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 research focuses on integrative AI modeling of
multi-omics and computational pathology data to characterize
tumor heterogeneity, reveal phenotype-associated molecular patterns,
and support interpretable cancer diagnosis.
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. 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
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March 2026
Join The Chinese University of Hong Kong as a
Postdoctoral Fellow in the Department of Statistics and Data Science.
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January 2026
Successfully defended my Ph.D. dissertation and obtained a Ph.D. in Engineering.
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May 2025
Paper βThe Four Color Theorem for Cell Instance Segmentationβ accepted at
ICML 2025.
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π©πͺ
September 2024
Began joint Ph.D. training at
Leibniz-Institut fΓΌr Analytische Wissenschaften β ISAS β 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 β Present
Joint Ph.D. Trainee, Computational Pathology
Leibniz-Institut fΓΌr Analytische Wissenschaften β ISAS β e.V., Dortmund
Working on multimodal large language models and visual reasoning.
2024 β 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 β 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 β 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 β 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 β 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.
Ye Zhang, Cai L, Wang Z, et al.
IEEE Journal of Biomedical and Health Informatics
JBHI
2025
Ye Zhang, Wang Y, Fang Z, et al.
IEEE Transactions on Circuits and Systems for Video Technology
TCSVT
2024
Cai L, Huang S, Ye Zhang, et al.
Medical Image Analysis
MIA
2025
Ye Zhang, Zhou Y, Wang Y, et al.
International Conference on Machine Learning
ICML
2025
Ye Zhang, Fang Z, Wang Y, et al.
AAAI Conference on Artificial Intelligence
AAAI
2025
Guan X, Zhang Z, Ye Zhang, et al.
AAAI Conference on Artificial Intelligence
AAAI
2025
Zhang L, Sun B, Ye Zhang, et al.
ACM Multimedia
ACM MM
2025
Oral
Ye Zhang, Wang Z, Wang Y, et al.
Medical Imaging with Deep Learning
MIDL
2024
Oral
Wang Z, Ye Zhang, Cai L, et al.
International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI
2024
Fang Z, Wang Y, Ye Zhang, et al.
IEEE International Conference on Bioinformatics and Biomedicine
BIBM
2024
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
ICML
NeurIPS
AAAI
ICCV
CVPR
MICCAI
Honors & Awards
π
China Scholarship Council (CSC) Scholarship
Awarded for international doctoral research support.
2024
π
First-class Graduate Scholarship
Harbin Institute of Technology and Lanzhou University.
2019β2025
π
Excellent Graduate of Gansu Province
Provincial honor in recognition of outstanding academic achievement.
2021
β
Outstanding Graduate Cadre
Lanzhou University.
2021
ποΈ
AnShuo Scholarship
Recognized for excellent academic performance.
2020
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βHuawei Cupβ Graduate Mathematical Modeling Competition
Awarded in a national-level mathematical modeling competition for three consecutive years.
2018-2021
π‘
Huawei Scholarship
Awarded for academic excellence and research potential.
2017
π
Second-class Academic Scholarship
Beijing Forestry University.
2015β2017
Projects
π
Computational Pathology Imaging and Key Technologies
Principal Investigator
2024β2028
π
AI Diagnosis System for Liver Diseases
Research Team Member
2021β2023
π
Image Acquisition and Processing
Research Team Member
2020β2022
π
Study on Changes in Northern Chinese Lakes
Research Team Member
2019β2024
Skills
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Machine Learning
Deep learning, weakly/semi-supervised learning, multimodal learning, representation learning, vision-language modeling
π¬
Computational Pathology
Nuclei segmentation and classification, whole-slide image analysis, histopathological image understanding
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Biomedical Data Science
Medical image analysis, multi-omics integration, statistical modeling, quantitative biomedical analysis
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Programming & Tools
Python, PyTorch, TensorFlow, Docker, MMDetection, QuPath
