activity
20232026
most citedWeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Support-Compiled Feature Folding: More Evidence at Lower Memory Across Tabular Foundation Models

Tian Zhou, Beverly Jin, Xue Wang +6

Wide tables offer tabular foundation models more evidence, but accessing it can exhaust their memory: full-width pairwise mixing grows quadratically with the number of columns, whi…

cs.LG2026

Transferable Evidence Reconstruction for Longitudinal Glucose Representations

Tian Zhou, Bingqing Peng, Linxiao Yang +6

Long physiological recordings contain many routine measurements, while predictive information often lies in rare events, sustained burden, and recurring patterns. These properties…

cs.LG2026

What Do Tabular Foundation Models Compute In Context? In-Situ Representation Refinement through Attention-Gated Updates

Tian Zhou, Beverly Jin, Linxiao Yang +6

A tabular foundation model must discover which distinctions matter for each new table without updating its parameters. We develop in-situ representation refinement: support labels…

cs.LG2026

Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling

Weiqi Chen, Wenwei Wang, Qilong Yuan +5

Data-driven weather models have advanced global medium-range forecasting, yet high-resolution regional prediction remains challenging due to unresolved multiscale interactions betw…

cs.LG2024

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting

Ziqing Ma, Wenwei Wang, Tian Zhou +4

Accurate solar power forecasting is crucial to integrate photovoltaic plants into the electric grid, schedule and secure the power grid safety. This problem becomes more demanding…

physics.ao-ph2023

DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling

Pengwei Liu, Wenwei Wang, Bingqing Peng +2

While widely recognized as one of the most substantial weather forecasting methodologies, Numerical Weather Prediction (NWP) usually suffers from relatively coarse resolution and i…

cs.LG2023★ 1 cited

WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction

Binqing Wu, Weiqi Chen, Wengwei Wang +3

Due to insufficient local area information, numerical weather prediction (NWP) may yield biases for specific areas. Previous studies correct biases mainly by employing handcrafted…