Faculty

Yue Cheng

Assistant Professor of Data Science

School of Data Science

Additional Roles

Assistant Professor Computer Science

Department of Computer Science

Email: mrz7dp@virginia.edu

Additional Contact Information

Website: tddg.github.io/

Office: Elson 179

Google Scholar

ORCID

Profile Research

Yue Cheng holds a dual appointment as an Assistant Professor in the School of Data Science and in the Department of Computer Science. His research interests include distributed systems, cloud and serverless computing, high-performance computing, and operating systems. His research is driven by the complexities of modern data-intensive computer systems, and the need for more efficient and easy-to-use approaches to manage such complexities.

Cheng's current research focuses on designing efficient data systems for data science. Specifically, he is currently working on: (1) designing efficient stateful serverless computing systems using a full-stack approach spanning applications, platforms, and operating systems/hardware, and (2) building better computing and storage systems for distributed machine learning.

Prior to joining UVA, Cheng was an Assistant Professor of Computer Science at George Mason University. He holds a Ph.D. in Computer Science from Virginia Tech, and a B.Eng in Computer Science from Beijing University of Posts and Telecommunications in China.

Education

Ph.D., Computer Science, Virginia Polytechnic Institute and State University
B.Eng., Computer Science, Beijing University of Posts and Telecommunications

Selected Publications

Fu, Y., Liu, L., Wang, H., Cheng, Y., Chen, S. (2022). Smart OS Scheduling for Serverless Functions. International Conference for High Performance Computing, Networking, Storage, and Analysis

Wang, A., Chang, S., Tian, H., Wang, H., Yang, H., Li, H., Du, R., Cheng, Y.
(2021). FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. USENIX Annual Technical Conference

Carver, B., Zhang, J., Wang, A., Anwar, A., Wu, P., Cheng, Y. (2020). Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing.
ACM Symposium on Cloud Computing

Chai, Z., Ali, A., Zawad, S., Truex, S., Anwar, A., Baracaldo, N., Zhou, Y., Ludwig, H., Yan, F., Cheng, Y. (2020). TiFL: A Tier-based Federated Learning System. ACM Symposium on High-Performance Parallel and Distributed Computing

Wang, A., Zhang, J., Ma, X., Anwar, A., Rupprecht, L., Skourtis, D., Tarasov, V., Yan, F., Cheng, Y. (2020). InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. 18th USENIX Conference on File and Storage Technologies