😊About Me
- I am a PhD student of the University of Science and Technology of China (USTC) supervised by Prof. S. Kevin Zhou. And I focus on Self-supervised Learning, LVM, Medical Image Analysis, Computer Vision, and Pattern Recognition. I received my bachelor’s and master’s degrees from Harbin Institute of Technology (HIT) in 2021 and 2023, respectively. My master’s tutor is Prof. Jianrui Ding. I have published 20+ papers at the conferences and journals with citations
- Hobbies: 🎞️🏀🀄🃏🍔
🔥 News
- 2025.04: One paper accepted to Medical Image Analysis.
- 2025.03: One paper accepted to MIDL-25.
- 2025.03: One paper accepted to CVPR-25.
- 2024.06: One paper accepted to MICCAI-24.
- 2024.05: One paper accepted to MICCAI-24 (Early Accept, Top 11 %).
- 2024.04: One paper accepted to MIDL-24 (Oral, Best Oral Paper Finalists).
- 2024.02: One paper accepted to ISBI-24 (Oral).
📝 Selected publications
Self-supervised learning & Foundation model
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MIA'25
MambaMIM: Pre-training Mamba with State Space Token-interpolation (Medical Image Analysis)Fenghe Tang*, Bingkun Nian*, Yingtai Li*, Jie Yang, Wei Liu, S. Kevin Zhou. [paper] [code]
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arXiv'25
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentationFenghe Tang, Qingsong yao, Wenxin Ma, Chenxu Wu, Zihang Jiang, S. Kevin Zhou. [paper] [code]
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MICCAI'24
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training (Early Accept)Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou. [pape] [code]
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MIDL'24
Slide-SAM: Medical SAM Meets Sliding Window (Oral, Best Oral Paper Finalists)Quan Quan*, Fenghe Tang*, Zikang Xu, Heqin Zhu, S. Kevin Zhou. [paper] [code]
Medical Image Segmentation
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ISBI'24
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion (Oral)Fenghe Tang, Jianrui Ding, Quan Quan, Lingtao Wang, Chunping Ning, S. Kevin Zhou. [paper] [code]
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ISBI'23
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation NetworkFenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding. [paper] [code]
More publications are available at: Google Scholar
🏅 Honors and Awards
- Suzhou Industrial Park Scholarship, University of Science and Technology of China, 2024
- Outstanding Master’s Theses, Harbin Institute of Technology, 2023
- National Scholarship for Postgraduates, Chinese Ministry of Education, 2023
- Outstanding Graduate Reward, Harbin Institute of Technology, 2023
- Excellent Developer of Mindspore , HUAWEI, 2022
- Outstanding Graduate Reward, Shandong Province, 2021
- The Grand Prize of CANN, HUAWEI, 2021
📖 Educations
- 2023.09 - (now), Ph.D of Electronic Information, School of BME, University of Science and Technology of China.
- 2021.09 - 2023.06, Master of Computer Technology, School of Computer Science and Technology, Harbin Institute of Technology.
- 2017.09 - 2021.06, Bachelor of Software Engineering, School of Computer Science and Technology, Harbin Institute of Technology.
💬 Professional Services
Conference Reviewers:
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024-2025
💻 Internships
- 2021.04 - 2022.04, HUAWEI, Ascend, Mindspore developer.