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Ming-Yang Wang

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#machine learning Preprint Sep 2026

STCFormer: Adaptive Spatio-Temporal Modeling with Dynamic Cluster Transformer for Station-based Weather Forecasting

Station-based weather forecasting supports daily life and economic activity, yet accurate forecasts require modeling complex spatial dependencies among stations. Recent clustering-based selective modeling offers a promising alternative to dense inter-station interactions. However, a grouping shared across an observatio...

Rong Li, Hai-Xin Xie, Ming-Yang Wang et al. · 0 citations

Preprint Aug 2026

GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation

GLAIM is a Global-Local Adaptive Inter-variable Dependency Modeling framework for multivariate time series imputation that achieves state-of-the-art performance under random and block missingness, remains robust to missing-rate shifts, and benefits from its complementary global and local components.

Ming-Yang Wang, Rong Li, Xiao Wang et al. · 0 citations