报告人
Wanxin Shi
Fudan University.
时间
2025年11月18日 星期二
下午 14:00-15:00
地点
602会议室
Abstract
With the continuous growth of video services, improving delivery efficiency and quality has become a critical demand. This talk presents an edge-assisted video distribution framework that integrates transmission, computation and scheduling optimization within a unified architecture. By leveraging the proximity and collaborative capability of edge nodes, the framework enables adaptive content delivery, intelligent resource utilization and quality enhancement under dynamic network environments. It lays a foundation for scalable and efficient video systems, bridging research innovation with real-world deployment.
Biography
Dr. Wanxin Shi is currently a postdoctoral researcher at Fudan University. She received her Ph.D. from Tsinghua University and previously conducted collaborative research at Peng Cheng Laboratory. Her research focuses on edge-assisted intelligent multimedia delivery, aiming to enhance video transmission efficiency and user experience. She has published papers in IEEE COMST, IEEE TMM, WWW, ACM MM and IWQoS, and has led several research projects, including the NSFC (Youth Program), the China Postdoctoral Science Foundation (Special Grant), the Shanghai Pujiang Program, and the Shanghai Super Postdoctoral Program.
