Research

Dr. Xie’s main field of interest is the development of statistical sketching and sampling methods for large-scale streaming dependent data, and the methods he has developed have been applied to different fields ranging from streaming online learning and sampling, spatial pattern reconstruction with sketching, to decentralized computing. He collaborates across several disciplines outside statistics, including computer science, geophysics, electrical and computer engineering, mechanical engineering and neuroscience, on data science problems related to signal reconstruction and denoising using randomized sketching and sampling, large-scale data normalization, statistical machine learning for high dimensional data, learning algorithms for Internet of Things (IoT), etc.