Yunlong Lu
Orcid: 0000-0001-9552-5130
According to our database1,
Yunlong Lu
authored at least 49 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Internet Things J., March, 2024
IEEE Trans. Veh. Technol., 2024
Blockchain empowered access control for digital twin system with attribute-based encryption.
Future Gener. Comput. Syst., 2024
2023
Blockchain enabled zero trust based authentication scheme for railway communication networks.
J. Cloud Comput., December, 2023
IEEE Internet Things J., June, 2023
Coalition based utility and efficiency optimization for multi-task federated learning in Internet of Vehicles.
Future Gener. Comput. Syst., 2023
Efficient Resource Allocation and Semantic Extraction for Federated Learning Empowered Vehicular Semantic Communication.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
High Gain Monopulse Variable Inclination Continuous Transverse Stub Antenna for Satellite-Aided Vehicular Communications.
IEEE Internet Things J., 2022
2021
Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT.
IEEE Trans. Ind. Informatics, 2021
Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks.
IEEE Trans. Ind. Informatics, 2021
Flattened aggregate function method for nonlinear programming with many complicated constraints.
Numer. Algorithms, 2021
IEEE Internet Things J., 2021
Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks.
IEEE Internet Things J., 2021
CoRR, 2021
2020
Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles.
IEEE Trans. Veh. Technol., 2020
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT.
IEEE Trans. Ind. Informatics, 2020
Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics.
IEEE Trans. Ind. Informatics, 2020
Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems.
IEEE Netw., 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory.
CoRR, 2020
IEEE Access, 2020
A Batch Variable Learning Rate Gradient Descent Algorithm With the Smoothing L<sub>1/2</sub> Regularization for Takagi-Sugeno Models.
IEEE Access, 2020
2019
A gradient aggregate asymptotical smoothing algorithm for training max-min fuzzy neural networks.
Neurocomputing, 2019
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019
Deep Reinforcement Learning for Edge Caching and Content Delivery in Internet of Vehicles.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
2018
Millimeter-Wave Slotted Waveguide Array With Unequal Beamwidths and Low Sidelobe Levels for Vehicle Radars and Communications.
IEEE Trans. Veh. Technol., 2018
Signal Process., 2018
IEEE Access, 2018
IEEE Access, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Proceedings of the IEEE Global Communications Conference, 2018
2017
Synthetic bandwidth azimuth modulation imaging radar for airborne single-channel forward-looking imaging.
Signal Process., 2017
Numer. Algorithms, 2017
Cross-Range Resolution Enhancement for DBS Imaging in a Scan Mode Using Aperture-Extrapolated Sparse Representation.
IEEE Geosci. Remote. Sens. Lett., 2017
Efficient TR-TBD algorithm for slow-moving weak multi-targets in heavy clutter environment.
IET Signal Process., 2017
Digit. Signal Process., 2017
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017
2016
Signal Process., 2016
2014
J. Appl. Math., 2014
2013
IEEE Geosci. Remote. Sens. Lett., 2013
2012
An Inexact Quasi-Newton Algorithm Combined with Jacobian Restart Technique for Nonlinear Equation Systems.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012
A New Trust Region Method with Self-adaptive Update Rules for Unconstrained Optimization.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012
A Feasible SQP Method Using Augmented Lagrangian Function for General Constrained Optimization.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012