Shuochao Yao

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

RTSS 2020 Best Paper Award
SenSys 2020 Best Paper Award
IMWUT (Volume 2) Distinguished Paper Award
SenSys 2017 Best Paper Award Nomination
ICCPS 2017 Best Paper Award

Featured Publications

Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek Abdelzaher
November 2020 Proceedings of the 18th Conference on Embedded Networked Sensor Systems

Deep Compressive Offloading: Speeding up Neural Network Inference by Trading Edge Computation for Network Latency

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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

Quickly discover relevant content by filtering publications.

Deep Compressive Offloading: Speeding up Neural Network Inference by Trading Edge Computation for Network Latency

Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek Abdelzaher
PDF Code

ControlVAE: Controllable Variational Autoencoder

Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek Abdelzaher

Scheduling real-time deep learning services as imprecise computations

Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek Abdelzaher
PDF

Truth Discovery with Multi-modal Data in Social Sensing

Huajie Shao, Dachun Sun, Shuochao Yao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance Kaplan, Tarek Abdelzaher

paper2repo: GitHub Repository Recommendation for Academic Papers

Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek Abdelzaher
See all publications

Contact

  • shuochao@gmu.edu
  • 4400 University Drive, Fairfax, VA 22030
  • Nguyen Engineering Building, 5327