Jilin Hu

This work proposes QUALS, a large-scale time series corpus equilibrium framework that significantly enhances data efficiency, enabling existing models to achieve superior performance using only a small fraction of the original training data.

WrapFlow revolutionizes irregular time series forecasting by eliminating the need for complex numerical solvers while achieving state-of-the-art accuracy.