Kaiwen Xue, Kevin

My preferred name is Kevin.

I am a Ph.D. student at the Computer Science and Engineering Division of University of Michigan, advised by Professors Mosharaf Chowdhury and Ryan Huang. I am interested in computer systems.

My current research focuses on the system support for the emerging AI-enabled applications running on personal devices. I believe coordinating the execution of these applications require a set of strategies different from those in existing operating systems and datacenter-scale model inference serving systems.

I also did research in operating systems and computer architecture in the past. I worked with Professors Dimitrios Skarlatos, Shih-Wei Li, Jason Nieh, and Hong Xu before obtaining a Master's degree from Carnegie Mellon University and a joint Bachelor's degree from Columbia University and City University of Hong Kong, both in computer science.

1. Designing and Implementing Live Migration Support for Arm-based Confidential VMs
   Fang-Jie Yang, Jian-Lin Li, Kaiwen Xue, Shih-Wei Li, Proceedings of the 15th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys 2024), Kyoto, Japan, September 2024.
   


2. Contiguitas: The Pursuit of Physical Memory Contiguity in Datacenters
   Kaiyang Zhao, Kaiwen Xue, Ziqi Wang, Dan Schatzberg, Leon Yang, Antonis Manousis, Johannes Weiner, Rik van Riel, Bikash Sharma, Chunqiang Tang, and Dimitrios Skarlatos, Proceedings of the 50th Annual International Symposium on Computer Architecture (ISCA 2023), Orlando, FL, June 2023.
   
   Honors: ISCA '23 Best Paper Award; IEEE Micro Top Pick Selection


3. Efficient Real-time Video Conferencing with Adaptive Frame Delivery
   Libin Liu, Jingzong Li, Hong Xu, Kaiwen Xue, Chun Jason Xue, Elsevier Computer Networks, 2023.