😊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

  • 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] GitHub Repo stars

  • arXiv'25 Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation

    Fenghe Tang, Qingsong yao, Wenxin Ma, Chenxu Wu, Zihang Jiang, S. Kevin Zhou. [paper] [code] GitHub Repo stars

  • 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] GitHub Repo stars

  • 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] GitHub Repo stars

Medical Image Segmentation

  • 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] GitHub Repo stars

  • ISBI'23 CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network

    Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding. [paper] [code] GitHub Repo stars

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

💬 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

🙌 Developed contribution