Publications
As of December 1st, 2022
2022
Wang, J. L., Curtis, J. H., Riemer, N., and West, M., “Learning coagulation processes with combinatorial neural networks,” Journal of Advances in Modeling Earth Systems, 2022.
Ali, A. M., Zhuang, H., Ibrahim, A. K., Wang, J. L., and Cherubin, L., “Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data,” Frontiers in Artificial Intelligence, 2022.
2021
Wang, J. L., Zhuang, H., Cherubin, L., Ali, A. M., and Ibrahim, A. K., “Loop current ssh forecasting: a new domain partitioning approach for a machine learning model,” Forecasting, 2021.
2020
Wang, J. L., Farooq, H., Ibrahim, A. K., and Zhuang, H., “Segmentation of Intracranial Hemorrhage Using Semi-Supervised Multi-Task Attention-Based U-Net,” Applied Sciences, 2020.
2019
Wang, J. L., Zhuang, H., Ibrahim, A. K., Cherubin, L., and Ali, A. M., “Medium-Term Forecasting of Loop Current eddy Cameron and eddy Darwin formation in the Gulf of Mexico with a Divide-and-Conquer Machine Learning Approach,” Journal of Geophysical Research: Oceans, 2019.
2018
Wang, J. L., Ibrahim, A. K., Zhuang, H., Ali, A. M., and Li, A. Y., “A Study on Automatic Detection of IDC Breast Cancer with Convolutional Neural Networks,” Proc. IEEE International Conf. on Computational Science and Computational Intelligence, 2018.

Wang, J. L., Li, A. Y., Huang, M., Ibrahim, A. K., Zhuang, H., and Ali, A. M., “Classification of White Blood Cells with PatternNet-fused Ensemble of Convolutional Neural Networks (PECNN),” Proc. IEEE International Sym. on Signal Processing and Information Technology, 2018.

Ali, A. M., Ibrahim, A. K., Zhuang, H., and Wang, J. L., “Preliminary Results of Forecasting of the Loop Current System in Gulf of Mexico Using Robust Principal Component Analysis,” Proc. IEEE International Sym. on Signal Processing and Information Technology, 2018.