Yun Chu

Yun Chu

Research Scholar | Traditional Chinese Medicine · Meridian Theory · Artificial Intelligence

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

EZhouNet: A framework based on graph neural network and anchor interval for the respiratory sound event detection

Published in Biomedical Signal Processing and Control 112, 108491, 2026

EZhouNet leverages graph neural networks and anchor interval strategies for robust respiratory sound event detection.

Recommended citation: Y. Chu, Q. Wang, E. Zhou, Q. Liu, G. Zheng. (2026). "EZhouNet: A framework based on graph neural network and anchor interval for the respiratory sound event detection." Biomedical Signal Processing and Control. 112, 108491.
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CycleGuardian: A framework for automatic respiratory sound classification based on improved deep clustering and contrastive learning

Published in Complex & Intelligent Systems 11 (4), 200, 2025

An automatic respiratory sound classification framework combining improved deep clustering and contrastive learning.

Recommended citation: Y. Chu, Q. Wang, E. Zhou, L. Fu, Q. Liu, G. Zheng. (2025). "CycleGuardian: A framework for automatic respiratory sound classification based on improved deep clustering and contrastive learning." Complex & Intelligent Systems. 11(4), 200.
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Group channel pruning and spatial attention distilling for object detection

Published in Applied Intelligence 52 (14), 16246-16264, 2022

A model compression approach combining channel pruning with spatial attention knowledge distillation for efficient object detection.

Recommended citation: Y. Chu, P. Li, Y. Bai, Z. Hu, Y. Chen, J. Lu. (2022). "Group channel pruning and spatial attention distilling for object detection." Applied Intelligence. 52(14), 16246-16264.
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Conference Papers

Hybrid spectrogram for the automatic respiratory sound classification with group time frequency attention network

Published in 2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), 2023

A hybrid spectrogram approach with group time-frequency attention for automatic respiratory sound classification.

Recommended citation: Y. Chu, Q. H. Wang, E. Z. Zhou, G. Zheng, Q. Liu. (2023). "Hybrid spectrogram for the automatic respiratory sound classification with group time frequency attention network." 2023 IEEE 6th International Conference on PRAI.
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