Chunyang Fan

Orcid: 0009-0007-6556-7234

According to our database1, Chunyang Fan authored at least 10 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Machine learning assisted prediction of the nitric oxide (NO) solubility in various deep eutectic solvents.
J. Ind. Inf. Integr., 2025

Similarity Measure Learning for Analogical Transfer (Short Paper).
Proceedings of the Joint Proceedings of the Workshops & Doctoral Consortium at the 33rd International Conference on Case-Based Reasoning (ICCBR-WS 2025) co-located with the 33rd International Conference on Case-Based Reasoning (ICCBR 2025), 2025

2024
Auto-Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration.
IEEE Trans. Veh. Technol., October, 2024

MM-SDVN: Efficient Mobility Management Scheme for Optimal Network Handover in Software-Defined Vehicular Network.
IEEE Internet Things J., October, 2024

Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles.
J. Grid Comput., March, 2024

LISP-MM: Efficient LISP-Based Mobility Management in Software Defined Vehicular Networks.
IEEE Trans. Netw. Sci. Eng., 2024

2023
Integration of a Lightweight Customized 2D CNN Model to an Edge Computing System for Real-Time Multiple Gesture Recognition.
J. Grid Comput., December, 2023

A Fair Post-processing Method Based on the MADD Metric for Predictive Student Models.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022
CBACS: A Privacy-Preserving and Efficient Cache-Based Access Control Scheme for Software Defined Vehicular Networks.
IEEE Trans. Inf. Forensics Secur., 2022

2018
Rolling Bearing Fault Diagnosis Using Modified LFDA and EMD With Sensitive Feature Selection.
IEEE Access, 2018


  Loading...