Zezhi Shao

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.

Zeus achieves superior time series analysis performance without any task-specific tuning, challenging the norm of fine-tuning for diverse tasks.