About Me

I am a junior undergraduate student majoring in computer science.

I was advised by Prof. Feiwei Qin（秦飞巍） from School of Computer Science, Hangzhou Dianzi University and Prof. Changmiao Wang（王昌淼） from Medical Big Data Lab, Shenzhen Research Institute of Big Data.

At present, I am researching medical imaging, mainly focusing on: knowledge distillation and medical large models.

I have published articles in JBHI, ISBI, ICASSP, and served as the reviewer of JBHI, T-ITS. The specific articles can be found on my Google Scholar home page. I hope I can make unremitting efforts in scientific research and share with you.

📖 Educations

• 2022.09 - 2026.06, Undergraduate student: Computer Science of Technology, Hangzhou Dianzi University, Hangzhou, China.

🔥 News

• 2025.01.03: 🎉🎉 Our paper has been accepted by ISBI 2025 (Oral Presentation)!
• 2024.12.24: 🎉🎉 Our paper has been accepted by ISMRM 2025 Workshop on 40 Years of Diffusion!
• 2024.12.21: 🎉🎉 Our paper has been accepted by ICASSP 2025!
• 2024.12.21: 🎉🎉 Won Zhejiang Provincial Government Scholarship!
• 2024.10.08: 🎉🎉 Our paper has been accepted by JBHI (Referenced by KAN2.0)!
• 2024.08.08: 🎉🎉 Won National First Prize in China Students Service Outsourcingnnovation and Entrepreneurship Competition! （Among the 8801 participating teams in China, 0.34%）
• 2024.07.18: 🎉🎉 Won National Second Prize in Chinese Collegiate Computing Competition!

📝 Papers

Selected JOURNAL PAPERS [Full list is available in Google Scholar]

• Sckansformer: Fine-grained classification of bone marrow cells via kansformer backbone and hierarchical attention mechanisms, Yifei Chen^✝, Zhu Zhu^{✝, *}, Shenghao Zhu, Linwei Qiu, Binfeng Zou, Fan Jia, Yunpeng Zhu, Chenyan Zhang, Zhaojie Fang, Feiwei Qin^*, Jin Fan, Changmiao Wang, Gang Yu, Yu Gao, IEEE Journal of Biomedical and Health Informatics 2024

• GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI, Zhaojie Fang^✝, Shenghao Zhu^✝, Yifei Chen^✝, Binfeng Zou, Fan Jia, Linwei Qiu, Chang Liu, Yiyu Huang, Xiang Feng, Feiwei Qin^*, Changmiao Wang, Yeru Wang, Jin Fan, Changbiao Chu, Wan-Zhen Wu, Hu Zhao, Under Review

• TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling, Ruiquan Ge^*, Xiao Yu^*, Yifei Chen^*, Fan Jia, Shenghao Zhu, Guanyu Zhou, Yiyu Huang, Chenyan Zhang, Dong Zeng, Changmiao Wang, Qiegen Liu, Shanzhou Niu, Under Review

Selected CONFERENCE PAPERS [Full list is available in Google Scholar]

• (Oral) XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder, Shenghao Zhu, Yifei Chen, Shuo Jiang, Weihong Chen, Chang Liu, Yuanhan Wang, Xu Chen, Yifan Ke, Feiwei Qin^*, Changmiao Wang, Zhu Zhu^*, ISBI 2025

• Toward Robust Early Detection of Alzheimer’s Disease via an Integrated Multimodal Learning Approach, Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin^*, Jin Fan, Yong Peng, Changmiao Wang, ICASSP 2025

Selected CONFERENCE ABSTRACTS [Full list is available in Google Scholar]

• DiffKAN3D: Efficient and Accurate 3D Diffusion MRI Parameter Estimation for Real-Time Clinical Applications, Yifei Chen, Zihan Li, Shenghao Zhu, Ziyu Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Qiyuan Tian^*, ISMRM 2025 Workshop on 40 Years of Diffusion

💰 Funding

Undergraduate [Selected]

• 2024 National Undergraduate Innovation and Entrepreneurship Training Program (Project Lead)

💬 Academic Services

• Journal Reviewers of: JBHI, T-ITS.