Scholar
Ye Zhang
Google Scholar ID: MhB6GCEAAAAJ
Harbin Institute of Tenchnology (Shenzhen)
Citations & Impact
Citations
74
H-index
6
i10-index
2
Publications
15
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- 1. Published paper 'SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation' in IEEE Journal of Biomedical and Health Informatics (2025)
- 2. Published paper 'The Four Color Theorem for Cell Instance Segmentation' at ICML 2025
- 3. Received Excellent Graduate Award from Gansu Province
Research Experience
- 1. Joint Ph.D. training at Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. (started September 2024)
- 2. Research projects mainly involve nuclei segmentation, cancer classification, and the development of multimodal AI models
Education
- 1. Joint Ph.D. Training in Computational Pathology at Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. (2024 – Present)
- 2. Ph.D. in Computer Science and Technology at Harbin Institute of Technology, Shenzhen (2021 – Present), advisor not specified
- 3. M.Sc. in Applied Statistics at Lanzhou University (2018 – 2021)
- 4. B.Sc. in Agricultural and Forestry Economics at Beijing Forestry University (2013 – 2017)
Background
- Ph.D. Candidate in Computational Pathology, focusing on nuclei segmentation, cancer classification, and the development of interpretable multimodal AI models. Aiming to integrate histopathological images with genomic, transcriptomic, and spatial omics data for advanced multimodal models in cancer diagnosis, prognosis, and precision therapy. Particularly interested in molecular and systems medicine, using cross-modal reasoning to uncover tumor heterogeneity and enhance clinical outcomes.
Miscellany
- Actively seeking postdoctoral positions in medical image analysis and is open to relevant collaboration opportunities
