Lei Yang

Orcid: 0000-0002-8732-3675

Affiliations:
  • 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 57 papers between 2012 and 2024.

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Bibliography

2024
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning.
ACM Trans. Knowl. Discov. Data, May, 2024

Distributed Semi-Supervised Learning With Consensus Consistency on Edge Devices.
IEEE Trans. Parallel Distributed Syst., February, 2024

2023
Reliable Dynamic Service Chain Scheduling in 5G Networks.
IEEE Trans. Mob. Comput., August, 2023

Optimizing Aggregation Frequency for Hierarchical Model Training in Heterogeneous Edge Computing.
IEEE Trans. Mob. Comput., July, 2023

Personalized Federated Learning on Non-IID Data via Group-based Meta-learning.
ACM Trans. Knowl. Discov. Data, May, 2023

Online Dependent Task Assignment in Preference Aware Spatial Crowdsourcing.
IEEE Trans. Serv. Comput., 2023

Non-Rejection Aware Online Task Assignment in Spatial Crowdsourcing.
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.
CoRR, 2023

2022
An Energy-efficient and Privacy-aware Decomposition Framework for Edge-assisted Federated Learning.
ACM Trans. Sens. Networks, November, 2022

Online Double Auction for Wireless Spectrum Allocation With General Conflict Graph.
IEEE Trans. Veh. Technol., 2022

A Novel Demand Dispatching Model for Autonomous On-Demand Services.
IEEE Trans. Serv. Comput., 2022

Partitioning Stateful Data Stream Applications in Dynamic Edge Cloud Environments.
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

ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing.
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

Network Aware Mobile Edge Computation Partitioning in Multi-User Environments.
IEEE Trans. Serv. Comput., 2021

Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing.
IEEE Trans. Parallel Distributed Syst., 2021

Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services.
ACM Trans. Knowl. Discov. Data, 2021

E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI.
IEEE Internet Things J., 2021

Multihop Offloading of Multiple DAG Tasks in Collaborative Edge Computing.
IEEE Internet Things J., 2021

Reliable Routing and Scheduling in Time-Sensitive Networks.
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
Latency-Aware Path Planning for Disconnected Sensor Networks With Mobile Sinks.
IEEE Trans. Ind. Informatics, 2020

Efficient Hybrid Data Dissemination for Edge-Assisted Automated Driving.
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

A Dynamic Partitioning Framework for Edge-Assisted Cloud Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019
Understanding Mobile Users' Privacy Expectations: A Recommendation-Based Method Through Crowdsourcing.
IEEE Trans. Serv. Comput., 2019

Data-Aware Task Allocation for Achieving Low Latency in Collaborative Edge Computing.
IEEE Internet Things J., 2019

Revisiting Computation Partitioning in Future 5G-Based Edge Computing Environments.
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

Joint Scheduling of Tasks and Network Flows in Big Data Clusters.
IEEE Access, 2018

ParGen: A Parallel Method for Partitioning Data Stream Applications in Mobile Edge Computing.
IEEE Access, 2018

Fast VM Startup by Cooperative Image Caching for Cloud Data Centers.
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

Application Repartitioning in the Cloud.
Computer, 2017

Edge Mesh: A New Paradigm to Enable Distributed Intelligence in Internet of Things.
IEEE Access, 2017

Network Aware Multi-User Computation Partitioning in Mobile Edge Clouds.
Proceedings of the 46th International Conference on Parallel Processing, 2017

2016
Run Time Application Repartitioning in Dynamic Mobile Cloud Environments.
IEEE Trans. Cloud Comput., 2016

Cost Aware Service Placement and Load Dispatching in Mobile Cloud Systems.
IEEE Trans. Computers, 2016

2015
Accurate and Efficient Object Tracking Based on Passive RFID.
IEEE Trans. Mob. Comput., 2015

Multi-User Computation Partitioning for Latency Sensitive Mobile Cloud Applications.
IEEE Trans. Computers, 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
Fault-Tolerant RFID Reader Localization Based on Passive RFID Tags.
IEEE Trans. Parallel Distributed Syst., 2014

Subscriber dynamic characteristics-based wireless network accessing bandwidth prediction.
Int. J. Mach. Learn. Cybern., 2014

Effective social relationship measurement based on user trajectory analysis.
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


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