Abstract: The paper is concerned with the two-sample mean testing problem in high-dimension settings. We propose a composite Hotelling's T-square test, establish its asymptotical normality and study its local power. The finite-sample priority of the proposed test over existing high-dimensional tests is shown by simulations and illustrated by a real data-set analysis.