Wei Niu

Wei Niu is an Assistant Professor in the School of Computing at the University of Georgia, affiliated with the Franklin College of Arts & Sciences. His research focuses on real-time machine learning systems, AGI on embedded devices, compiler optimization, and parallel computing. He holds a Ph.D. in Computer Science from William & Mary (2023) and a B.S. from Beihang University (2016). Prior to academia, he worked at Bytedance as a mobile software developer (2016–2018).

Research Interests: Dr. Niu’s work emphasizes optimizing deep neural networks (DNNs) for real-time execution on mobile and embedded systems. His contributions include frameworks like SmartMem (memory optimization for DNNs on mobile devices), GCD² (compiler for mobile DSPs), and SoD² (static optimization for dynamic DNNs). He also explores applications in autonomous vehicles, healthcare, and edge computing.

Recent Trends in Publications: His articles address DNN efficiency, compiler-driven optimization, and real-time systems. Recent work includes semantic segmentation for autonomous vehicles, food recognition, and lossy data compression for scientific computing. He prioritizes practical solutions for edge devices and embedded systems.

Funding: He leads NSF-funded projects totaling $600K, collaborating with Gagan Agrawal. These include MITTEN (memory hierarchy optimizations for transformers) and CropDL (scheduling DNNs on HPC clusters).

Teaching & Labs: He offers RA positions for Ph.D. candidates and maintains a lab developing real-time AI applications (e.g., style transfer, object detection). Videos of his work are available on YouTube and Bilibili.