Author

Xiao Wang

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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

#artificial intelligence Preprint Aug 2026

Beyond MSE: Rethinking the Evaluation Metric and Benchmarking for Irregular Time Series Forecasting

The Continuous-time Squared Error (CSE) is proposed, which employs importance weighting to eliminate the influence of the timestamp sampling distributions and theoretically proves that CSE's asymptotic estimation error with respect to continuous-time risk is no greater than that of MSE.

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