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
- Kaggle House Price Prediction Competition: Used statistical methods for data analysis and built a model based on XgBoost for prediction.
- Face Attendance Check-in System.
- English Spam Classification System Based on RNN and LSTM.
- Drug Rating Recommendation System Based on User Comments.
- 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.