Research output per year
Research output per year
Personal profile
Research Interests
My research interests lie in machine learning, explainable artificial intelligence (XAI), surgical data science, medical image processing and computer-aided diagnosis. Currently, I am working towards on deep-learning based surgical skill assessment.
Education/Academic qualification
Master, The University of Melbourne
Feb 2018 → Dec 2019
Award Date: 12 Dec 2019
Bachelor, The University of Nottingham
Sep 2013 → Jul 2017
Award Date: 18 Jul 2017
Person Types
- Students
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Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
Zhang, Y., Weng, Y. & Lund, J., Feb 2022, In: Diagnostics. 12, 2, 237.Research output: Journal Publication › Article › peer-review
Open Access13 Citations (Scopus) -
An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US
Zhang, Y., Chen, K., Weng, Y., Chen, Z., Zhang, J. & Hubbard, R., 15 Jul 2022, In: Expert Systems with Applications. 198, 116882.Research output: Journal Publication › Article › peer-review
3 Citations (Scopus) -
Curve based fast detail enhancement for biomedical images
Fei, R., Weng, Y., Zhang, Y. & Lund, J., 2021, VISAPP. Farinella, G. M., Radeva, P., Braz, J. & Bouatouch, K. (eds.). SciTePress, p. 337-343 7 p. (VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; vol. 4).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review