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.

The University of Texas Graduate Engineering Council hosted their annual Graduate and Industry Networking event (GAIN) on February 5.

As mobile wireless communications progress, the Federal Communications Commission (FCC) is exploring technologies that could lead to the emergence of a new generation of millimeter wave (mmWave) wireless spectrum by the year 2020. Before mmWave carrier frequencies can be applied to cellular networks, spectrum allocations and regulatory frameworks must be determined. 

In recognition of his outstanding performance as a summer intern, Qualcomm awarded WNCG Ph.D. student Tianyang Bai the Roberto Padovani Fellowship.  The fellowship was created in 2008 to recognize Qualcomm’s corporate research and development interns who demonstrate superior technical performance during their summer internship. Roberto Padovani was Qualcomm’s chief technology officer for nearly 10 years and was a leading innovator for the company.