:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Binqing, Chen, Weiqi, Wang, Wengwei, Peng, Bingqing, Sun, Liang, Chen, Ling
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2310.05517
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting
by: Wu, Binqing, et al.
Published: (2025)

Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling
by: Chen, Weiqi, et al.
Published: (2026)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
by: Luo, Yingtao, et al.
Published: (2025)

ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
by: Wu, Binqing, et al.
Published: (2025)

PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning
by: Zambon, Daniele, et al.
Published: (2025)

MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)

Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis
by: Shang, Zongjiang, et al.
Published: (2026)

WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer
by: Gong, Junchao, et al.
Published: (2024)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
by: Niu, Peisong, et al.
Published: (2025)

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
by: Qin, Haoyu, et al.
Published: (2024)

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
by: Zheng, Jiaqi, et al.
Published: (2025)

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
by: Zhang, Yihe, et al.
Published: (2024)

Target Concept Tuning Improves Extreme Weather Forecasting
by: Ren, Shijie, et al.
Published: (2026)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)

CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
by: Inoue, Takuya, et al.
Published: (2025)

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
by: Chen, Ling, et al.
Published: (2021)

Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models
by: Arif, Huzaifa, et al.
Published: (2025)

Federated Weather Modeling on Sensor Data
by: Chen, Shengchao, et al.
Published: (2026)

AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
by: Wu, Binqing, et al.
Published: (2026)

Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
by: Song, Changhoon, et al.
Published: (2026)

From AI Weather Prediction to Infrastructure Resilience: A Correction-Downscaling Framework for Tropical Cyclone Impacts
by: Wu, You, et al.
Published: (2026)

Performance Monitoring of Proton Exchange Membrane Water Electrolyzer by Transformers-Based Machine Learning Model
by: Chen, Bingqing, et al.
Published: (2026)

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
by: Xu, Wanghan, et al.
Published: (2024)

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
by: Xu, Fan, et al.
Published: (2026)

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges
by: Li, Ruize, et al.
Published: (2026)

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
by: Nath, Pritthijit, et al.
Published: (2024)

Deep Learning and Foundation Models for Weather Prediction: A Survey
by: Shi, Jimeng, et al.
Published: (2025)

PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
by: Mathe, Johan, et al.
Published: (2019)

WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning
by: Zhao, Xiangyu, et al.
Published: (2024)

WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models
by: Jin, Weixin, et al.
Published: (2024)

Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
by: Akazan, Ange-Clement, et al.
Published: (2025)

Federated Prompt Learning for Weather Foundation Models on Devices
by: Chen, Shengchao, et al.
Published: (2023)

Sparse Local Implicit Image Function for sub-km Weather Downscaling
by: Redondo, Yago del Valle Inclan, et al.
Published: (2025)

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
by: Hua, Zhanxiang, et al.
Published: (2025)

GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs
by: Zhu, Zhongshu, et al.
Published: (2024)

Handling Weather Uncertainty in Air Traffic Prediction through an Inverse Approach
by: Lancia, G., et al.
Published: (2025)

Valid Error Bars for Neural Weather Models using Conformal Prediction
by: Gopakumar, Vignesh, et al.
Published: (2024)

Directed Link Prediction using GNN with Local and Global Feature Fusion
by: Zhang, Yuyang, et al.
Published: (2025)

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
by: Gella, Blake, et al.
Published: (2024)