Yong Chen

Yong Chen

PhD student at Sichuan University

Biography

I am a PhD candidate at West China Hospital, Sichuan University, under the supervision of Prof. Kang Li, and a research intern at Ant Group, under the supervision of Prof. Le Lu. I received both my bachelor’s degree in 2021 and my master’s degree in 2024 from South-Central Minzu University. My research interests include medical image analysis, foundation models for image segmentation, and active domain adaptation. In particular, I aim to develop robust and data-efficient machine learning methods that address limited annotations, cross-institutional distribution shifts, and variability in real-world clinical settings.

Awards

  • National Scholarship, 2023
  • First-Class Academic Scholarship, 2022/2023
  • Second-Class Academic Scholarship, 2021

Selected Publications (# Equal contribution)

  • Informativeness-Driven Active Adaptation of SAM: Structural Prompts and Contrastive Parameter Selection for Medical Tubular Segmentation
    Yong Chen, Renyi Chen, Qingbo Kang, Rui Wang, He Lyu, Zekun Jiang, Hongqiu Wang, Huan Song, Kang Li
    Medical Image Analysis (2026, IF=14.0).

  • Source-Free Active Domain Adaptation via Influential-Points-Guided Progressive Teacher for Medical Image Segmentation
    Yong Chen, Xiangde Luo, Renyi Chen, Yiyue Li, Han Zhang, He Lyu, Huan Song, Kang Li
    IEEE Transactions on Medical Imaging (2026, IF=12.4).

  • Complementary fusion network of scaling attention and global attention for volumetric medical image segmentation
    Yong Chen#, Xuesong Lu#, Hong Chen, Tong Chen, Qinlan Xie
    Medical physics (2026, IF=3.2).

  • SSCFormer: revisiting ConvNet-transformer hybrid framework from scale-wise and spatial-channel-aware perspectives for volumetric medical image segmentation
    Qinlan Xie#, Yong Chen#, Shenglin Liu, Xuesong Lu
    IEEE Journal of Biomedical and Health Informatics (2024, IF=7.7).

  • Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation
    Yong Chen, Xuesong Lu, Qinlan Xie
    Computers in Biology and Medicine (2023, IF=7.7).

  • ATFormer: Advanced transformer for medical image segmentation
    Yong Chen, Xuesong Lu, Qinlan Xie
    Biomedical Signal Processing and Control (2023, IF=5.1).