Biography
I am a final-year Ph.D. candidate at Cornell University, advised by Prof. Christina Delimitrou. My research interest lies in Cloud Computing, ML and Systems, and Computer Architecture. More recently, I focus on the performance optimization and benchmark generation for ML models. I was a research intern at Google Brain in 2021 and at Meta in 2022.
Before joining Cornell, I obtained my B.S. degree at Shanghai Jiao Tong University, advised by Prof. Chao Li.
I am actively looking for full-time job opportunities in industry.
Education
Ph.D. in Electrical and Computer Engineering, Cornell University, 2024 (expected)
Bachelor in Computer Science, Shanghai Jiao Tong University, 2019
Experience
Research engineer intern: May 2022 - Jan 2023
Meta, mentored by Wenyin Fu
Research intern: May-Aug, 2021
Google Brain, mentored by Martin Maas
Research intern: Jun-Oct, 2018
Xtra Computing Group, advised by Prof. Bingsheng He, National University of Singapore
Publications
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, and Christina Delimitrou. “Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks”. In 50th International Symposium on Computer Architecture (ISCA), Orlando, Florida, June 2023. [pdf]
Mingyu Liang*, Yu Gan*, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, and Christina Delimitrou. “Ditto: End-to-End Application Cloning for Networked Cloud Services”. In 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April 2023. Selected in IEEE Micro's Top Picks special issue of “most significant papers in computer architecture based on novelty and long-term impact” for 2023. [pdf]
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. Selected in IEEE Micro's Top Picks special issue of “most significant papers in computer architecture based on novelty and long-term impact” for 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
IEEE Micro’s Top Picks, for the paper “Ditto: End-to-End Application Cloning for Networked Cloud Services”, 2023
ML and Systems Rising Stars, ML Commons, 2023
IEEE Micro’s Top Picks, for the paper “Sage: Practical & Scalable ML-Driven Performance Debugging in Microservices”, 2021
Cornell Graduate Fellowship, 2019
Zhiyuan College Honors Scholarship, 2016, 2017
Teaching Experience
Embedding Systems (ECE 3140), Spring 2023
Datacenter Computing (ECE 5710), Spring 2021
Contact
Email: ml2585@cornell.edu
Address: Rhodes Hall 471C, Cornell University, Ithaca, NY, 14850