Scholar
Shuochao Yao
Google Scholar ID: JyE51wcAAAAJ
Assistant Professor of Computer Science, George Mason University
Citations & Impact
Citations
4,025
H-index
28
i10-index
53
Publications
20
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- - Our SenSys dynamic sparse DNN inference paper has been selected as SIGMOBILE Research Highlight.
- - Our streaming LLM serving paper is accepted by EuroSys 26.
- - Our anytime Lidar inference paper received the Outstanding Paper Award in RTCSA 2025.
- - Serving on the Technical Program Committee (TPC) for SenSys 26.
- - Serving on the Technical Program Committee (TPC) for RTSS 25.
Research Experience
- Currently serving as an Assistant Professor in the Computer Science Department at George Mason University.
Background
- Assistant Professor of Computer Science at George Mason University. His research centers on building physically aware, resource-efficient, reliable, and predictable artificial intelligence systems to enable the next generation of Internet of Things (IoT) and Cyber-Physical Systems (CPS). His work bridges theory and practice, with an emphasis on system-level design that addresses the constraints of embedded and mobile platforms. More broadly, he is interested in developing sensing and machine learning systems that are easy to deploy and capable of operating robustly in real-world environments, combining advances in embedded AI, mobile computing, and system optimization to deliver practical, intelligent applications.
Miscellany
- Looking for well-motivated students interested in bridging deep learning techniques to IoT/CPS. If you are interested in my research, please drop me an email.
