Scholar
Guangze Shi
Google Scholar ID: tyd17xEAAAAJ
Taiyuan University of Technology
Citations & Impact
Citations
18
H-index
3
i10-index
0
Publications
6
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publications:
- 1. Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Weixia Han, Min Lei, Ming Li, Xiaoshuang Zhou, Yongfei Wu*, Chen Wang, Wen Zheng. Segment Any Tissue: One-Shot Reference Guided Training-Free Automatic Point Prompting for Medical Image Segmentation (MedIA), 2025. (SCI Q1-TOP)
- 2. Xueyu Liu, Rui Wang, Yexin Lai, Guangze Shi, Feixue Shao, Fang Hao, Jianan Zhang, Jia Shen, Yongfei Wu*, Wen Zheng. Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater. Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF A)
- 3. Zihao Mi, Xueyu Liu, Jianan Zhang, Guangze Shi, Yidi Li Yongfei Wu*. Multi-instance Curriculum Learning for Histopathology Image Classifications with Hard Negative Mining and Positive Augmentation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. (CCF B)
- 4. Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Lele Sun, Quan Yang, Yongfei Wu*, MIng Li, Weixia Han, Wen Zheng. Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024. (CCF B)
- 5. Xueyu Liu, Ming Li, Yongfei Wu*, Yilin Chen, Fang Hao, Daoxiang Zhou, Chen Wang, Chuanfeng Ma, Guangze Shi, Xiaoshuang Zhou. An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method. AI Communications, 2022. (SCI Q4)
- - Awards: 12th “Challenge Cup” China College Students Entrepreneurship Competition, 2020, National Second Prize
Research Experience
- - Ph.D. candidate, College of Computer Science and Technology, Taiyuan University of Technology, 2024.09 - Present
Education
- - Ph.D. candidate, College of Computer Science and Technology, Taiyuan University of Technology, 2024.09 - Present, Advisor: Professor Mingqiang Wei
- - Master's degree, Big Data Technology and Engineering, Taiyuan University of Technology, 2013.09 - 2024.07
- - Bachelor's degree, Software Engineering, Taiyuan University of Technology, 2018.09 - 2022.07
Background
- - Research Interests: Computer vision and medical data analytics
- - Specialties: Foundation models, domain generalization, pathological image analysis, multimodal data analysis
Co-authors