Shuochao Yao

Assistant Professor of Computer Science

George Mason University

Biography

Shuochao Yao is an assistant professor of computer science at George Mason University. His research focuses on building physical-aware, resource-efficient, reliable, and predictable artificial intelligence systems for future intelligent Internet of Things (IoT) and Cyber-Physical Systems (CPS).

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.

Interests

Cyber-Physical Systems
Machine Learning
Internet of Things

Education

PhD in Computer Science, 2019
University of Illinois at Urbana-Champaign
BS in Electrical Engineering, 2014
Shanghai Jiao Tong University

Research Awards

IMWUT (Volume 2) Distinguished Paper Award

SenSys 2017 Best Paper Award Nomination

ICCPS 2017 Best Paper Award

Featured Publications

Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, others

May 2019 The World Wide Web Conference

STFNets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks

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Shuochao Yao, Yiran Zhao, Huajie Shao, ShengZhong Liu, Dongxin Liu, Lu Su, Tarek Abdelzaher

November 2018 SenSys ‘18 Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems

Fastdeepiot: Towards understanding and optimizing neural network execution time on mobile and embedded devices

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Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek Abdelzaher

September 2018 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

SenseGAN: Enabling deep learning for internet of things with a semi-supervised framework

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Shuochao Yao, Yiran Zhao, Aston Zhang, Lu Su, Tarek Abdelzaher

April 2017 SenSys ‘17 Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

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Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek Abdelzaher

April 2017 Proceedings of the 26th International Conference on World Wide Web

Deepsense: A unified deep learning framework for time-series mobile sensing data processing

PDF Code

Recent Publications

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Shuochao Yao

Assistant Professor of Computer Science

George Mason University

Biography

Interests

Education

Research Awards

Featured Publications

STFNets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks

Fastdeepiot: Towards understanding and optimizing neural network execution time on mobile and embedded devices

SenseGAN: Enabling deep learning for internet of things with a semi-supervised framework

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

Deepsense: A unified deep learning framework for time-series mobile sensing data processing

Recent Publications

Truth Discovery with Multi-modal Data in Social Sensing

paper2repo: GitHub Repository Recommendation for Academic Papers

GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion

DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition

Five challenges in cloud-enabled intelligence and control

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