Yanfeng Zhou

Yanfeng Zhou

Shenzhen University

中文主页

Yanfeng Zhou, Assistant Professor and Master Supervisor, Lab of Medical UltraSound Image Computing, School of Artificial Intelligence, Shenzhen University. He received his Ph.D. degree from the University of Chinese Academy of Sciences in 2025. His research interests is computer vision and biomedical image analysis. He has published 15 papers in top-tier conferences and journals, including CVPR, ICCV, ECCV, TMI, European Radiology, and BIBM, with 10 as the first author. He has filed 5 national invention patents and holds 4 granted patents. He served as a Program Committee member for BIBM 2024 and has been a regular reviewer for conferences such as CVPR, ICCV, and ECCV. He has received the Dean Scholarship of University of Chinese Academy of Sciences and twice been awarded the National Scholarship.

⭐⭐⭐I am actively recruiting students and have 2~3 Master’s positions available each year. For detailed information regarding admission requirements and training plans, please refer to here.

In addition, our lab director, Dr. Dong Ni, is also actively seeking research interns, Master’s and Ph.D. students, postdoctoral researchers, and faculty members. If you are interested in ultrasound image analysis, feel free to contact me (✉️zhouyanfeng2020@ia.ac.cn) for referral opportunities.

Get on board quickly

News

  • 2025.06: Congratulations to Yanfeng on the completion of his doctoral degree!
  • 2025.05: One paper is accepted by TMI. Congratulations to Yanfeng!
  • 2025.02: One paper is accepted by CVPR 2025. Congratulations to Yanfeng!

Research Interests

Computer Vision and Biomedical Image Analysis, Ultrasound Image Analysis

Experience

  • Jun. 2025 – Present Assistant Professor, School of Artificial Intelligence, Shenzhen University
  • Sep. 2020 – Jun. 2025 Doctor of Philosophy, School of Artificial Intelligence, University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences
  • Sep. 2016 – Jun. 2020 Bachelor of Engineering, School of Information Science and Engineering, Northeastern University

Fundings

Publications

  • Yanfeng Zhou, Lingrui Li, Le Lu, Minfeng Xu. nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF A) [paper] [code]
  • Yanfeng Zhou, Jiaheng Zhou, Zichen Wang, Ge Yang. SATO: Straighten Any 3D Tubular Object. IEEE Transactions on Medical Imaging, 2025. (CAS Q1 Top) [paper] [code]
  • Yanfeng Zhou, Lingrui Li, Chenlong Wang, Le Song, Ge Yang. GobletNet: Wavelet-Based High-Frequency Fusion Network for Semantic Segmentation of Electron Microscopy Images. IEEE Transactions on Medical Imaging, 2024. (CAS Q1 Top) [paper] [code]
  • Yanfeng Zhou, Jiaxing Huang, Chenlong Wang, Le Song, Ge Yang. XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. (CCF A) [paper] [code]
  • Yanfeng Zhou, Liqun Zhong, Zichen Wang, Ge Yang. A Semi-Supervised Fracture-Attention Model for Segmenting Tubular Objects with Improved Topological Connectivity. Bioinformatics, 2025. (CCF B) [paper] [code]
  • Yanfeng Zhou, Lingrui Li, Zichen Wang, Guole Liu, Ziwen Liu, Ge Yang. XNet v2: Fewer Limtations, Better Results and Greater Universality. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. (CCF B) [paper] [code]
  • Xian Xu, Yanfeng Zhou, Shasha Sun, et al. Risk prediction for elderly cognitive impairment by radiomic and morphological quantification analysis based on a cerebral MRA imaging cohort. *European Radiology, 2024. (CAS Q2 Top) [paper]
  • Yanfeng Zhou, Yiming Huang, Ge Yang. Spatial and Planar Consistency for Semi-Supervised Volumetric Medical Image Segmentation. The 34th British Machine Vision Conference (BMVC), 2023. (CCF C) [paper] [code]
  • Jiaxing Huang, Yanfeng Zhou, Yanru Luo, Guole Liu, Heng Guo, Ge Yang. Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures. European Conference on Computer Vision (ECCV), 2024. (CCF B) [paper] [code]
  • Lingrui Li, Yanfeng Zhou, Ge Yang. Robust Source-Free Domain Adaptation for Fundus Image Segmentation. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. (CCF C) [paper] [code]

Patents

  • 周岩峰，徐贤，杨戈，曹丰，崔龙彪，郭远昊，孙沙沙，蒋嘉诚，用于确定血管形态特征的方法、装置、设备和存储介质. 中国发明专利.（已授权）
  • 周岩峰，徐贤，杨戈，曹丰，崔龙彪，郭远昊，孙沙沙，蒋嘉诚，用于对管状物进行拉直的方法、装置、设备及存储介质. 中国发明专利.（已授权）
  • 周岩峰，徐贤，杨戈，曹丰，崔龙彪，郭远昊，孙沙沙，蒋嘉诚，计算机实施的确定管状物狭窄率的方法及其相关产品. 中国发明专利.（已授权）
  • 徐贤，周岩峰，杨戈，曹丰，崔龙彪，郭远昊，孙沙沙，蒋嘉诚，一种脑动脉定位提取方法、装置、电子设备及存储介质. 中国发明专利.（已授权）
  • 周岩峰，杨戈，王辰龙，李一凡，宋乐，电镜图像分割模型训练及互作分析方法、装置和设备. 中国发明专利.（已公开）

Students

  • ⭐⭐⭐ Actively looking for students:（✉️zhouyanfeng2020@ia.ac.cn）

    招生要求：

    • 有追求、有目标、头脑灵活、自律、活泼、肯吃苦、肯钻研问题
    • 对计算机视觉和生物医学影像分析感兴趣
    • 具备良好的英文写作和阅读能力
    • 具备一定的Python编程能力
    • 有计算机视觉或生物医学影像分析相关科研经历者加分（毕业设计、课外实习、发表论文）

    培养方式：

    • 培养计划：从学习观念、课程学习、科研工具、代码积累等方面订制全面的培养计划，帮助学生打好基础
    • 四个充足：依托医学超声影像计算实验室，经费充足，项目充足，GPU充足、劳务补贴充足
    • 日常指导：提供论文idea，不抢一作，鼓励学生发表高水平论文，定期组会和一对一指导
    • 代码编程：我有较强的编程能力和丰富的代码积累，帮助学生快速上手
    • 论文撰写：从实验布置到论文撰写再到论文修订，各个环节手把手指导

Get on board quickly

  • Supervised Master Students:

    Yangyang (Master 2024)

    Jingxian (Master 2024)

    Xinting (Master 2025)

    Jianfeng (Master 2025)

    Zhiyu (Master 2025)

    Shunan (Master 2025)

    Zhoaxue (Intern)

Academic Activities

  • Talk of MIGS2025 seminars
  • Reviewer of CVPR, ICCV, ECCV, BMVC, MICCAI
  • Program Committee Members of BIBM2024

Awards

  • Dean Scholarship of University of Chinese Academy of Sciences, 2025
  • Wang Shouwu Scholarship of University of Chinese Academy of Sciences, 2025
  • Dai Ruwei Second Prize Scholarship of University of Chinese Academy of Sciences, 2024
  • Outstanding Graduate of Liaoning Province, 2020
  • National Scholarship, 2019
  • National Scholarship, 2018