Qinglin Yang

Orcid: 0000-0002-7263-8914

According to our database1, Qinglin Yang authored at least 27 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification.
Sensors, April, 2024

Economic Systems in the Metaverse: Basics, State of the Art, and Challenges.
ACM Comput. Surv., April, 2024

Intelligent wireless sensing driven metaverse: A survey.
Comput. Commun., January, 2024

LDS-FL: Loss Differential Strategy Based Federated Learning for Privacy Preserving.
IEEE Trans. Inf. Forensics Secur., 2024

Scalability and Security of Blockchain-Empowered Metaverse: A Survey.
IEEE Open J. Comput. Soc., 2024

Efficient Model Compression for Hierarchical Federated Learning.
CoRR, 2024

Broker2Earn: Towards Maximizing Broker Revenue and System Liquidity for Sharded Blockchains.
Proceedings of the IEEE INFOCOM 2024, 2024

Can Federated Learning Clients be Lightweight? A Plug-and-Play Symmetric Conversion Module.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023
Collaborative Machine Learning: Schemes, Robustness, and Privacy.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A coordinates-based hierarchical computing framework towards spatial data processing.
Comput. Commun., November, 2023

Metaopera: A Cross-Metaverse Interoperability Protocol.
IEEE Wirel. Commun., October, 2023

Correction to: Loss-based differentiation strategy for privacy preserving of social robots.
J. Supercomput., 2023

Loss-based differentiation strategy for privacy preserving of social robots.
J. Supercomput., 2023

BlockEmulator: An Emulator Enabling to Test Blockchain Sharding Protocols.
CoRR, 2023

MetaOpera: A Cross-Metaverse Interoperability Protocol.
CoRR, 2023

Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles.
Comput. Commun., 2023

2022
Semi-Synchronous Federated Learning Protocol With Dynamic Aggregation in Internet of Vehicles.
IEEE Trans. Veh. Technol., 2022

DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Fusing Blockchain and AI With Metaverse: A Survey.
IEEE Open J. Comput. Soc., 2022

Fusing Blockchain and AI with Metaverse: A Survey.
CoRR, 2022

WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Cooperation of Mobile Devices for Fast Inference of Deep Learning Applications.
Mob. Networks Appl., 2021

2020
Deep Reinforcement Learning based Energy Scheduling for Edge Computing.
Proceedings of the IEEE International Conference on Smart Cloud, 2020

Deep Reinforcement Learning for Optimal Resource Allocation in Blockchain-based IoV Secure Systems.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

2019
Dayu: Fast and Low-interference Data Recovery in Very-large Storage Systems.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Computation offloading for fast CNN inference in edge computing.
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019

Grouping Strategy for RFID-Based Activity Recognition in Smart Home.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019


  Loading...