Yiming Zhang

I am currently a PhD candidate in the School of Computer Science (Artificial Intelligence and Optimisation Research Group) at the University of Nottingham Ningbo China, advised by Dr. Ying Weng, Dr. Jonathan Lund and Prof. Zhuo Chen. 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. Currently, I am working towards on deep-learning based surgical skill assessment.

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  • 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" (Dr. Ying Weng, UNNC PI, 6300000 RMB).
  • 2022-06: I participated in the UNNC 4th Annual FoSE PGR Research Showcase event and presented my poster on 10th June 2022.
  • 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: 6.954).
  • 2022-01: 'Application of Explainable Artificial Intelligence in the Diagnosis and Surgery' published at Diagnostics (IF: 3.706).
  • 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: I visited the Cixi Institute of Biomedical Engineering, CNITECH, CAS with my lead supervisor and presented my recent research work.
  • Academic Service

  • Reviewed for journal : Sensors
  • Reviewed for journal : Journal of Artificial Intelligence Research
  • Reviewed for journal : Cancers
  • Reviewed for journal : Bioengineering
  • Reviewed for journal : Sustainability
  • Publications
    visapp Research article (Conference)
    Curve based Fast Detail Enhancement for Biomedical Images
    Ran Fei, Ying Weng*, Yiming Zhang, and Jonathan Lund
    VISAPP 2021 (EI indexded)

    We propose a fast method to adaptively enhance the details in the dark regions of biomedical images, including X-rays, video frames of laparoscopy in minimally invasive surgery (MIS).

    XAI Review (Journal)
    Application of Explainable Artificial Intelligence in the Diagnosis and Surgery
    Yiming Zhang, Ying Weng*, and Jonathan Lund
    Diagnostics (IF: 3.706, SCI JCR: Q2, 中科院三区)

    We summarize the XAI methods utilized in the medical XAI applications, the challenges that the researchers have met, and discuss the future research directions.

    COVID-19_Twitter 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: 6.954, SCI JCR: Q1, 中科院一区top)

    We propose an intelligent COVID-19 early-warning system using Twitter data with novel machine learning methods.

    Honors and Awards

  • UNNC Doctoral Research Grant (5000 RMB), 2021.
  • UNNC PhD Scholarship Award - Healthcare Scholarship (492450 RMB), 2020.

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