Cankun Zhong

Orcid: 0000-0002-4271-6483

According to our database1, Cankun Zhong authored at least 15 papers between 2021 and 2026.

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

2026
Distilled from teacher's Q-neighborhoods.
Int. J. Mach. Learn. Cybern., May, 2026

2025
Dynamic Client Selection for Over-the-Air Federated Learning Network.
IEEE Internet Things J., June, 2025

ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training.
IEEE Trans. Cybern., May, 2025

Parameter-efficient target-specialized audio spectrogram transformers via selective cross-domain knowledge distillation.
Knowl. Based Syst., 2025

Clustering with dynamic bipartite graph learning.
Neurocomputing, 2025

Robust graph representation learning with asymmetric debiased contrasts.
Expert Syst. Appl., 2025

ACIL-SED: An Acoustic Clustering and Imbalance Learning Method for Sound Event Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024
Improving domain generalization by hybrid domain attention and localized maximum sensitivity.
Neural Networks, 2024

2023
Multi-object tracking for horse racing.
Inf. Sci., August, 2023

Robust recurrent neural networks for time series forecasting.
Neurocomputing, March, 2023

A Robust Frequency-Domain-Based Graph Adaptive Network for Parkinson's Disease Detection From Gait Data.
IEEE Trans. Multim., 2023

2022
An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients.
Int. J. Mach. Learn. Cybern., 2022

A Sensitivity-based Pruning Method for Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction.
Int. J. Mach. Learn. Cybern., 2021

A deep learning based hybrid method for hourly solar radiation forecasting.
Expert Syst. Appl., 2021


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