Jimeng Shi - RankMe

25 papers A* 3B 1Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Any Model, Any Place, Any Time: Get Remote Sensing Foundation Model Embeddings On Demand. CoRR Dingqi Ye, Daniel Kiv, Wei Hu, Jimeng Shi, Shaowen Wang
2026	J	`jnl`	MultiCube-RAG for Multi-hop Question Answering. CoRR Jimeng Shi, Wei Hu, Runchu Tian, Bowen Jin, Wonbin Kweon, SeongKu Kang, Yunfan Kang, Dingqi Ye, Sizhe Zhou, Shaowen Wang, Jiawei Han
2026	J	`jnl`	TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation. CoRR Jiashuo Sun, Yixuan Xie, Jimeng Shi, Shaowen Wang, Jiawei Han
2025	J	`jnl`	A comprehensive survey of scoring functions for protein docking models. BMC Bioinform. Azam Shirali, Vitalii Stebliankin, Ukesh Karki, Jimeng Shi, Prem Chapagain, Giri Narasimhan
2025	A*	`conf`	CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification. IJCAI Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan
2025	J	`jnl`	Deep Learning and Foundation Models for Weather Prediction: A Survey. CoRR 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
2025	A*	`conf`	FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation. AAAI Jimeng Shi, Zeda Yin, Arturo S. Leon, Jayantha Obeysekera, Giri Narasimhan
2025	J	`jnl`	How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades. CoRR Rahuul Rangaraj, Jimeng Shi, Azam Shirali, Rajendra Paudel, Yanzhao Wu, Giri Narasimhan
2025	J	`jnl`	Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering. CoRR Jimeng Shi, Sizhe Zhou, Bowen Jin, Wei Hu, Shaowen Wang, Giri Narasimhan, Jiawei Han
2025	J	`jnl`	Retrieval-Augmented Water Level Forecasting for Everglades. CoRR Rahuul Rangaraj, Jimeng Shi, Rajendra Paudel, Giri Narasimhan, Yanzhao Wu
2025	J	`jnl`	SF CoRR Xu Zheng, Chaohao Lin, Sipeng Chen, Zhuomin Chen, Jimeng Shi, Wei Cheng, Jayantha Obeysekera, Jason Liu, Dongsheng Luo
2024	B	`conf`	Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning. IEEE Big Data Jimeng Shi, Azam Shirali, Giri Narasimhan
2024	J	`jnl`	CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification. CoRR Jimeng Shi, Bowen Jin, Jiawei Han, Giri Narasimhan
2024	J	`jnl`	FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation. CoRR Jimeng Shi, Zeda Yin, Arturo S. Leon, Jayantha Obeysekera, Giri Narasimhan
2024	J	`jnl`	ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning. CoRR Jimeng Shi, Azam Shirali, Giri Narasimhan
2024	A*	`conf`	TimeX++: Learning Time-Series Explanations with Information Bottleneck. ICML Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024	J	`jnl`	TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2023	J	`jnl`	Deep Learning Models for Water Stage Predictions in South Florida. CoRR Jimeng Shi, Zeda Yin, Rukmangadh Myana, Khandker Ishtiaq, Anupama John, Jayantha Obeysekera, Arturo S. Leon, Giri Narasimhan
2023	J	`jnl`	Evaluating protein binding interfaces with transformer networks. Nat. Mac. Intell. Vitalii Stebliankin, Azam Shirali, Prabin Baral, Jimeng Shi, Prem Chapagain, Kalai Mathee, Giri Narasimhan
2023	—	`conf`	Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting. AALTD@ECML/PKDD Jimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan
2023	J	`jnl`	Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting. CoRR Jimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan
2023	J	`jnl`	Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates. CoRR Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang, Shaowen Wang, Giri Narasimhan
2023	J	`jnl`	The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation. CoRR Jimeng Shi, Vitalii Stebliankin, Giri Narasimhan
2022	J	`jnl`	Time Series Forecasting (TSF) Using Various Deep Learning Models. CoRR Jimeng Shi, Mahek Jain, Giri Narasimhan
2021	J	`jnl`	Computational Simulation and Analysis of Major Control Parameters of Time-Dependent PV/T Collectors. CoRR Jimeng Shi, Cheng-Xian Lin