Jilong Xue is a researcher in System Research Group of Microsoft Research Asia (MSRA). His research focuses on building large-scale computing systems for resource-intensive workloads such as machine learning, deep learning, etc. through leveraging modern hardware including RDMA, GPU, etc.
Recently, he is actively working on optimizing deep learning framework to bridge AI applications and heterogeneous hardware, as well as building the next generation systems for future AI workloads.
Jilong received his Ph.D. in Computer Science from Peking University in 2016. Previously, he had been working on large-scale graph processing system, social network security, and streaming system.