Shuochao Yao

Orcid: 0000-0001-7446-1430

According to our database1, Shuochao Yao authored at least 80 papers between 2014 and 2024.

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Bibliography

2024
Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines.
Commun. ACM, February, 2024

2023
Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing.
Real Time Syst., 2023

ScaleFlow: Efficient Deep Vision Pipeline with Closed-Loop Scale-Adaptive Inference.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Unified Knowledge Distillation Framework for Deep Directed Graphical Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems.
IEEE Trans. Computers, 2022

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Anytime-Lidar: Deadline-aware 3D Object Detection.
Proceedings of the 28th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2022

Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

Exploring Spherical Autoencoder for Spherical Video Content Processing.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Truth Discovery With Multi-Modal Data in Social Sensing.
IEEE Trans. Computers, 2021

Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services.
GetMobile Mob. Comput. Commun., 2021

Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization.
Frontiers Big Data, 2021

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

CrossRoI: cross-camera region of interest optimization for efficient real time video analytics at scale.
Proceedings of the MMSys '21: 12th ACM Multimedia Systems Conference, Istanbul, Turkey, 28 September 2021, 2021

Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

On Orthogonality Constraints for Transformers.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Five Challenges in Cloud-enabled Intelligence and Control.
ACM Trans. Internet Techn., 2020

DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.
CoRR, 2020

Challenging β-VAE with β<1 for Disentanglement Via Dynamic Learning.
CoRR, 2020

Hypergraph Learning with Line Expansion.
CoRR, 2020

Controllable Variational Autoencoder.
CoRR, 2020

Revisiting "Over-smoothing" in Deep GCNs.
CoRR, 2020

Disentangling Overlapping Beliefs by Structured Matrix Factorization.
CoRR, 2020

Multiscale online media simulation with SocialCube.
Comput. Math. Organ. Theory, 2020

paper2repo: GitHub Repository Recommendation for Academic Papers.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines.
Proceedings of the 41st IEEE Real-Time Systems Symposium, 2020

Scheduling Real-time Deep Learning Services as Imprecise Computations.
Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020

AMVP: Adaptive CNN-based Multitask Video Processing on Mobile Stream Processing Platforms.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

ControlVAE: Controllable Variational Autoencoder.
Proceedings of the 37th International Conference on Machine Learning, 2020

Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.
Proceedings of the World Wide Web Conference, 2019

Stardust: A deep learning serving system in IoT: demo abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Eugene: Towards Deep Intelligence as a Service.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Simulation Evaluation of Fuel-Saving Systems in the City of Chicago.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Unsupervised Fact-finding with Multi-modal Data in Social Sensing.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Deep learning for the internet of things
PhD thesis, 2018

Athena: Towards Decision-Centric Anticipatory Sensor Information Delivery.
J. Sens. Actuator Networks, 2018

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Deep Learning for the Internet of Things.
Computer, 2018

A predictive Self-Configuring Simulator for Online Media.
Proceedings of the 2018 Winter Simulation Conference, 2018

FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

QualityDeepSense: Quality-Aware Deep Learning Framework for Internet of Things Applications with Sensor-Temporal Attention.
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018

Towards Environment Independent Device Free Human Activity Recognition.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

A Constrained Maximum Likelihood Estimator for Unguided Social Sensing.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Codrive: cooperative driving scheme for vehicles in urban signalized intersections.
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Optimal Capacity-Delay Tradeoff in MANETs With Correlation of Node Mobility.
IEEE Trans. Veh. Technol., 2017

VibeBin: A Vibration-Based Waste Bin Level Detection System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.
CoRR, 2017

DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing.
Proceedings of the 26th International Conference on World Wide Web, 2017

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

Unveiling polarization in social networks: A matrix factorization approach.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Optimizing Source Selection in Social Sensing in the Presence of Influence Graphs.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Decision-Driven Execution: A Distributed Resource Management Paradigm for the Age of IoT.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

Demo: Unsupervised Fill-level Estimation for Smart Trash Removal Systems.
Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, 2017

On the improvement of classifying EEG recordings using neural networks.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Impacts of Social Relationships and Inhomogeneous Node Distribution on the Network Performance.
IEEE Trans. Wirel. Commun., 2016

An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers.
Proc. VLDB Endow., 2016

Recursive Ground Truth Estimator for Social Data Streams.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

2015
Data Acquisition for Real-Time Decision-Making under Freshness Constraints.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

Social Signal Processing for Real-Time Situational Understanding: A Vision and Approach.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Scalable social sensing of interdependent phenomena.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

On Exploiting Logical Dependencies for Minimizing Additive Cost Metrics in Resource-Limited Crowdsensing.
Proceedings of the 2015 International Conference on Distributed Computing in Sensor Systems, 2015

2014
Delay-throughput tradeoff with correlated mobility of ad-hoc networks.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014


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