Chenhao Xu

Orcid: 0000-0003-0819-7269

According to our database1, Chenhao Xu authored at least 19 papers between 2017 and 2024.

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



In proceedings 
PhD thesis 




SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems.
IEEE Trans. Mob. Comput., May, 2024

A Learning-Based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence.
IEEE Internet Things J., May, 2024

FedAGA: A federated learning framework for enhanced inter-client relationship learning.
Knowl. Based Syst., 2024

An Optimized Privacy-Protected Blockchain System for Supply Chain on Internet of Things.
IEEE Internet Things J., 2024

ODC-SA Net: Orthogonal Direction Enhancement and Scale Aware Network for Polyp Segmentation.
CoRR, 2024

Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation.
CoRR, 2024

HSViT: Horizontally Scalable Vision Transformer.
CoRR, 2024

Asynchronous federated learning on heterogeneous devices: A survey.
Comput. Sci. Rev., November, 2023

An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation.
IEEE Trans. Veh. Technol., May, 2023

Deep Learning Techniques for Video Instance Segmentation: A Survey.
CoRR, 2023

RPDP: An Efficient Data Placement based on Residual Performance for P2P Storage Systems.
CoRR, 2023

AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness.
CoRR, 2023

Optimum Design and Stiffness Analysis of a 3-RCU Parallel Manipulator <sup>*</sup>.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

FL-SEC: Privacy-Preserving Decentralized Federated Learning Using SignSGD for the Internet of Artificially Intelligent Things.
IEEE Internet Things Mag., 2022

A Lightweight and Attack-Proof Bidirectional Blockchain Paradigm for Internet of Things.
IEEE Internet Things J., 2022

BASS: Blockchain-Based Asynchronous SignSGD for Robust Collaborative Data Mining.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Blockchain-Enabled Asynchronous Federated Learning in Edge Computing.
Sensors, 2021

BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Learning convolutional neural network to maximize Pos@Top performance measure.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017