About Me

I am currently a Postdoctoral Fellow in the Department of Statistics and Data Science, The Chinese University of Hong Kong (CUHK), supervised by Prof. Zhixiang Lin. My current research focuses on integrating multi-omics with computational pathology for cancer diagnosis, tumor heterogeneity analysis, and interpretable multimodal modeling.

I received my M.Sc. degree in Statistics from Lanzhou University, and my Ph.D. degree in Computer Science and Technology from Harbin Institute of Technology, Shenzhen, under the supervision of Prof. Yongbing Zhang.

During my Ph.D., I was supported by the China Scholarship Council (CSC) and conducted research at the Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Germany, where I worked with Dr. Jianxu Chen. My doctoral research centered on computational pathology, including nuclei instance segmentation, multimodal large language models, and visual reasoning for cancer diagnosis.

I also maintain a collection of online Reading Notes and Figure Library, where I curate reading notes, key figures, and thematic summaries spanning computer vision, machine learning, multi-omics, and biomedical foundations.

News

  • ❤️
    March 2026
    Join The Chinese University of Hong Kong as a Postdoctoral Fellow in the Department of Statistics and Data Science.
  • 🎓
    January 2026
    Successfully defended my Ph.D. dissertation and obtained a Ph.D. in Engineering.
  • 🎉
    May 2025
    Paper “The Four Color Theorem for Cell Instance Segmentation” accepted at ICML 2025.
  • 🇩🇪
    September 2024
    Began joint Ph.D. training at Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V..

Research Experience

Postdoctoral Fellow, Computational Biology
The Chinese University of Hong Kong
Integrating statistical modeling, computational pathology, and multi-omics for cancer research.
2026 – Present
Joint Ph.D. Trainee, Computational Pathology
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund
Working on multimodal large language models and visual reasoning.
2024 – 2025
Visiting Ph.D. Student, Computer Vision
Tsinghua Shenzhen International Graduate School
Research training in computer vision and computational pathology during the doctoral period.
2021 – 2022

Education

Ph.D. in Computer Science and Technology
Harbin Institute of Technology, Shenzhen
Dissertation focused on computational pathology, nuclei instance segmentation, and cancer-related image analysis.
2021 – 2025
M.Sc. in Applied Statistics
Lanzhou University
Training in machine learning and deep learning, with a focus on graph neural networks and time-series prediction.
2018 – 2021
B.M. in Agricultural and Forestry Economics
Beijing Forestry University
Early training in economics and statistics, with exposure to data, systems thinking, and applied quantitative analysis.
2013 – 2017

Selected Publications

A selected list of representative publications in computational pathology, medical image analysis, and machine learning. For a complete publication record, please visit my Google Scholar.

Journal Articles
Conference Proceedings

Academic Reviewing

I have served as a reviewer for leading journals and conferences in medical imaging, computer vision, and machine learning.

Journals
MIA TMI JBHI TCSVT TIP KBS
Conferences
AAAI ICCV CVPR MICCAI ICML

Honors & Awards

🌍
China Scholarship Council (CSC) Scholarship
Awarded for international doctoral research support.
2024
🎓
First-class Graduate Scholarship
Harbin Institute of Technology and Lanzhou University.
2019–2025
🏆
Excellent Graduate of Gansu Province
Provincial honor in recognition of outstanding academic achievement.
2021
⭐
Outstanding Graduate Cadre
Lanzhou University.
2021
🎖️
AnShuo Scholarship
Recognized for excellent academic performance.
2020
📐
“Huawei Cup” Graduate Mathematical Modeling Competition
Awarded in a national-level mathematical modeling competition for three consecutive years.
2018-2021
💡
Huawei Scholarship
Awarded for academic excellence and research potential.
2017
📘
Second-class Academic Scholarship
Beijing Forestry University.
2015–2017

Projects

📁
Computational Pathology Imaging and Key Technologies
Principal Investigator
2024–2028
📁
AI Diagnosis System for Liver Diseases
Research Team Member
2021–2023
📁
Image Acquisition and Processing
Research Team Member
2020–2022
📁
Study on Changes in Northern Chinese Lakes
Research Team Member
2019–2024

Skills

🧠
Machine Learning
Deep learning, weakly/semi-supervised learning, multimodal learning, representation learning, vision-language modeling
🔬
Computational Pathology
Nuclei segmentation and classification, whole-slide image analysis, histopathological image understanding
🧬
Biomedical Data Science
Medical image analysis, multi-omics integration, statistical modeling, quantitative biomedical analysis
💻
Programming & Tools
Python, PyTorch, TensorFlow, Docker, MMDetection, QuPath

Contact

I warmly welcome collaborations and academic exchanges in computational pathology, biomedical image analysis, and multi-omics research.

You are welcome to connect with me via WeChat. When sending a friend request, please kindly include your name and institution in the message so that I can identify you more easily.

You may also reach me by email at zhangye_zoe@163.com.

WeChat contact card