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.

Prof. Alex Dimakis of Texas ECE was one of three distinguished speakers o give a plenary talk at the 52nd annual Conference on Information Sciences and Systems (CISS) at Princeton University on March 23, 2018. Prof. Dimakis delivered a talk entitled "Generative Adversarial Networks (GANs) and Compressed Sensing." Prof. Pramod Viswanath of the University of Illinois at Urbana-Champaign and Prof. Bin Yu of the University of California, Berkeley also gave plenary talks.