CV
Education
- Ph.D. in Artificial Intelligence / Computer Science, Hainan University, 2021-2025 (expected)
- M.S. in Artificial Intelligence, Hainan University, 2018-2021
- B.S. in Electronics & Information Engineering, Soochow University, 2014-2018
Note: Please update with your actual educational background.
Work Experience
Research Scholar, Hainan University – Present
- Research at the intersection of Traditional Chinese Medicine, meridian theory, and artificial intelligence.
- Developing deep learning models for biomedical signal processing and TCM-relevant imaging.
Publications
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.
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.
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.
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.
(Add your publications to the _publications/ directory.)
Talks
March 01, 2014
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
February 01, 2014
Talk at London School of Testing, London, UK
March 01, 2013
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
March 01, 2012
Talk at UC San Francisco, Department of Testing, San Francisco, California
Teaching
Service & Leadership
- Open to collaborations in AI + TCM, biomedical signal processing, and meridian theory modeling.