😊About Me

  • I am a PhD student at the University of Science and Technology of China (USTC) supervised by Prof. S. Kevin Zhou. I focus on self-supervised learning, foundation model, 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 top conferences and journals with citations citations
  • Hobbies: 🎞️🏀🀄🃏🍔

🔥 News

Find collaborators on foundation model & medical image segmentation, feel free to contact me at fhtan9@mail.ustc.edu.cn 😎🥰🤗🤗🤗

  • 2025.07:  One paper accepted to ACM MM-25.
  • 2025.06:  Three papers accepted to MICCAI-25.
  • 2025.04:  One paper accepted to npj Digital Medicine.
  • 2025.04:  One paper accepted to Nature Communications.
  • 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 💪

  • citations MambaMIM: Pre-training Mamba with State Space Token-interpolation and its Application to Medical Image Segmentation

    Fenghe Tang*, Bingkun Nian*, Yingtai Li*, Jie Yang, Wei Liu, S. Kevin Zhou. [paper] [code] GitHub Repo stars

  • citations 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

  • citations 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

  • citations 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 🫀🫁🧠

  • citations Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation

    Fenghe Tang, Bingkun Nian, Jianrui Ding, Wenxin Ma, Quan Quan, Chengqi Dong, Jie Yang, Wei Liu, S. Kevin Zhou.

  • citations Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

    Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou. [paper] [code] GitHub Repo stars

  • citations 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

  • citations 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

  • citations Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

    Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, Qingpeng Kong, Jianrui Ding, Chunping Ning, S. Kevin Zhou. [paper] [code] img

AI4S 🧐

  • citations Deep generalizable prediction of RNA secondary structure via base pair motif energy

    Heqin Zhu, Fenghe Tang, Quan Quan, Ke Chen, Peng Xiong, S. Kevin Zhou. [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
  • ACM International Conference on Multimedia (ACM MM), 2025
  • International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024-2025

Teaching Assistant:

  • 2024 Fall, USTC, Medical Image Computing (BMED6208P.01_152261)

💻 Internships

🙌 Developed contribution