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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.

Texas Wireless Summit (TWS) 2015 explored next generation wireless networks in a day-long event focused on The View to 5G: From Applications to the Air Interface. The 13th annual TWS provided a forum on emerging technology and business models for industry leaders and academics. Hosted by WNCG, TWS offered direct access to cutting-edge research and innovations from industry leaders, investors, academics and startups. Through keynote and panel-driven discussions, leading business and technology executives and top academics shared entrepreneurially-oriented research. WNCG Profs.

Since 2008, mobile traffic across the globe has increased at a rate of roughly 100 percent per year, while the available bandwidth, or spectrum, for data use has remained largely unchanged. During peak hours, wireless networks in major cities often reach a point of failure. With the explosion in online video traffic, which is predicted to occupy 66 percent of mobile traffic by 2017, industry, academia and government are searching for the future of mobile networks. The solution? To push beyond 4G networks and bring 5G to life and to consumers.