Lab Paper Selected as ESI Global Top 0.1% Hot Paper

According to the latest Essential Science Indicators data, the laboratory's paper on deep reinforcement learning-based task scheduling published in IEEE Transactions on Sustainable Computing was selected as both an ESI Top 0.1% Hot Paper and an ESI Top 1% Highly Cited Paper.

This is the second time that the laboratory has had a paper selected as an ESI Global Top 0.1% Hot Paper. The recognition reflects the international impact of the laboratory's research on intelligent scheduling and sustainable computing.