Lei Yang
Orcid: 0000-0002-8732-3675Affiliations:
- South China University of Technology, School of Software Engineering, Guangzhou, China
- The Hong Kong Polytechnic University, Department of Computing, Hong Kong (PhD 2014)
According to our database1,
Lei Yang
authored at least 68 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Mob. Comput., December, 2024
Joint Optimization of Pricing, Dispatching and Repositioning in Ride-Hailing With Multiple Models Interplayed Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., December, 2024
IEEE Trans. Mob. Comput., June, 2024
Decentralized Task Offloading in Edge Computing: An Offline-to-Online Reinforcement Learning Approach.
IEEE Trans. Computers, June, 2024
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning.
ACM Trans. Knowl. Discov. Data, May, 2024
IEEE Trans. Parallel Distributed Syst., February, 2024
E<sup>2</sup>CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model.
CoRR, 2024
Multi-Source Coflow Scheduling in Collaborative Edge Computing with Multihop Network.
CoRR, 2024
RoleML: a Role-Oriented Programming Model for Customizable Distributed Machine Learning on Edges.
Proceedings of the 25th International Middleware Conference, 2024
2023
IEEE Trans. Mob. Comput., August, 2023
Optimizing Aggregation Frequency for Hierarchical Model Training in Heterogeneous Edge Computing.
IEEE Trans. Mob. Comput., July, 2023
ACM Trans. Knowl. Discov. Data, May, 2023
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Serv. Comput., 2023
Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data.
IEEE Trans. Netw. Sci. Eng., 2023
Blockchain-based Collaborative Edge Intelligence for Trustworthy and Real-Time Video Surveillance.
IEEE Trans. Ind. Informatics, 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
2022
An Energy-efficient and Privacy-aware Decomposition Framework for Edge-assisted Federated Learning.
ACM Trans. Sens. Networks, November, 2022
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Serv. Comput., 2022
IEEE Trans. Serv. Comput., 2022
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity.
IEEE Trans. Parallel Distributed Syst., 2022
Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Distributed resource scheduling in edge computing: Problems, solutions, and opportunities.
Comput. Networks, 2022
The 4th International Workshop on Network Meets Intelligent Computations (NMIC 2022): Preface.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
2021
Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Clouds.
IEEE Trans. Serv. Comput., 2021
IEEE Trans. Serv. Comput., 2021
IEEE Trans. Parallel Distributed Syst., 2021
Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services.
ACM Trans. Knowl. Discov. Data, 2021
IEEE Internet Things J., 2021
IEEE Internet Things J., 2021
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
2020
IEEE Trans. Ind. Informatics, 2020
IEEE Internet Things J., 2020
Restoring Connectivity of Damaged Sensor Networks for Long-Term Survival in Hostile Environments.
IEEE Internet Things J., 2020
Swarm-Intelligence-Based Rendezvous Selection via Edge Computing for Mobile Sensor Networks.
IEEE Internet Things J., 2020
QoS Guaranteed Resource Allocation for Live Virtual Machine Migration in Edge Clouds.
IEEE Access, 2020
Coding based Distributed Data Shuffling for Low Communication Cost in Data Center Networks.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
DP-Hybrid: A Two-Layer Consensus Protocol for High Scalability in Permissioned Blockchain.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020
2019
Understanding Mobile Users' Privacy Expectations: A Recommendation-Based Method Through Crowdsourcing.
IEEE Trans. Serv. Comput., 2019
Int. J. Mach. Learn. Cybern., 2019
Data-Aware Task Allocation for Achieving Low Latency in Collaborative Edge Computing.
IEEE Internet Things J., 2019
IEEE Internet Things J., 2019
2018
When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing.
IEEE Trans. Serv. Comput., 2018
ParGen: A Parallel Method for Partitioning Data Stream Applications in Mobile Edge Computing.
IEEE Access, 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
2017
AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning.
IEEE Trans. Parallel Distributed Syst., 2017
IEEE Access, 2017
Proceedings of the 46th International Conference on Parallel Processing, 2017
2016
IEEE Trans. Cloud Comput., 2016
IEEE Trans. Computers, 2016
2015
IEEE Trans. Mob. Comput., 2015
IEEE Trans. Computers, 2015
Inf. Media Technol., 2015
PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations.
Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015
2014
IEEE Trans. Parallel Distributed Syst., 2014
Subscriber dynamic characteristics-based wireless network accessing bandwidth prediction.
Int. J. Mach. Learn. Cybern., 2014
J. Ambient Intell. Humaniz. Comput., 2014
Heuristic offloading of concurrent tasks for computation-intensive applications in mobile cloud computing.
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014
Bejo: Behavior Based Job Classification for Resource Consumption Prediction in the Cloud.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
2013
A framework for partitioning and execution of data stream applications in mobile cloud computing.
SIGMETRICS Perform. Evaluation Rev., 2013
2012
A hybrid method for achieving high accuracy and efficiency in object tracking using passive RFID.
Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications, 2012
A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012