Jimeng Shi

According to our database, Jimeng Shi authored at least 22 papers between 2021 and 2026.

Collaborative distances:

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

2026

TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation.

Jiashuo Sun, Yixuan Xie, Jimeng Shi, Shaowen Wang, Jiawei Han

CoRR, March, 2026

Any Model, Any Place, Any Time: Get Remote Sensing Foundation Model Embeddings On Demand.

Dingqi Ye, Daniel Kiv, Wei Hu, Jimeng Shi, Shaowen Wang

CoRR, February, 2026

MultiCube-RAG for Multi-hop Question Answering.

Jimeng Shi, Wei Hu, Runchu Tian, Bowen Jin, Wonbin Kweon, SeongKu Kang, Yunfan Kang, Dingqi Ye, Sizhe Zhou, Shaowen Wang, Jiawei Han

CoRR, February, 2026

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

Retrieval-Augmented Water Level Forecasting for Everglades.

Rahuul Rangaraj, Jimeng Shi, Rajendra Paudel, Giri Narasimhan, Yanzhao Wu

CoRR, August, 2025

SF²Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida.

Xu Zheng, Chaohao Lin, Sipeng Chen, Zhuomin Chen, Jimeng Shi, Wei Cheng, Jayantha Obeysekera, Jason Liu, Dongsheng Luo

CoRR, June, 2025

Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering.

Jimeng Shi, Sizhe Zhou, Bowen Jin, Wei Hu, Shaowen Wang, Giri Narasimhan, Jiawei Han

CoRR, May, 2025

How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades.

Rahuul Rangaraj, Jimeng Shi, Azam Shirali, Rajendra Paudel, Yanzhao Wu, Giri Narasimhan

CoRR, May, 2025

Deep Learning and Foundation Models for Weather Prediction: A Survey.

Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan

CoRR, January, 2025

CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification.

Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

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

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

Jimeng Shi, Azam Shirali, Giri Narasimhan

Proceedings of the IEEE International Conference on Big Data, 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