Ruonan Zhao
Orcid: 0000-0002-7479-585X
According to our database1,
Ruonan Zhao
authored at least 27 papers
between 2017 and 2025.
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Bibliography
2025
Lightweight Tensor-Enabled GRU for Trustworthy and Communication Efficient Federated Learning in Industrial IoT.
IEEE Trans. Ind. Informatics, March, 2025
Tensor-Empowered Lightweight Representations for Personalized Federated Learning in Heterogeneous 6G Networks.
IEEE Netw., March, 2025
Tensor-Empowered Hardware-Friendly Lightweight Deep Neural Networks for Vehicular Edge Computing.
IEEE Trans. Consumer Electron., February, 2025
Improving Ethereum Mixing Address Linking With Tensor Computation, Neighbor Data Utilization, and Asymmetric Information Modeling.
IEEE Trans. Inf. Forensics Secur., 2025
IEEE Access, 2025
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Multi-Tree Compact Hierarchical Tensor Recurrent Neural Networks for Intelligent Transportation System Edge Devices.
IEEE Trans. Intell. Transp. Syst., August, 2024
Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach.
IEEE Internet Things J., June, 2024
A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario.
IEEE Trans. Intell. Transp. Syst., May, 2024
Tensor-Empowered LSTM for Communication-Efficient and Privacy-Enhanced Cognitive Federated Learning in Intelligent Transportation Systems.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024
IEEE Trans. Netw. Sci. Eng., 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
2023
A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset.
Remote. Sens., November, 2023
Trans. Inst. Meas. Control, 2023
Tensor-Enabled Communication-Efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space-Air-Ground-Integrated IoT.
IEEE Internet Things J., 2023
Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems.
IEEE Commun. Surv. Tutorials, 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Proceedings of the 8th International Conference on Information Systems Engineering, 2023
Semi-asynchronous Federated Learning Optimized for NON-IID Data Communication based on Tensor Decomposition.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
2022
TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare.
ACM Trans. Multim. Comput. Commun. Appl., 2022
A Tensor-Based Truthful Incentive Mechanism for Blockchain-Enabled Space-Air-Ground Integrated Vehicular Crowdsensing.
IEEE Trans. Intell. Transp. Syst., 2022
Lightweight Tensor Deep Computation Model With Its Application in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2022
2018
An on-demand coverage based self-deployment algorithm for big data perception in mobile sensing networks.
Future Gener. Comput. Syst., 2018
A novel energy-efficient probabilistic routing method for mobile opportunistic networks.
EURASIP J. Wirel. Commun. Netw., 2018
An Efficient Energy-Aware Probabilistic Routing Approach for Mobile Opportunistic Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018
2017
A social-aware probabilistic routing approach for mobile opportunistic social networks.
Trans. Emerg. Telecommun. Technol., 2017
A Routing Algorithm Based on the Prediction of Node Meeting Location in Opportunistic Networks.
Proceedings of the Wireless Sensor Networks, 2017