefali Setia, Anurag Verma, Charles D. Warden, Kaizhong Zhang
On Comparing Two Structured RNA Multiple alignments. J. Bioinform. Comput. Biol. 8 (6) (2010)
Mugdha Khaladkar, Jason T. L. Wang
Detecting Conserved RNA Secondary Structures in Viral Genomes: The RADAR Approach. BioSurveillance (2007)
Katherine G. Herbert, Jason T. L. Wang
Biological data cleaning: a case study. Int. J. Inf. Qual. 1 (1) (2007)
Jonathan D. Marra, Katherine G. Herbert, Jason T. L. Wang
A study of phylogenetic tools for genomic nomenclature data cleaning. ITiCSE (2007)
Junilda Spirollari, Jason T. L. Wang, Yongkyu Park
A New Algorithm for RNA Secondary Structure Prediction. BIOCOMP (2007)
Mugdha Khaladkar, Vivian Bellofatto, Jason T. L. Wang, Bin Tian, Kaizhong Zhang
RADAR: An InteractiveWeb-Based Toolkit for RNA Data Analysis and Research. BIBE (2006)
Sen Zhang, Katherine G. Herbert, Jason T. L. Wang, William H. Piel, David R. B. Stockwell
PhyloMiner: A Tool for Evolutionary Data Analysis. SSDBM (2006)
Jason T. L. Wang, Xiaoming Wu
Kernel design for RNA classification using Support Vector Machines. Int. J. Data Min. Bioinform. 1 (1) (2006)
David R. B. Stockwell, Jason T. L. Wang
Biomonitoring, Phylogenetics and Anomaly Aggregation Systems. ISI (2005)
Jason T. L. Wang, Jianghui Liu, Junhan Wang
Xml Clustering And Retrieval Through Principal Component Analysis. Int. J. Artif. Intell. Tools 14 (4) (2005)
Jianghui Liu, Jason T. L. Wang, Wynne Hsu, Katherine G. Herbert
XML Clustering by Principal Component Analysis. ICTAI (2004)
Michael M. Yin, Jason T. L. Wang
Application of hidden Markov models to biological data mining: a case study. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2000)
Zhijian Zhu, James A. McHugh, Jason T. L. Wang, Peter A. Ng
A formal approach to modeling office information systems. J. Syst. Integr. 4 (4) (1994)
Jason T. L. Wang, Kaizhong Zhang, Gung-Wei Chirn
The approximate graph matching problem. ICPR (2) (1994)
Xiaolong Hao, Jason T. L. Wang, Michael P. Bieber, Peter A. Ng
Heuristic Classification of Office Documents. Int. J. Artif. Intell. Tools 3 (2) (1994)
Xiaolong Hao, Jason T. L. Wang, Peter A. Ng
Nested segmentation: an approach for layout analysis in document classification. ICDAR (1993)
Qianhong Liu, Jason T. L. Wang, Peter A. Ng
On research issues regarding uncertain query processing in an office document retrieval system. J. Syst. Integr. 3 (2) (1993)
Jason T. L. Wang, Peter A. Ng
Texpros: an Intelligent Document Processing System. Int. J. Softw. Eng. Knowl. Eng. 2 (2) (1992)