News

Texas ECE and Institute for Foundations of Machine Learning (IFMl) postdoc Shiwei Liu along with Prof. Atlas Wang and the Visual Informatics Group received the Best Paper Award at the Learning on Graphs (LoG) 2022 Conference for their paper “You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.” LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.

WNCG students Wenguang Mao and Mei Wang, along with their advisor, WNCG Professor Lili Qiu, won the “Best Paper” award at this year's ACM MobiSys, which took place over the summer in Munich, Germany. According to the conference website, MobiSys “seeks to present innovative and significant research on all aspects of mobile systems, applications, and services. The conference values technical contributions with working implementations and practical evaluations.” Mao, Wang and Qiu’s paper, titled “AIM: Acoustic Imaging on a Mobile,” was chosen from 40 papers accepted to the conference.