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Jimeng Shi

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TimeX++: Learning Time-Series Explanations with Information Bottleneck

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May 15, 2024
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

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FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation

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Feb 20, 2024
Jimeng Shi, Zeda Yin, Arturo Leon, Jayantha Obeysekera, Giri Narasimhan

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The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation

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Oct 29, 2023
Jimeng Shi, Vitalii Stebliankin, Giri Narasimhan

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Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates

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Oct 11, 2023
Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang, Shaowen Wang, Giri Narasimhan

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Deep Learning Models for Water Stage Predictions in South Florida

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Jun 28, 2023
Jimeng Shi, Zeda Yin, Rukmangadh Myana, Khandker Ishtiaq, Anupama John, Jayantha Obeysekera, Arturo Leon, Giri Narasimhan

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Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting

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May 08, 2023
Jimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan

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Time Series Forecasting (TSF) Using Various Deep Learning Models

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Apr 23, 2022
Jimeng Shi, Mahek Jain, Giri Narasimhan

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Computational Simulation and Analysis of Major Control Parameters of Time-Dependent PV/T Collectors

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May 01, 2021
Jimeng Shi, Cheng-Xian Lin

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