Under the guidance of Dr. Yanan Sun, Aojun Lu and Jingrong Xie, both Class 2023 students of the College of Computer Science, participated in the recent IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)’s Neural Architecture Search (NAS) competition and respectively won first and second place in the world. They have been invited to give oral presentations at the CVPR23 conference in Vancouver, Canada.

15 teams advanced to the finals after the preliminary contests and semi-finals. The teams of Aojun Lu and Jingrong Xie proceeded and competed in the final competition. The Kon team of Aojun Lu won the world's first place, while the Final team of Jingrong Xie got the second place.

CVPR is a CCF-A conference that focuses on cutting-edge research results in AI machine vision and pattern recognition. NAS mainly studies efficient algorithms for automatically designing neural network model structures, and is the main content of automated machine learning.The competition is hosted by CVPR's NAS series of seminars, organized by institutions such as Google, MIT, Facebook, Baidu, and universities. This competition has been held for three consecutive sessions, with different themes each year. This year, it focuses on the NAS new algorithm that can generate lightweight neural network models and has the best generalization ability on unknown data.