News

Yifan Jiang, a PhD student in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, has been named a recipient of a 2023 Apple Scholars in AI/ML PhD fellowship. The Apple Scholars in AI/ML PhD fellowship recognizes the contributions of researchers in computer science and engineering at the graduate and postgraduate level. Apple Scholars in AI/ML are selected based on their innovative research, record as thought leaders and collaborators, and commitment to advancing their respective fields.

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.