Shuteng Niu

Orcid: 0000-0002-1069-9236

According to our database1, Shuteng Niu authored at least 30 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Explainable AI for Comparative Analysis of Intrusion Detection Models.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

2023
SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022
Cross-Modality Transfer Learning for Image-Text Information Management.
ACM Trans. Manag. Inf. Syst., 2022

Throughput Optimization in Heterogeneous Swarms of Unmanned Aircraft Systems for Advanced Aerial Mobility.
IEEE Trans. Intell. Transp. Syst., 2022

Zero-Bias Deep-Learning-Enabled Quickest Abnormal Event Detection in IoT.
IEEE Internet Things J., 2022

Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey.
IEEE Internet Things J., 2022

Spatial-Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction.
IEEE Internet Things J., 2022

Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection.
Proceedings of the IEEE International Performance, 2022

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach.
Proceedings of the IEEE International Performance, 2022

2021
ADS-B signals records for non-cryptographic identification and incremental learning.
Dataset, May, 2021

Optimal Routing for Beamforming-Constrained Swarm UAS Networking.
IEEE Trans. Netw. Sci. Eng., 2021

Distant Domain Transfer Learning for Medical Imaging.
IEEE J. Biomed. Health Informatics, 2021

Zero-Bias Deep Learning for Accurate Identification of Internet-of-Things (IoT) Devices.
IEEE Internet Things J., 2021

Class-Incremental Learning for Wireless Device Identification in IoT.
IEEE Internet Things J., 2021

Blockchain enabled verification for cellular-connected unmanned aircraft system networking.
Future Gener. Comput. Syst., 2021

Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT.
CoRR, 2021

Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey.
CoRR, 2021

Lightweight blockchain assisted secure routing of swarm UAS networking.
Comput. Commun., 2021

Bio-inspired routing for heterogeneous Unmanned Aircraft Systems (UAS) swarm networking.
Comput. Electr. Eng., 2021

Reinforcement Learning based Scheduling for Heterogeneous UAV Networking.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Zero-bias Deep Neural Network for Quickest RF Signal Surveillance.
Proceedings of the IEEE International Performance, 2021

Reinforcement Learning Optimized Throughput for 5G Enhanced Swarm UAS Networking.
Proceedings of the ICC 2021, 2021

Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020
A 24-hour signal recording dataset with labels for cybersecurity and IoT.
Dataset, August, 2020

A Decade Survey of Transfer Learning (2010-2020).
IEEE Trans. Artif. Intell., 2020

Deep Learning Enabled Reliable Identity Verification and Spoofing Detection.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2020

Transfer Learning based Data-Efficient Machine Learning Enabled Classification.
Proceedings of the IEEE Intl Conf on Dependable, 2020

Feature-based Distant Domain Transfer Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Integration of Software Defined Radios and Software Defined Networking Towards Reinforcement Learning Enabled Unmanned Aerial Vehicle Networks.
Proceedings of the IEEE International Conference on Industrial Internet, 2019


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