| 2026 | FlAIRS | Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning. | Yash Chaudhary, Jason T. L. Wang, Chunhui Xu, Yan Xu, Sen Zhang |
| 2026 | FlAIRS | Forecasting Geomagnetic Disturbances with Interpretable Deep Learning. | Teja Pavan Sai Singampalli, Jason T. L. Wang, Chunhui Xu, Katherine G. Herbert |
| 2025 | FlAIRS | Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions. | Adam Rawashdeh, Jason T. L. Wang, Katherine G. Herbert |
| 2025 | ICDM | Out-of-Sample Validation of MagNet. | Aryiadna Yesmanchyk, Yan Xu, Jason T. L. Wang, Haodi Jiang, Chunhui Xu, Haimin Wang |
| 2024 | FlAIRS | An Interpretable Transformer Model for Operational Flare Forecasting. | Yasser Abduallah, Vinay Ram Gazula, Jason T. L. Wang |
| 2024 | FlAIRS | Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods. | Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang |
| 2024 | ICMLA | Solar Image Synthesis with Generative Adversarial Networks. | Haodi Jiang, Jason T. L. Wang |
| 2024 | ICTAI | Interpretable Deep Learning for Solar Flare Prediction. | Vinay Ram Gazula, Katherine G. Herbert, Yasser Abduallah, Jason T. L. Wang |
| 2023 | ICTAI | An Interpretable LSTM Network for Solar Flare Prediction. | Gautam Varma Datla, Haodi Jiang, Jason T. L. Wang |
| 2022 | FlAIRS | Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. | Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang |
| 2022 | ISMIS | A Transformer-Based Framework for Geomagnetic Activity Prediction. | Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang |
| 2022 | PAKDD | A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. | Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang |
| 2021 | FlAIRS | Reconstruction of Total Solar Irradiance by Deep Learning. | Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang |
| 2019 | IJCAI | Generative Adversarial Networks for Video Prediction with Action Control. | Zhihang Hu, Jason T. L. Wang |
| 2018 | ICMLA | DLGraph: Malware Detection Using Deep Learning and Graph Embedding. | Haodi Jiang, Turki Turki, Jason T. L. Wang |
| 2017 | DASC | A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark. | Yasser Abduallah, Jason T. L. Wang |
| 2017 | ICMLA | Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. | Haodi Jiang, Turki Turki, Jason T. L. Wang |
| 2016 | ICMLA | Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. | Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan |
| 2015 | IDEAL | A New Approach to Link Prediction in Gene Regulatory Networks. | Turki Turki, Jason T. L. Wang |
| 2012 | BIBE | Genome-wide search for coaxial helical stacking motifs. | Kevin Byron, Jason T. L. Wang, Dongrong Wen |
| 2007 | ITiCSE | A study of phylogenetic tools for genomic nomenclature data cleaning. | Jonathan D. Marra, Katherine G. Herbert, Jason T. L. Wang |
| 2006 | BIBE | RADAR: An InteractiveWeb-Based Toolkit for RNA Data Analysis and Research. | Mugdha Khaladkar, Vivian Bellofatto, Jason T. L. Wang, Bin Tian, Kaizhong Zhang |
| 2006 | SSDBM | PhyloMiner: A Tool for Evolutionary Data Analysis. | Sen Zhang, Katherine G. Herbert, Jason T. L. Wang, William H. Piel, David R. B. Stockwell |
| 2005 | ISI | Biomonitoring, Phylogenetics and Anomaly Aggregation Systems. | David R. B. Stockwell, Jason T. L. Wang |
| 2004 | ICTAI | XML Clustering by Principal Component Analysis. | Jianghui Liu, Jason T. L. Wang, Wynne Hsu, Katherine G. Herbert |
| 1994 | ICPR | The approximate graph matching problem. | Jason T. L. Wang, Kaizhong Zhang, Gung-Wei Chirn |
| 1993 | ICDAR | Nested segmentation: an approach for layout analysis in document classification. | Xiaolong Hao, Jason T. L. Wang, Peter A. Ng |