معرفی
Jie Xu is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Florida, part of the College of Engineering. Their primary research area is Computer Engineering, with a focus on Edge computing, wireless communications, federated learning, and reinforcement learning. Xu holds a Ph.D. from UCLA (2015), M.S. and B.S. from Tsinghua University (2010/2008).
Key research interests include federated learning frameworks, edge computing optimization, quantum networking, and adversarial machine learning. Their work addresses challenges in distributed systems, IoT integration, and energy-efficient AI solutions. Xu has been recognized with prestigious awards including the NSF CAREER Award (2021) and the Distinguished Ph.D. Dissertation Award (UCLA, 2015).
Recent publications emphasize advancements in federated learning techniques (e.g., FedALT, LoRA-FAIR), quantum entanglement routing, and carbon-aware distributed systems (CAFE). Their research bridges theoretical foundations with practical applications in edge computing and wireless networks.
Xu’s lab focuses on collaborative edge intelligence, with projects involving automated neural network ensembles and mobility-assisted federated learning. They actively mentor students seeking Ph.D. opportunities in machine learning and communications, requiring strong mathematical and programming skills.
