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
TQTS-BENCH is introduced, a multi-syntax benchmark for evaluating text-to-query capabilities over TSDBs, and error analysis reveals that this performance gap mainly stems from the heterogeneous query syntaxes across different TSDBs, misinterpretation of time-specific intents, and incorrect schema linking.
Fei Lyu, Zhi-Yi Peng, Jia-Ming Liu et al.· 0 citations
Learning-state-aware dynamic generative data augmentation (LSADA) is proposed, which introduces a decoupled data augmentation and diffusion fusion strategy that applies strength-controlled transformations to class-relevant regions and generates diverse class-irrelevant regions, progressively fusing them to improve imag...
Ting Xiang, Chen-Xi Deng, Jinhui Zhao et al.· 0 citations
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