Paper Accepted by Artificial Intelligence Review

A paper by doctoral student LI and colleagues was accepted by Artificial Intelligence Review.

Artificial Intelligence Review is a leading journal in artificial intelligence research and had an impact factor of 8.1.

The paper was accepted approximately 11 months after its initial submission, following review by five reviewers. This research was conducted in collaboration with the University of Georgia in the United States.

Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama, and Lin Meng, “An Architecture-level Analysis on Deep Learning Models for Low-Impact Computations,” Artificial Intelligence Review, Springer, 2022.