I am a fourth-year undergraduate student studying computer science and technology at Hangzhou Dianzi University where I am advised by Prof. Ruiquan Ge and Prof. Changmiao Wang. And I plan to pursue my master’s degree at the Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, and also with the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China, advised by Prof. Yikun Zhang specialized in Diffusion Model-Based CT Metal Artifact Reduction (MAR).
I have a broad interest in deep learning models, with a primary focus on medical image analysis. I am also an enthusiastic self-learner and interested in various fields of computer science. Currently, I am interning at Hikvision Research Institute, focusing on Deep Learning-Based 3D Depth From Focus for Extended Depth-of-Field Microscopy.
M.S. in Computer Science at School of Computer Science and Engineering
Southeast University, Sep 2025 - Jun 2028
B.E. in Computer Science and Technology at HDU-ITMO Joint Institute
Hangzhou Dianzi University, Sep 2021 - Jun 2025
Hikvision Research Institute, Hikvision
Research Intern, Nov 2024 - Present
We propose an end-to-end framework BS-LDM for suppressing bones in high-resolution CXR images, improving soft tissue clarity with advanced diffusion models and hybrid loss strategies. Its clinical value is validated using the SZCH-X-Rays and processed JSRT datasets.
We propose a new bone suppression framework called BS-Diff, which utilizes a conditional diffusion model and a U-Net architecture to generate high-quality soft tissue images with high bone suppression rates.