FuChen ZHENG’s Academic Profile

This is the front page of a website that showcases my academic journey and research contributions. I am currently a PhD student at CAS (SIAT) and the University of Macau, focusing on Computer Vision and Medical Imaging.

My Academic Journey

  • ⚙️ In August 2024, I submitted my second software copyright application for the “Automatic Registration System V1.0 for 3D Medical Images”.
  • 📈 In August 2024, my first academic paper, “SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation,” was accepted by IEEE BIBM 2024 (CCF B).
  • 🖥️ In July 2024, I submitted my first software copyright application for the “Accurate Automatic Segmentation System V1.0 for Liver Tumors and Multiple Organs in 3D Medical Images.”
  • 🤖 On March 5, 2024, I obtained the Certificate of Medical Artificial Intelligence Application Engineer.
  • 🏆 On January 9, 2024, I obtained the Certificate of Biomechanics and Medical 3D Modeling Application Engineer.
  • 🎓 In 2023, I received an offer from the joint PhD program between the University of Macau and CAS (SIAT) and began pursuing a doctorate degree. My current research focus is on computer vision.
  • 💡 In May 2023, I submitted two patent invention applications.
  • 🔬 In February 2023, I joined the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, as a research assistant intern.
  • 🎓 I obtained my master’s degree from the Hong Kong Polytechnic University in June 2023.
  • 📝 My first paper was accepted by CONF-SPML 2023.
  • 📚 In September 2021, I began studying for a Data Science and Analysis master’s degree at the Hong Kong Polytechnic University.
  • 👩‍🏫 From March 2021 to July 2021, I worked as an intern Python instructor at Codemao in Shenzhen.
  • 🎉 I graduated in 2020 and received my bachelor’s degree from the University of Alberta in early 2021.
  • 📊 From July 2020 to November 2020, I worked as a data analyst intern at Tencent in BeiJing.
  • 💼 Due to high tuition fees, I transferred to the University of Alberta in 2016 to study Computer Science and Applied Mathematics (double major).
  • 📜 In 2015, I received an undergraduate admission letter from the University of Toronto (St. George Campus).
  • 🎓 In 2014, I took the AP Calculus exam in high school and scored 5/5.

Education Background

  • 2023/08-present: PhD in Computer Science at CAS (SIAT) & University of Macau
    Research Area: Computer Vision, Medical Imaging
  • 2021/09-2023/06: Master in Data Science and Analytics at The Hong Kong Polytechnic University
    GPA: 3.55/4, Relevant Courses: Optimization Methods, Deep Learning, Big Data Computing, etc.
  • 2016/09-2021/03: Bachelor in Computing Science and Mathematics at University of Alberta
    GPA: 3/4, Relevant Courses: Calculus, Linear Algebra, Statistics, Image Processing, Face Recognition, etc.
  • 2015/09-2016/04: Bachelor in Physics at University of Toronto (Transferred to University of Alberta)

Working Experiences

  • 2020/07-2020/11: Data Analyst Intern at Tencent
    Conducted statistical analysis about Tencent news retrieval behaviors, including segmentation analysis and word frequency calculations.
  • 2021/03-2021/07: Python Instructor at Codemao Technology
    Taught Python to teenagers and compiled overseas teaching materials.
  • 2023/01-2023/08: Research Assistant Intern at SIAT
    Assisted in medical imaging-related research, including patents, software works, and publications.

Project Experiences

  1. Kaggle House Price Prediction Competition: Used statistical methods for data analysis and built a model based on XgBoost for prediction.
  2. Face Attendance Check-in System.
  3. English Spam Classification System Based on RNN and LSTM.
  4. Drug Rating Recommendation System Based on User Comments.
  5. Cat and Dog Photo Recognition Using a Self-Made 5-Layer CNN Model.

For more info

More info about my research and projects can be found on my GitHub profile and my ORCiD profile.