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Shiwei Liu and Visual Informatics Group Receive Best Paper Award at LoG 2022

Jan. 6, 2023
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.
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Students Lakshay Narula and Matthew Murrian Receive Qualcomm Innovation Fellowships

June 27, 2017
Today in Austin, pedestrians and cyclists account for more than 50% of all traffic deaths, even though they only make up about 20% of travelers on the roads. While the push towards automated vehicles could reduce these deaths, unless vehicles receive help from pedestrians, automated cars could become too cautious and risk avoidant to function efficiently.