About Me

I am a Ph.D. Candidate in Computational Pathology at Harbin Institute of Technology, Shenzhen, and a joint training student at Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. My research focuses on nuclei segmentation, cancer classification, and the development of interpretable multimodal AI models.

For my postdoctoral research, I aim to integrate histopathological images with genomic, transcriptomic, and spatial omics data to build advanced multimodal models for cancer diagnosis, prognosis, and precision therapy. I'm particularly interested in expanding into molecular and systems medicine, using cross-modal reasoning to uncover tumor heterogeneity and enhance clinical outcomes.

💌 If you are aware of any relevant opportunities or collaborations, I would be delighted to hear from you.

News

  • 🔥
    Spring 2026
    Actively seeking postdoctoral positions in medical image analysis.
    If you're interested in collaboration, feel free to reach out!
  • 🎉
    May 2025
    Paper “Four-color Theorem for Cell Instance Segmentation” accepted at International Conference on Machine Learning (ICML 2025).
  • 🎉
    Apr. 2025
    Paper “SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation” accepted at IEEE Journal of Biomedical and Health Informatics (JBHI).
  • 🇩🇪
    Sep. 2024
    Began joint Ph.D. training at Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V..

Education

🎓
Joint Ph.D. Training in Computational Pathology
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
2024 – Present
🎓
Ph.D. in Computer Science and Technology
Harbin Institute of Technology, Shenzhen
2021 – Present
🎓
M.Sc. in Applied Statistics
Lanzhou University
2018 – 2021
🎓
B.Sc. in Agricultural and Forestry Economics
Beijing Forestry University
2013 – 2017

Publications

📘 Journal Papers

Zhang Y, Cai L, Wang Z, et al. SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation . IEEE Journal of Biomedical and Health Informatics (JBHI), 2025.
Zhang Y, Wang Y, Fang Z, et al. DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation . IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
Cai L, Huang S, Zhang Y, et al. Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Image Classification . Medical Image Analysis (MIA), 2025.

📗 Conference Papers

Zhang Y, Zhou Y, Wang Y, et al. The Four Color Theorem for Cell Instance Segmentation . ICML 2025.
Zhang Y, Fang Z, Wang Y, et al. Category Prompt Mamba Network for Nuclei Segmentation and Classification . AAAI 2025.
Guan X, Zhang Z, Zhang Y, et al. OT-StainNet: Optimal Transport-Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer . AAAI 2025.
Zhang Y, Guan X, Li H, et al. Multi-Scale Context Intertwining for Panoramic Renal Pathology Segmentation . ICASSP 2025.
Guan X, Zhang Z, Zhang Y, et al. Correlated Multiple IHC Virtual Staining for Breast Histopathological Images . ICASSP 2025.
Zhang L, Zhang Y, Cai L, et al. Relation-Aware Graph Attention Network for Nuclei Classification . ICME 2025 (Oral).
Zhang Y, Wang Z, Wang Y, et al. Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation . MIDL 2024 (Oral).
Wang Z, Zhang Y, Cai L, et al. Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation . MICCAI 2024.
Fang Z, Wang Y, Zhang Y, et al. Mammil: Multiple Instances Learning for Whole Slide Images with State Space Models . BIBM 2024.

📄 Under Review

Zhang Y, Zhou Y, Wang H, et al. PathMR: A Fragmentation-Resilient Multimodal Visual Reasoning for Interpretable Pathology Diagnosis. Submitted to ICCV.

Awards

🏆
Excellent Graduate Award
Gansu Province, for academic excellence
2021
🎓
Huawei Scholarship
Awarded for outstanding performance and research potential
2020
🎖️
AnShuo Scholarship
Recognized for excellent academic achievements
2019
📐
Third Prize – Huawei Cup Graduate Mathematical Modeling Competition
National-level competition in modeling and optimization
2018

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

🧠
Deep Learning
PyTorch, MMDetection, MONAI
💻
Programming
Python, TensorFlow
🧬
Medical Imaging Tools
QuPath, ImageJ

Contact

📬 I’m always happy to connect. Feel free to email me or reach out at conferences and academic events.