Scholar
Yue Cheng
Google Scholar ID: TMGwBH0AAAAJ
Associate Professor, University of Virginia
Citations & Impact
Citations
2,241
H-index
21
i10-index
29
Publications
20
Co-authors
99
list available
Resume (English only)
Academic Achievements
- Recipient of NSF CAREER Award (2021), Amazon Research Award (2021), Meta Research Award (2022), IEEE CS TCHPC Early Career Researchers Award for Excellence in HPC (2022), and Samsung GRO 2023 Award (2023). Ranked among Stanford’s World’s Top 2% Scientists in 2024.
Research Experience
- Currently an Associate Professor of Data Science and Computer Science at the University of Virginia. Current research projects include: (1) LLM systems: making LLM applications elastic and scalable; (2) Serverless and FaaS: improving serverless computing using an end-to-end approach; (3) Storage for AI: rethinking storage system designs and data reduction techniques for AI applications.
Education
- Ph.D. in Computer Science from Virginia Tech, advised by Dr. Ali R. Butt. During his Ph.D., he interned at IBM Research Almaden (summers of 2013 and 2014) and Dell EMC Princeton Office (first half of 2015).
Background
- Data Systems Researcher, with research interests spanning distributed systems, serverless and cloud computing, storage systems, operating systems, and high-performance computing. Current research focuses on designing scalable, high-performance, and easy-to-use computer systems that manage and process large volumes of data.
Miscellany
- Looking for motivated graduate/undergrad interns interested in conducting research in cutting-edge LLM systems areas (serverless AI, LLM agents, storage for ML/AI models/datasets). Most projects are open-source and available on the group's GitHub page.
