Sotabase

Career

· Assistant Professor, George Mason University2020–

Publications (79)

DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing
The Web Conference · 2016
672
cited
Towards Environment Independent Device Free Human Activity Recognition
ACM/IEEE International Conference on Mobile Computing and Networking · 2018
508
cited
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
ACM International Conference on Embedded Networked Sensor Systems · 2017
198
cited
Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency
ACM International Conference on Embedded Networked Sensor Systems · 2020
160
cited
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices
ACM International Conference on Embedded Networked Sensor Systems · 2018
138
cited
Deep Learning for the Internet of Things
Computer · 2018
124
cited
ControlVAE: Controllable Variational Autoencoder
International Conference on Machine Learning · 2020
117
cited
Revisiting "Over-smoothing" in Deep GCNs
arXiv.org · 2020
107
cited
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
The Web Conference · 2019
87
cited
GIobalFusion
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2020
59
cited
Scalable social sensing of interdependent phenomena
International Symposium on Information Processing in Sensor Networks · 2015
58
cited
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion
International Conference on Information and Knowledge Management · 2020
54
cited
CrossRoI: cross-camera region of interest optimization for efficient real time video analytics at scale
ACM SIGMM Conference on Multimedia Systems · 2021
52
cited
Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective
International Conference on Computer Communications and Networks · 2021
51
cited
DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing · 2019
51
cited
SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications
IEEE Conference on Computer Communications · 2019
47
cited
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2021
46
cited
On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines
IEEE Real-Time Systems Symposium · 2020
46
cited
DeepMV
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2020
43
cited
Hypergraph Learning with Line Expansion
arXiv.org · 2020
43
cited
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Shuochao Yao | Researcher Profile | Sotabase | Sotabase