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Dr. Yiming Zhang
I recently completed my PhD at the University of Nottingham (Ningbo), advised by Dr. Ying Weng, Prof. Zhuo Chen, Prof. Tom Dening and Dr. Akram Hossein. Prior to that, I received my Master degree at the University of Melbourne and B.S. Hons degree in the University of Nottingham.
My research interests lie in machine learning, explainable artificial intelligence (XAI), surgical data science, medical image processing and computer-aided diagnosis.
Email /
CV /
GitHub /
ResearchGate
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News
2024-11: 'A Multi-View Learning Approach with a Diffusion Model to Synthesize FDG PET from MRI T1WI for the Diagnosis of Alzheimer's Disease' published at Alzheimer's & Dementia (IF: 13.1, CAS Q1).
2024-08: 'CWT-ViT: A Time–Frequency Representation and Vision Transformer-based Framework for Automated Robotic Surgical Skill Assessment' published at Expert Systems with Applications (IF: 7.5, CAS Q1).
2024-01: 'Semi-supervised Information Fusion for Medical Image Analysis: Recent Progress and Future Perspectives' published at Information Fusion (IF: 18.6, CAS Q1).
2023-10: 'A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis' published at Neural Networks (IF: 7.8).
2022-06: Our team is granted a 2022 Ningbo Major S&T Programm named "Research and Clinical Application of Brain Tumor Multi-modality Explainable Artificial Intelligence System based on Medical Image and Digital Pathology" (6 million RMB).
2022-03: 'An Intelligent Early Warning System of Analyzing Twitter Data Using Machine Learning on COVID-19 Surveillance in the US' published at Expert Systems with Applications (IF: 8.665, CAS Q1).
2022-01: 'Application of Explainable Artificial Intelligence in the Diagnosis and Surgery' published at Diagnostics (IF: 3.706, ESI Highly Cited Paper).
2021-03: I presented my research work at the UNNC Artificial Intelligence and Optimisation (AIOP) Research Seminar. [Slides]
2021-02: I attended the digital conference (VISAPP2021) and gave online oral presentation of our work. [Slides]
2021-01: Our team visited the Cixi Institute of Biomedical Engineering, CNITECH, CAS and I presented my recent research work.
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Academic Service
Reviewed for journal : Journal of Artificial Intelligence Research
Reviewed for journal : Artificial Intelligence Review
Reviewed for journal : Diagnostics
Reviewed for journal : Mathematics
Reviewed for journal : BMC Medical Informatics and Decision Making
Reviewed for journal : AI Perspectives & Advances
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Review (Journal)
Application of Explainable Artificial Intelligence in the Diagnosis and Surgery
Yiming Zhang, Ying Weng*, and Jonathan Lund
Diagnostics (IF: 3.706, SCI indexded, ESI Highly Cited Paper, 300+ citations)
DOI: 10.3390/diagnostics12020237
[PDF]
We summarize the XAI methods utilized in the medical XAI applications, the challenges that the researchers have met, and discuss the future research directions.
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Research article (Journal)
An Intelligent Early Warning System of Analyzing Twitter Data Using Machine Learning on COVID-19 Surveillance in the US
Yiming Zhang, Ke Chen, Ying Weng*, Zhuo Chen, Juntao Zhang, and Richard Hubbard
Expert Systems with Applications (IF: 8.665, SCI indexded, CAS Q1)
DOI:10.1016/j.eswa.2022.116882
We propose an intelligent COVID-19 early-warning system using Twitter data with novel machine learning methods.
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Research article (Journal)
CWT-ViT: A Time–Frequency Representation and Vision Transformer-based Framework for Automated Robotic Surgical Skill Assessment
Yiming Zhang, Ying Weng*, and Boding Wang
Expert Systems with Applications (IF: 7.5, SCI indexded, CAS Q1)
DOI: 10.1016/j.eswa.2024.125064
We propose a CWT-ViT framework that demonstrated the feasibility of applying time–frequency representation for automated robotic surgical skill assessment using kinematic data.
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Review article (Journal)
Semi-supervised Information Fusion for Medical Image Analysis: Recent Progress and Future Perspectives
Ying Weng*, Yiming Zhang, Wenxin Wang, and Tom Dening,
Information Fusion (IF: 18.6, SCI indexded, CAS Q1)
DOI: 10.1016/j.inffus.2024.102263
We review the recent progress of semi-supervised information fusion for medical image analysis.
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Honors and Awards
UNNC Doctoral Research Grant (5000 RMB), 2021.
UNNC PhD Scholarship Award - Healthcare Scholarship (492450 RMB), 2020.
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