Recently, Professor Junchi Yan, a distinguished faculty member from the School of Artificial Intelligence at Shanghai Jiao Tong University, has been spotlighted as a cover author on IEEE Xplore. His research team's article, "DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling", was published in IEEE TPAMI—a premier journal in the field of artificial intelligence.

This groundbreaking research introduces a novel paradigm for the automated and lightweight design of neural networks, empowering developers to craft efficient models with a "do-it-yourself" approach. Professor Junchi Yan stands as a preeminent scholar in machine learning. Currently serving as a professor at the School of Artificial Intelligence, Shanghai Jiao Tong University, he previously held the position of chief researcher at IBM Research.

Professor Yan has consistently played a pivotal role as an area chair for the three major machine learning conferences—ICML, NeurIPS, and ICLR. Additionally, he serves on the editorial boards of flagship AI journals such as TPAMI and PRJ, wielding significant influence within the academic community.