Shengzhong Liu
Orcid: 0000-0002-7643-7239
According to our database1,
Shengzhong Liu
authored at least 62 papers
between 2015 and 2024.
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Bibliography
2024
Commun. ACM, February, 2024
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 30th IEEE Real-Time and Embedded Technology and Applications Symposium, 2024
2023
Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing.
Real Time Syst., 2023
DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics.
CoRR, 2023
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
Proceedings of the IEEE Real-Time Systems Symposium, 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
Underprovisioned GPUs: On Sufficient Capacity for Real-Time Mission-Critical Perception.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems.
IEEE Trans. Computers, 2022
Real-time task scheduling with image resizing for criticality-based machine perception.
Real Time Syst., 2022
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
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
DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows.
Proceedings of the ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example.
Proceedings of the IEEE Military Communications Conference, 2022
Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 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
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
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving.
CoRR, 2021
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders.
CoRR, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 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 Exploring Attention-based Explanation for Transformer Models in Text Classification.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 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
Comput. Math. Organ. Theory, 2020
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
Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020
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
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
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
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
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
2018
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
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
ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
2017
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
2015