Hi, this is Mingyu! I am a third year Ph.D. student in Electrical and Computer Engineering at Cornell University, advised by Prof. Christina Delimitrou. My research interest lies in cloud computing, computer systems and computer architecture. I am currently working on benchmark characterization and root cause analysis of large-scale microservices. Before joining Cornell, I obtained my B.S. degree in Computer Science at Shanghai Jiao Tong University (SJTU), advised by Prof. Chao Li.


Ph.D. student: Sept. 2019 - present

Electrical and Computer Engineering, Cornell Unviersity

Bachelor: Sept. 2015 - Jun. 2019

Computer Science, Shanghai Jiao Tong University


Research intern: May 2021 to Aug. 2021

Google Brain, hosted by Martin Maas, Sudip Roy and Hyeontaek Lim

Research intern: Jun. 2018 to Oct. 2018

Xtra Computing Group, advised by Prof. Bingsheng He, National University of Singapore


Yu Gan, Mingyu Liang, Sundar Dev, David Lo, and Christina Delimitrou. “Sage: Practical & Scalable ML-Driven Performance Debugging in Microservices”. 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April 2021. [PDF]

Zeyi Wen, Mingyu Liang, Bingsheng He and Zexin Xia. “High-Performance Index for Real-Time Matrix Retrieval”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. [PDF]

Xiaofeng Hou, Mingyu Liang, Chao Li, Wenli Zheng, Quan Chen, and Minyi Guo. “When Power Oversubscription Meets Traffic Flood Attack: Re-thinking Data Center Peak Load Management”. Proc. the 48th International Conference on Parallel Processing (ICPP), Aug. 2019. [PDF]

Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, and Bo Li. “Aucher: Multi-modal Queries on Live Audio Streams in Real-time”. The 35th IEEE International Conference on Data Engineering (ICDE), pages 1960-1963, 2019 (demo). [PDF]

Honors & Awards



Address: Rhodes Hall 471C, Cornell University, Ithaca, NY, 14850