Hai-yang WANG 王海洋

About me: Hi! I am a final year PhD candidate from Politecnico di Milano, where I am so lucky to have Prof. Luca Mainardi as my supervisor. I obtained my M.Sc. in ECE from University of Macau under Prof. Mingchui Dong. From 2013 to 2016, I was working on Heart Sound Signal analysis as a student research assistant in E-health care Lab of University of Macao. In 2015, I was selected as a visiting research student on retina image processing in University of Porto, Portugal. Before purusing Ph.D., I worked as a senior lecturer in China. I am a big fun of sports, volleyball, fencing, dragon boat and ski etc.

Email: haiyang.wang@polimi.it

Research Interest:

AI in Medicine, Generative AI, Foundation Model, Medical Image Analysis

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News:

"Endoscopic Images Reveal Loss of Heterozygosity with Radiomics Fusing Vascular Biomarkers" was accepted by CIBB 2015.
"Transfer Learning on a Deep Learning Approach to Optimize Laryngeal Cancer Detection on Endoscopic Images” was accepted by 2025 IEEE MetroXRAINE
The Haiyang WANG's personal Profile is bulit on 21 April 2025

Publications:

1. Hai-Yang WANG, and Mainardi L. “CTGAN in Augmentation of Radiomics Features Classification from Narrow Band Imaging for Laryngeal Cancer” Eindhoven, the Netherland, 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2024: 1-5.

2. Hai-Yang WANG, Francesca Ronchetti, and Luca Mainardi. "A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer" 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE, 2023.

3. Hai-Yang WANG, Zhang K, Luca Mainardi. “An Interpretable Framework Utilizing Radiomics for Laryngeal Cancer Classification through Narrow Band Imaging” [J]. IEEE Access, 2024.

4.Hai-Yang WANG, Francesco Carlo Tartaglia, Carlo Resteghini, AlbertoPaderno, Paolo Bossi, and Luca Mainardi “Endoscopic Images Reveal Loss of Heterozygosity with Radiomics Fusing Vascular Biomarkers” 20th conference on Computational Intelligence methods for Bioinformatics and Biostatistics September 10 - 12, 2025 in Milano, Italy

5.Hai-yang WANG and Luca Mainardi, “Transfer Learning on a Deep Learning Approach to Optimize Laryngeal Cancer Detection on Endoscopic Images” 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering

1. Hai-Yang WANG, Guang-Pei LI, Bin-Bin FU and Ming-Chui DONG, “A Timbre Model Based on Multidimensional Features for Analyzing Heart Sound”, International Conference on Advances in Bio-Informatics, Bio-Technology and Environmental Engineering (ABBE 2014), London UK, 1st-2nd of Jun. 2014.

2. Hai-Yang WANG, Guang-Pei LI, Bin-Bin FU, Jun HUANG and Ming-Chui DONG, “Multidimensional Feature Extraction Based on Timbre Model for Heart Sound Analysis”, International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB 2014), Vol. 4(5): pp. 318-321, ISSN: 2010-3638, Sep. 2014.

3. Hai-Yang WANG, Guang-Pei LI, Bin-Bin FU, Hao-Dong YAO, and Ming-Chui DONG, “A Segmentation-Free Model for Heart Sound Feature Extraction”, the 3rd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015), Granada, Spain, 15th-17th of Apr. 2015.

4. Yao, H. D., Ma, J. L., Fu, B. B., Hai-Yang WANG & Dong, M. C. (2015, July). "A novel murmur-based heart sound feature extraction technique using envelope-morphological analysis" In Seventh International Conference on Digital Image Processing (ICDIP 2015) (Vol. 9631, pp. 402-407). SPIE.