Shuochao Yao
Assistant Professor, Computer Science Department, George Mason University

Engineering 5327
4400 University Drive
Fairfax, VA 22030
Shuochao Yao is an 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.
I am 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.
news
Sep 23, 2025 | Our SenSys dynamic sparse DNN inference paper has been selected as SIGMOBILE Research Highlight. |
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Aug 23, 2025 | Our streaming LLM serving paper is accepted by EuroSys 26. |
Aug 22, 2025 | Our anytime Lidar inference paper received the Outstanding Paper Award in RTCSA 2025. |
Jun 25, 2025 | Serving on the Technical Program Committee (TPC) for SenSys 26. |
Mar 27, 2025 | Serving on the Technical Program Committee (TPC) for RTSS 25. |