| Time Series Forecasting (TSF) Using Various Deep Learning Models J Shi, M Jain, G Narasimhan International Journal of Computer and Systems Engineering 16, 2022 | 42* | 2022 |
| Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting J Shi, R Myana, V Stebliankin, A Shirali, G Narasimhan ECML-PKDD 2023 worksop on Advanced Analytics and Learning on Temporal Data, 2023 | 5 | 2023 |
| Deep Learning Models for Water Stage Predictions in South Florida J Shi, Z Yin, R Myana, K Ishtiaq, A John, J Obeysekera, A Leon, ... arXiv preprint arXiv:2306.15907, 2023 | 4 | 2023 |
| Computational Simulation and Analysis of Major Control Parameters of Time-Dependent PV/T Collectors J Shi, CX Lin ASME International Mechanical Engineering Congress and Exposition 59452 …, 2019 | 4 | 2019 |
| Evaluating protein binding interfaces with transformer networks V Stebliankin, A Shirali, P Baral, J Shi, P Chapagain, K Mathee, ... Nature Machine Intelligence 5 (9), 1042-1053, 2023 | 3 | 2023 |
| Physic-Informed Neural Network Approach Coupled with Boundary Conditions for Solving 1D Steady Shallow Water Equations for Riverine System Z Yin, L Bian, B Hu, J Shi, AS Leon World Environmental and Water Resources Congress 2023, 280-288, 2023 | 3 | 2023 |
| Computational Simulation and Analysis of Major Control Parameters of Time-Dependent Photovoltaic/Thermal Collectors J Shi, CX Lin Journal of Solar Energy Engineering 143 (5), 051008, 2021 | 3 | 2021 |
| FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation J Shi, Z Yin, A Leon, J Obeysekera, G Narasimhan arXiv preprint arXiv:2402.13371, 2024 | | 2024 |
| A Comprehensive Survey of Scoring Functions for Protein Docking Models A Shirali, V Stebliankin, J Shi, G Narasimhan bioRxiv: https://doi.org/10.1101/2023.12.29.573663, 2024 | | 2024 |
| The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation J Shi, V Stebliankin, G Narasimhan NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023 | | 2023 |
| Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates J Shi, V Stebliankin, Z Wang, S Wang, G Narasimhan NSF I-GUIDE Forum, 2023 | | 2023 |
| I-GUIDE Climbers: A Model for Multidisciplinary Academic Labs for Early Career Development I Haqiqi, W Hu, R Kumaran, PC Li, N Manning, A Michels, A Nassar, ... | | 2023 |
Giri NarasimhanComputing and Information Sciences, Florida International UniversityVerified email at cs.fiu.edu
