| Sea Ice Forecasting using Attention-based Ensemble LSTM. arXiv e-prints, page S Ali, Y Huang, X Huang, J Wang arXiv preprint arXiv:2108.00853, 2021 | 15 | 2021 |
| Deep domain adaptation based cloud type detection using active and passive satellite data X Huang, S Ali, C Wang, Z Ning, S Purushotham, J Wang, Z Zhang 2020 IEEE International Conference on Big Data (Big Data), 1330-1337, 2020 | 9 | 2020 |
| Deep multi-sensor domain adaptation on active and passive satellite remote sensing data X Huang, S Ali, S Purushotham, J Wang, C Wang, Z Zhang 1st KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and …, 2020 | 9 | 2020 |
| Multi-task deep learning based spatiotemporal arctic sea ice forecasting E Kim, P Kruse, S Lama, J Bourne, M Hu, S Ali, Y Huang, J Wang 2021 IEEE International Conference on Big Data (Big Data), 1847-1857, 2021 | 8 | 2021 |
| Quantifying causes of arctic amplification via deep learning based time-series causal inference S Ali, O Faruque, Y Huang, MO Gani, A Subramanian, NJ Schlegel, ... 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | 4 | 2023 |
| Mt-icenet-a spatial and multi-temporal deep learning model for arctic sea ice forecasting S Ali, J Wang 2022 IEEE/ACM International Conference on Big Data Computing, Applications …, 2022 | 4 | 2022 |
| Benchmarking probabilistic machine learning models for arctic sea ice forecasting S Ali, SAM Mostafa, X Li, S Khanjani, J Wang, J Foulds, V Janeja IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
| AI for sea ice forecasting S Ali, Y Huang, J Wang Artificial intelligence in earth science, 41-58, 2023 | 3 | 2023 |
| A multi-model comparison of September Arctic sea ice seasonal prediction skill M Bushuk, S Ali, DA Bailey, L Batté, US Bhatt, B He, ... AGU Fall Meeting Abstracts 2022, GC52B-02, 2022 | | 2022 |
| Evaluation of low-cloud and warm rain simulation in CMIP6 models through comparisons with satellite observations. A Denagamage, Z Zhang, M Segal-Rosenhaimer, J Wang, S Ali, ... AGU Fall Meeting Abstracts 2020, A052-05, 2020 | | 2020 |
| BDCAT 2022 S Ali, J Wang | | |
| 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)| 978-1-6654-6090-3/22/$31.00© 2022 IEEE| DOI: 10.1109/BDCAT56447. 2022.00050 A Abdulraheem, HB Adeyemo, S Ahmad, A Aleroud, SA Alhosseini, ... | | |
| Forecasting Sea Ice Concentrations using Attention-based Ensemble LSTM (Papers Track) S Ali, Y Huang, X Huang, J Wang Climate Change AI, 0 | | |
| Multi-Task Spatiotemporal Deep Learning Based Arctic Sea Ice Prediction J Bourne Jr, M Hu, E Kim, P Kruse, S Lama, S Ali, Y Huang, J Wang UMBC Student Collection, 0 | | |
| Deep Multi-Sensor Domain Adaptation on Active and Passive Satellite Remote Sensing Data S Purushotham, X Huang, S Ali, C Wang, Z Ning, J Wang, Z Zhang UMBC Joint Center for Earth Systems Technology (JCET), 0 | | |
| Evaluation of Tropical Cloud Simulations between CMIP6 Models and Satellite Observations CyberTraining: Big Data+ High-Performance Computing+ Atmospheric Sciences AW Denagamage, S Ali, N Hannadigee, X Huang, P Guo, J Wang UMBC HPCF, 0 | | |
Jianwu WangAssociate Professor of Data Science, University of Maryland Baltimore CountyVerified email at umbc.edu
