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.

IRVINE, Calif. – June 5, 2015 – The University of Texas at Austin graduate student Yingzhe Li presented innovative engineering research at the fourth annual Broadcom Foundation University Research Competition sponsored by Broadcom Foundation, a non-profit funded by Broadcom Corporation (NASDAQ: BRCM). Li’s project is titled “A Stochastic Geometry Approach to the Coexistence of LTE and Wi-Fi in Unlicensed Spectrum.”