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20242026
most citedExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

7 citations · 21 across the 28 of their papers we have counts for

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cs.LG2024

Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting

Tao Han, Zhibin Wen, Zhenghao Chen +3

The development of Time-Series Forecasting (TSF) models is often constrained by the lack of comprehensive datasets, especially in Global Station Weather Forecasting (GSWF), where e…

cs.LG2024★ 1 cited

CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer

Tao Han, Zhenghao Chen, Song Guo +2

The advent of data-driven weather forecasting models, which learn from hundreds of terabytes (TB) of reanalysis data, has significantly advanced forecasting capabilities. However,…

cs.LG2024★ 2 cited

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

Wanghan Xu, Fenghua Ling, Wenlong Zhang +4

Data-driven artificial intelligence (AI) models have made significant advancements in weather forecasting, particularly in medium-range and nowcasting. However, most data-driven we…

cs.SI2024

GraphPub: Generation of Differential Privacy Graph with High Availability

Wanghan Xu, Bin Shi, Ao Liu +2

In recent years, with the rapid development of graph neural networks (GNN), more and more graph datasets have been published for GNN tasks. However, when an upstream data owner pub…

cs.LG2024★ 7 cited

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling

Junchao Gong, Lei Bai, Peng Ye +5

Precipitation nowcasting based on radar data plays a crucial role in extreme weather prediction and has broad implications for disaster management. Despite progresses have been mad…

cs.LG2024★ 7 cited

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

Wanghan Xu, Kang Chen, Tao Han +3

Data-driven weather forecast based on machine learning (ML) has experienced rapid development and demonstrated superior performance in the global medium-range forecast compared to…

cs.OH2024

Is 3-(F)WL Enough to Distinguish All 3D Graphs?

Wanghan Xu

The problem of graph isomorphism is an important but challenging problem in the field of graph analysis, for example: analyzing the similarity of two chemical molecules, or studyin…