About me

Hello, my name is Luyang Cao. I am currently a Ph.D. candidate at Nanjing University, also a member of the Reasoning & Learning Group, conducting research under the guidance of Professor Yinghuan Shi. My academic work primarily focuses on medical image computing, with specific interests in three interrelated areas: medical image restoration (enhancing low-quality clinical data), medical image analysis (developing diagnostic algorithms for disease detection), and semi-supervised learning (leveraging limited labeled data for robust model training).

💬 Current Research Topics

• Large-Scale Models for Medical Image Restoration
• Semi-supervised Medical Image Segmentation
• Medical Image Analysis

📖 Educations

• 2024.09 - now, The State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China
• 2021.09 - 2024.06, The College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian, China
• 2017.09 - 2021.06, The College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian, China

🔥 News

• 2025.05:  🎉🎉 One paper is accepted by IEEE Transactions on Image Processing (TIP)

📝 Publications

TIP 2025

Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation

Luyang Cao, Jianwei Li, Yinghuan Shi

Code

• Current semi-supervised medical image segmentation methods primarily focus on foreground modeling while overlooking the potential of background modeling. We demonstrate that reliable background modeling predictions enhance the confidence of foreground modeling. Building on this insight, we propose a Cross-view Bidirectional Modeling (CVBM) framework for semi-supervised medical image segmentation—the first work to integrate background modeling as an auxiliary view to enhance foreground modeling.

🎖 Honors and Awards

• 2022.12 National Scholarship for Master’s Students.