3 papers
cs.LG2026
Beyond MSE: Rethinking the Evaluation Metric and Benchmarking for Irregular Time Series Forecasting
Rongwen Li, Haixin Xie, Xiao Wang +1
Existing research on irregular time-series forecasting has primarily focused on model design, while evaluation metrics remain insufficiently studied. Existing benchmarks typically…
cs.LG2026
Rethinking Irregular Time Series Forecasting from the Perspective of Basis Functions
Rongwen Li, Changjian Chen
Irregular time series forecasting is crucial in many domains, such as healthcare and meteorological observation. However, due to the inherent characteristics of irregular time seri…
cs.LG2026
GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation
Mingyang Wang, Rongwen Li, Xiao Wang +1
Multivariate time series imputation is fundamental to downstream analysis, yet modeling inter-variable dependencies with incomplete observations remains challenging. Existing metho…