Wei Niu

Wei Niu is an Assistant Professor in the School of Computing at the University of Georgia. He received his Ph.D. in Computer Science from William & Mary under the supervision of Dr. Bin Ren, following a B.S. in Software Engineering from Beihang University. Before beginning his doctoral studies, he worked as a mobile-platform software developer at Bytedance Ltd. His research focuses on real-time machine learning systems, artificial general intelligence (AGI) on embedded devices, and compiler optimization and parallel computing. His work has appeared in leading conferences and journals, including PLDI, ASPLOS, MICRO, ICCV, CVPR, AAAI, NeurIPS, ECCV, DAC, and Communications of the ACM.

In addition to his academic research, Dr. Niu has developed a number of innovative real-time AI applications for mobile devices, including projects involving network style transfer, YOLO-based object detection, super-resolution, black-and-white image and video colorization, and 3D object detection based on R2+1D, C3D, and S3D models. His recent work includes a National Science Foundation (NSF)-funded project, conducted in collaboration with Professor and School Director Gagan Agrawal, focused on enabling powerful artificial intelligence systems to run efficiently in practical computing environments.