Yongxin Liu

Orcid: 0000-0003-4527-8623

Affiliations:

Embry-Riddle Aeronautical University, Department of Electrical, Computer, Software, and Systems Engineering, SONG Lab, FL, USA
Auburn University, Montgomery, AL, USA (2021-2022)
South China University of Technology, Guangdong, China (PhD 2018)

According to our database¹, Yongxin Liu authored at least 59 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Energy-Aware and Loss-Resilient Data Collection for AAV-Assisted Unbalanced IoT Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2026

Knowledge Graphs and Transportation-State Features for Urban Transportation System Intrusion Detection.

[BibT_eX]

[DOI]

Syst., 2026

2025

Privacy Safeguarding for Human-Computer Interaction Based on Adaptive Federated Learning With Actor-Critic Selection.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., May, 2025

Security and Reliability of Internet of Underwater Things: Architecture, Challenges, and Opportunities.

[BibT_eX]

[DOI]

ACM Comput. Surv., March, 2025

Federated Learning for Internet of Underwater Things Based on Lightweight Distillation and Data Refinement.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2025

2024

Flexible Differential Privacy for Internet of Medical Things Based on Evolutionary Learning.

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[DOI]

IEEE Internet Things J., May, 2024

Incomplete multi-view clustering via structure exploration and missing-view inference.

[BibT_eX]

[DOI]

Inf. Fusion, March, 2024

A survey of data collaborative sensing methods for smart agriculture.

[BibT_eX]

[DOI]

Internet Things, 2024

Explainable Artificial Intelligence for Antenna Sensor Modeling.

[BibT_eX]

[DOI]

Wenkai Tan

Jayaprakash Shivakumar

Rishikesh Srinivasaraghavan Govindarajan

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

Explainable AI for Comparative Analysis of Intrusion Detection Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

A Systematic Survey: Security Threats to UAV-Aided IoT Applications, Taxonomy, Current Challenges and Requirements With Future Research Directions.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2023

Knowledge Distillation-Based GPS Spoofing Detection for Small UAV.

[BibT_eX]

[DOI]

Future Internet, 2023

GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

GPS Spoofing on UAV: A Survey.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Cross-Modality Transfer Learning for Image-Text Information Management.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2022

Throughput Optimization in Heterogeneous Swarms of Unmanned Aircraft Systems for Advanced Aerial Mobility.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Zero-Bias Deep-Learning-Enabled Quickest Abnormal Event Detection in IoT.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Performance, 2022

2021

ADS-B signals records for non-cryptographic identification and incremental learning.

[BibT_eX]

[DOI]

Dataset, May, 2021

Optimal Routing for Beamforming-Constrained Swarm UAS Networking.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2021

Distant Domain Transfer Learning for Medical Imaging.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

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

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Class-Incremental Learning for Wireless Device Identification in IoT.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Blockchain enabled verification for cellular-connected unmanned aircraft system networking.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Lightweight blockchain assisted secure routing of swarm UAS networking.

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[DOI]

Comput. Commun., 2021

Bio-inspired routing for heterogeneous Unmanned Aircraft Systems (UAS) swarm networking.

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[DOI]

Comput. Electr. Eng., 2021

Reinforcement Learning based Scheduling for Heterogeneous UAV Networking.

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[DOI]

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Zero-bias Deep Neural Network for Quickest RF Signal Surveillance.

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[DOI]

Proceedings of the IEEE International Performance, 2021

Abnormal Data Detection of Unmanned Aerial Vehicles Based on Double Shortcuts ZB-ResNet.

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[DOI]

Proceedings of the IEEE International Conference on Signal Processing, 2021

Reinforcement Learning Optimized Throughput for 5G Enhanced Swarm UAS Networking.

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[DOI]

Proceedings of the ICC 2021, 2021

Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems.

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[DOI]

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.

[BibT_eX]

[DOI]

Dataset, August, 2020

A Decade Survey of Transfer Learning (2010-2020).

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2020

Dynamic Inversion of Inland Aquaculture Water Quality Based on UAVs-WSN Spectral Analysis.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Deep Learning Enabled Reliable Identity Verification and Spoofing Detection.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2020

Analysis of Segregated Witness Implementation for Increasing Efficiency and Security of the Bitcoin Cryptocurrency.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

Transfer Learning based Data-Efficient Machine Learning Enabled Classification.

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[DOI]

Proceedings of the IEEE Intl Conf on Dependable, 2020

Applying Machine Learning to Aviation Big Data for Flight Delay Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl Conf on Dependable, 2020

Feature-based Distant Domain Transfer Learning.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

An Intelligent Vision Based Sensing Approach for Spraying Droplets Deposition Detection.

[BibT_eX]

[DOI]

Sensors, 2019

A Cloud-Assisted Region Monitoring Strategy of Mobile Robot in Smart Greenhouse.

[BibT_eX]

[DOI]

Mob. Inf. Syst., 2019

Domain-specific data mining for residents' transit pattern retrieval from incomplete information.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2019

Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design.

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[DOI]

Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Integration of Software Defined Radios and Software Defined Networking Towards Reinforcement Learning Enabled Unmanned Aerial Vehicle Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Industrial Internet, 2019

Analysis of Rogue Access Points Using SDR.

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[DOI]

Charles Mercenit