Dai Wenrui

Dai Wenrui is a faculty member in the Department of Computer Science at Shanghai Jiao Tong University. His research interests include multimedia signal processing, video coding and sampling, medical information processing, and machine learning. He has contributed to several IEEE Transactions publications, including work on compressive video sampling, structured sparse representation, and scalable video coding. His research has been supported by the National Natural Science Foundation of China. His profile page provides additional details on his academic work and contact information.

Wenrui Dai is a researcher at Shanghai Jiao Tong University with expertise in Predictive Modeling, Image/Video Coding, and Signal Processing. His work focuses on developing advanced algorithms for traffic flow forecasting, secure data analysis, and efficient neural network compression. He has contributed to the design of secure computation frameworks for genomic studies and biomedical data science, as well as innovations in image compression and human vision adaptation. His research also explores domain adaptation techniques for tasks like gaze estimation and face anti-spoofing, emphasizing robustness across different data distributions. Additionally, he has worked on reinforcement learning for adaptive video streaming and neural architecture search to reduce computational redundancy.