😉 About Me

I recently graduated with a Bachelor’s degree in Computer Science and Technology from Hangzhou Dianzi University where I was advised by Prof. Ruiquan Ge and Prof. Changmiao Wang. Starting in September 2025, I will 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 Deep Learning-Based CT Metal Artifact Reduction (MAR).

I have a broad interest in deep learning models, with a primary focus on Medical Image Analysis and Generative AI Models. I am also an enthusiastic self-learner and interested in various fields of computer science.

📫 How to contact me: 220252325@seu.edu.cn.

GitHub User's stars GitHub followers

sym
sym
sym
sym
sym
sym

📖 Educations

  • 2021.09 - 2025.06, Undergraduate student (Double Degree): Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China
  • 2021.09 - 2025.06, Undergraduate student (Double Degree): Informatics and Computer Engineering, ITMO University, Saint Petersburg, Russia
  • 2025.09 - 2028.06, Master student: Computer Science and Technology, Southeast University, Nanjing, China

💻 Internships

🔥 News

🏅 Honors

  • 2021-2025: The Bachelor of Engineering degree upon graduation from Hangzhou Dianzi University.
  • 2021-2025: The Bachelor of Informatics and Computer Engineering degree With Honors upon graduation from ITMO University (Top 0.3%)
  • 2024-2025: Outstanding Graduation Thesis of Hangzhou Dianzi University (Top 0.2%)
  • 2024-2025: Zhejiang Provincial Outstanding Graduate (Top 0.3%)
  • 2023-2024: National Scholarship (Top 0.4%)
  • 2023-2024: Top 10 Students of HDU-ITMO Joint Institute (Top 1.25%)
  • 2022-2023: Zhejiang Provincial Government Scholarship (Top 3%)
  • 2021-2022: Zhejiang Provincial Government Scholarship (Top 3%)

💰 Funding

  • 2025: HDU-ITMO Joint Institute Student Science and Technology Innovation Project (Key Member), 💰CNY 3,000.
  • 2024: National Undergraduate Innovation and Entrepreneurship Training Program (Key Member), 💰CNY 10,000.
  • 2024: Zhejiang Provincial Undergraduate Scientific and Technological Innovation Activities Program (Key Member), 💰CNY 10,000.

💡 Publications

Please visit my Google Scholar page for full publications.

MICCAI 2025
sym

GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

Yifei Sun, Zhanghao Chen, Hao Zheng, Yuqing Lu, Lixin Duan, Fenglei Fan, Ahmed Elazab, Xiang Wan, Changmiao Wang†, Ruiquan Ge†

IEEE J-BHI 2025
sym

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models

Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge†

IEEE ISBI 2024 (Oral)
sym

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images

Zhanghao Chen, Yifei Sun, Wenjian Qin, Ruiquan Ge†, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang†

IEEE J-BHI 2024
sym

UWAFA-GAN: ultra-wide-angle fluorescein angiography transformation via multi-scale generation and registration enhancement

Ruiquan Ge, Zhaojie Fang, Pengxue Wei, Zhanghao Chen, Hongyang Jiang, Ahmed Elazab, Wangting Li, Xiang Wan, Shaochong Zhang, Changmiao Wang†

MICCAI 2023
sym

Uwat-gan: Fundus fluorescein angiography synthesis via ultra-wide-angle transformation multi-scale gan

Zhaojie Fang, Zhanghao Chen, Pengxue Wei, Wangting Li, Shaochong Zhang, Ahmed Elazab, Gangyong Jia, Ruiquan Ge†, Changmiao Wang†

ICSIP 2023
sym

RTUNet++: Assessment of Osteosarcoma MRI Image Segmentation leveraging Hybrid CNN-Transformer Approach with Dense Skip Connection

Binfeng Zou, Yifei Chen, Zhanghao Chen, Yifei Sun, Yifan Huang, Feiwei Qin†, Changmiao Wang

🧑🏻‍💻 Software

2024.11
sym

🔬 Patent

一种基于条件扩散模型的胸部X光图像骨抑制方法(发明公布)

基于多尺度条件生成对抗网络荧光血管造影图像生成方法(发明公布)

一种基于GL-LCM模型的高分辨率胸部X光图像骨抑制方法(发明公布)

一种基于BS-LDM模型的高分辨率胸部X光图像骨抑制方法(发明公布)

基于不完整三模态共注意融合的轻度认知障碍转换预测方法(发明公布)

🤝 Collaborator

Yifei Sun in Hangzhou Dianzi University

Yifei Chen in Tsinghua University

Yikun Zhang in Southeast University

Zhaojie Fang in The Chinese University of Hong Kong, Shenzhen

Ruiquan Ge in Hangzhou Dianzi University

Changmiao Wang in Shenzhen Research Institute of Big Data