Jinyang Li

Affiliations:
  • University of Illinois at Urbana-Champaign, IL, USA
  • University of Science & Technology of China, Hefei, China


According to our database1, Jinyang Li authored at least 39 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.
CoRR, 2024

2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

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

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.
Proceedings of Machine Learning and Systems 2022, 2022

The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example.
Proceedings of the IEEE Military Communications Conference, 2022

IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things.
Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

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

Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders.
CoRR, 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

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

On Polarization Dynamics in the Age of Information Overload.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

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

The Paradox of Information Access: Growing Isolation in the Age of Sharing.
CoRR, 2020

The Paradox of Information Access: On Modeling Social-Media-Induced Polarization.
CoRR, 2020

Disentangling Overlapping Beliefs by Structured Matrix Factorization.
CoRR, 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

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

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

Towards an Efficient Cyber-Physical System for First-Mile Taxi Transit in Urban Complex.
Proceedings of the 19th IEEE International Symposium on High Assurance Systems Engineering, 2019

2018
Planning Mobile Charging Vehicles Based on User Charging Behavior.
Proceedings of the 1st International Workshop on Internet of People, 2018

Towards Accurate and Real-time Information Extrapolation on Charging Pile Network.
Proceedings of the 1st International Workshop on Internet of People, 2018

An Automatic and Accurate Localization System for Firefighters.
Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, 2018

Planning Electric Vehicle Charging Stations Based on User Charging Behavior.
Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, 2018

ST-DRN: Deep Residual Networks for Spatio-Temporal Metro Stations Crowd Flows Forecast.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dynamic pricing at electric vehicle charging stations for waiting time reduction.
Proceedings of the 4th International Conference on Communication and Information Processing, 2018

Towards an Efficient and Real-Time Scheduling Platform for Mobile Charging Vehicles.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
Towards a holistic and optimized framework for smart grid regulation.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

Dynamic Pricing at Electric Vehicle Charging Stations for Queueing Delay Reduction.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

TennisMaster: an IMU-based online serve performance evaluation system.
Proceedings of the 8th Augmented Human International Conference, 2017

2016
Towards a Sustainable Incentive Mechanism for Participatory Sensing.
Proceedings of the First IEEE International Conference on Internet-of-Things Design and Implementation, 2016


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