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Journal Articles
- 2023
[j1]Vitalii Stebliankin
, Azam Shirali, Prabin Baral, Jimeng Shi, Prem Chapagain, Kalai Mathee, Giri Narasimhan:
Evaluating protein binding interfaces with transformer networks. Nat. Mac. Intell. 5(9): 1042-1053 (2023)
Conference and Workshop Papers
- 2024
- [c2]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. ICML 2024 - 2023
- [c1]Jimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan:
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting. AALTD@ECML/PKDD 2023: 56-75
Informal and Other Publications
- 2024
- [i10]Jimeng Shi, Zeda Yin, Arturo S. Leon, Jayantha Obeysekera, Giri Narasimhan:
FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation. CoRR abs/2402.13371 (2024) - [i9]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR abs/2405.09308 (2024) - [i8]Jimeng Shi, Bowen Jin, Jiawei Han, Giri Narasimhan:
CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification. CoRR abs/2409.05975 (2024) - [i7]Jimeng Shi, Azam Shirali, Giri Narasimhan:
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning. CoRR abs/2409.14232 (2024) - 2023
- [i6]Jimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan:
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting. CoRR abs/2305.04876 (2023) - [i5]Jimeng Shi, Zeda Yin, Rukmangadh Myana, Khandker Ishtiaq, Anupama John, Jayantha Obeysekera, Arturo S. Leon, Giri Narasimhan:
Deep Learning Models for Water Stage Predictions in South Florida. CoRR abs/2306.15907 (2023) - [i4]Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang, Shaowen Wang, Giri Narasimhan:
Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates. CoRR abs/2310.07631 (2023) - [i3]Jimeng Shi, Vitalii Stebliankin, Giri Narasimhan:
The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation. CoRR abs/2310.19166 (2023) - 2022
- [i2]Jimeng Shi, Mahek Jain, Giri Narasimhan:
Time Series Forecasting (TSF) Using Various Deep Learning Models. CoRR abs/2204.11115 (2022) - 2021
- [i1]Jimeng Shi, Cheng-Xian Lin:
Computational Simulation and Analysis of Major Control Parameters of Time-Dependent PV/T Collectors. CoRR abs/2105.05358 (2021)
Coauthor Index
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