Yifan Qiao

About Me

I am a fourth-year Ph.D. student in Computer Science Department at University of California, Los Angeles. I am generally interested in cloud computing and ML systems. I am co-advised by Professor Harry Xu and Professor Miryung Kim. I received the Amazon & UCLA Science Hub Fellowship in 2022.

Prior to graduate school, I earned my B.E. in Computer Science from Tsinghua University in 2019, and I was a research intern in PACMAN group and Storage research group. I also worked with Professor Umut Acar on scheduling algorithms for multithreaded parallel computing in 2018.

Contact

Research Interest

I work in the area of System for Cloud Computing and Machine Learning. My research spans machine learning algorithms, distributed systems, and operating systems.

In particular, I have worked on projects that aim to lower the barriers of training large-scale ML models on cloud and improve datacenter resource utilization with OS and runtime innovations. The underlying theme behind my research thrust is to design seamless, tightly integrated, vertical systems: (1) to co-design training algorithms and serverless computing platforms for distributed graph neural network training, (2) to co-design runtimes and OS kernel for adaptive and semantic-aware remote memory datapath, and (3) to re-design OS for isolated and efficient remote memory management.

Publications

Memory Disaggregation

ML Systems

Persistent Memory

Service

Awards

Last updated 03/2023