Jimeng Shi

According to our database, Jimeng Shi authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A comprehensive survey of scoring functions for protein docking models.

Azam Shirali, Vitalii Stebliankin, Ukesh Karki, Jimeng Shi, Prem Chapagain, Giri Narasimhan

BMC Bioinform., December, 2025

2024

ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning.

Jimeng Shi, Azam Shirali, Giri Narasimhan

CoRR, 2024

CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification.

Jimeng Shi, Bowen Jin, Jiawei Han, Giri Narasimhan

CoRR, 2024

FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation.

Jimeng Shi, Zeda Yin, Arturo S. Leon, Jayantha Obeysekera, Giri Narasimhan

CoRR, 2024

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Evaluating protein binding interfaces with transformer networks.

Vitalii Stebliankin, Azam Shirali, Prabin Baral, Jimeng Shi, Prem Chapagain, Kalai Mathee, Giri Narasimhan

Nat. Mac. Intell., September, 2023

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

Jimeng Shi, Vitalii Stebliankin, Giri Narasimhan

CoRR, 2023

Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates.

Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang, Shaowen Wang, Giri Narasimhan

CoRR, 2023

Deep Learning Models for Water Stage Predictions in South Florida.

Jimeng Shi, Zeda Yin, Rukmangadh Myana, Khandker Ishtiaq, Anupama John, Jayantha Obeysekera, Arturo S. Leon, Giri Narasimhan

CoRR, 2023

Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting.

Jimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Time Series Forecasting (TSF) Using Various Deep Learning Models.

Jimeng Shi, Mahek Jain, Giri Narasimhan

CoRR, 2022

2021

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

Jimeng Shi, Cheng-Xian Lin

CoRR, 2021