Yunlong Lu

Orcid: 0000-0001-9552-5130

According to our database1, Yunlong Lu authored at least 48 papers between 2012 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Adaptive Digital Twin Placement and Transfer in Wireless Computing Power Network.
IEEE Internet Things J., March, 2024

Matching Game for Multi-Task Federated Learning in Internet of Vehicles.
IEEE Trans. Veh. Technol., 2024

2023
Blockchain enabled zero trust based authentication scheme for railway communication networks.
J. Cloud Comput., December, 2023

Energy-Efficient Task Transfer in Wireless Computing Power Networks.
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

Official International Mahjong: A New Playground for AI Research.
Algorithms, 2023

Efficient Resource Allocation and Semantic Extraction for Federated Learning Empowered Vehicular Semantic Communication.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Intelligent Reflecting Surfaces aided Task Offloading in Digital Twin Edge Networks.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

PAFL: Parameter-Authentication Federated Learning for Internet of Vehicles.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Resource-Efficient DAG Blockchain with Sharding for 6G Networks.
IEEE Netw., 2022

High Gain Monopulse Variable Inclination Continuous Transverse Stub Antenna for Satellite-Aided Vehicular Communications.
IEEE Internet Things J., 2022

Techniques and Paradigms in Modern Game AI Systems.
Algorithms, 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

Blockchain and Federated Learning for 5G Beyond.
IEEE Netw., 2021

Flattened aggregate function method for nonlinear programming with many complicated constraints.
Numer. Algorithms, 2021

Adaptive Edge Association for Wireless Digital Twin Networks in 6G.
IEEE Internet Things J., 2021

Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks.
IEEE Internet Things J., 2021

FAPR: Fast and Accurate Program Repair for Introductory Programming Courses.
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

Seamless Integration of Active Antenna With Improved Power Efficiency.
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

Deep Reinforcement Learning for Edge Computing and Resource Allocation in 5G Beyond.
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

A new method for parameter estimation of high-order polynomial-phase signals.
Signal Process., 2018

Wideband Full-Corporate-Feed Waveguide Continuous Transverse Stub Antenna Array.
IEEE Access, 2018

A Novel Mechanism for Fast Detection of Transformed Data Leakage.
IEEE Access, 2018

Dual-Polarized Filtering Antenna With Printed Jerusalem-Cross Radiator.
IEEE Access, 2018

A Weighted Context Graph Model for Fast Data Leak Detection.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Collaborative Graph-Based Mechanism for Distributed Big Data Leakage Prevention.
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

A subspace conjugate gradient algorithm for large-scale unconstrained optimization.
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

Model-based Rao test for adaptive range-spread target detection.
Digit. Signal Process., 2017

CFAR detection of DRFM deception jamming based on singular spectrum analysis.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

2016
Persymmetric detectors of distributed targets in partially homogeneous disturbance.
Signal Process., 2016

2014
A Novel Self-Adaptive Trust Region Algorithm for Unconstrained Optimization.
J. Appl. Math., 2014

2013
Unsupervised Change Detection on SAR Images Using Triplet Markov Field Model.
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


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