CV

This is an academic CV of Wang Cheng.

Contact Information

Name Wang Cheng
Professional Title Postdoctoral Researcher
Email chwang@mori.m.is.nagoya-u.ac.jp
Location South Wing 466, Furo-cho, Chikusa-ward, Nagoya, Aichi 464-8601

Professional Summary

I am a Postdoctoral Researcher at Nagoya University. My research focuses on medical and biomedical image analysis, computer vision, deep learning, and vision-language models. My research interests include computer-assisted intervention, bronchoscopic navigation, microscopic image analysis, plant phenotyping, and AI-assisted medical report generation.

Experience

  • 2021 - present

    Nagoya, Japan

    Postdoctoral Researcher
    Nagoya University
    Conducting research in medical and biomedical image analysis, computer vision, deep learning, and multimodal artificial intelligence.
    • Computer-assisted intervention and bronchoscopic navigation
    • Microscopic and biomedical image analysis
    • Vision-language models and automated medical report generation
    • Deep learning for medical and biological imaging

Education

  • 2016 - 2021

    Nagoya, Japan

    Ph.D.
    Nagoya University
    Information Science
  • 2015 - 2016

    Nagoya, Japan

    Research Student
    Nagoya University
    Information Science
  • 2014 - 2015

    Changchun, China

    Japanese Language Course
    Preparatory School for Chinese Students to Japan
    Japanese Language
  • 2011 - 2014

    Changchun, China

    Master's Degree
    Changchun University of Science and Technology
    Computer Applications and Technology
  • 2007 - 2011

    Qiqihar, China

    Bachelor's Degree
    Qiqihar University
    Mathematics and Applied Mathematics (Teacher Education)

Research Experience

Awards

  • 2013
    Third Prize, University Student NAO Online Programming Contest
    University Student NAO Online Programming Contest
  • 2013
    Excellence Award, Graduate Student Mechanical Intelligence Challenge
    Changchun University of Science and Technology
  • 2014
    Outstanding Master's Thesis of Jilin Province
    Jilin Province, China
  • 2015
    Japanese Government (MEXT) Scholarship
    Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan
  • 2023
    Best Paper Award
    The 15th International Association for Plant Biotechnology Congress

    Award associated with the research on deep learning-based automatic plant root detection and measurement.

  • 2025
    Poster Award
    International Forum on Medical Imaging in Asia (IFMIA 2025)

    Co-author of the award-winning work on RLHF-based Q&A pair generation from abdominal CT finding reports.

Skills

Research Areas (Advanced): Medical Image Analysis, Biomedical Image Analysis, Computer Vision, Deep Learning, Vision-Language Models, Computer-Assisted Intervention, Bronchoscopic Navigation, Microscopic Image Analysis, Plant Phenotyping

Interests

Medical and Biomedical Artificial Intelligence: Medical Image Analysis, Computer-Assisted Intervention, Multimodal AI, Vision-Language Models, Microscopic Image Analysis, Automated Medical Report Generation