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研究会不断修正答案，也不断修正提问的方式。

个人

杨利建

计算机视觉 · 医学影像

计算机科学与技术博士，关注医学影像智能分析与计算成像， 也持续记录技术如何被理解、实现和表达。

研究与实践

研究围绕三维医学影像配准、多模态图像融合、图像重建与压缩感知展开， 实践从优化建模与模型训练延伸至实验验证、三维可视化和算法系统集成。

观察与品味

我喜欢探索技术，也乐于接触不同领域的作品。无论是一种方法、一件工具， 还是文字与视觉表达，我都愿意先理解它如何成立，再寻找其中值得欣赏和反复品味的部分。

论文

发表与录用

14 篇 ·Google Scholar ↗
  1. [1]

    Lijian Yang, Weisheng Li, Yucheng Shu, Feiyan Li, Mengru Feng, and Guoqing Ge, “DCTIRN: A Pyramid Network with Spectral Interpolation for Deformable Image Registration,” 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.

  2. [2]

    Lijian Yang, Guofen Wang, Yuping Huang, Dan He, Weisheng Li, Yucheng Shu, and Mengru Feng, “DCFusion: Dynamic Continuous Fusion of Medical Images Based on Intensity-Varying Flow,” 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.

  3. [3]

    Dan He, Lijian Yang, Guofen Wang, Yuping Huang, Yucheng Shu, and Weisheng Li, “LTOFusion: A Learning-to-Optimize Framework with Flow Matching for Unsupervised Image Fusion,” IEEE Transactions on Image Processing, vol. 35, pp. 2857–2872, 2026.

    Code
  4. [4]

    Dan He, Guofen Wang, Weisheng Li, Yucheng Shu, Wenbo Li, Lijian Yang, Yuping Huang, and Feiyan Li, “Rethinking Normalization Strategies and Convolutional Kernels for Multimodal Image Fusion,” Pattern Recognition, vol. 173, Art. no. 112903, 2026.

  5. [5]

    Xiaoyu Qiao, Weisheng Li, Bin Xiao, Yuping Huang, and Lijian Yang, “Score-Based Generative Priors-Guided Model-Driven Network for MRI Reconstruction,” Biomedical Signal Processing and Control, vol. 105, Art. no. 107564, 2025.

    PDF
  6. [6]

    Lijian Yang, Weisheng Li, Yucheng Shu, Jianxun Mi, Guofen Wang, Feiyan Li, and Bin Xiao, “Rethinking the CNN and Transformer for Deformable Image Registration,” Expert Systems with Applications, vol. 281, Art. no. 127499, 2025.

  7. [7]

    Lijian Yang, Jianxun Mi, Weisheng Li, Guofen Wang, and Bin Xiao, “Improving the Sparse Coding Model via Hybrid Gaussian Priors,” Pattern Recognition, vol. 159, Art. no. 111102, 2025.

    Code
  8. [8]

    Le Gao, Yucheng Shu, Lihong Qiao, Lijian Yang, Bin Xiao, Weisheng Li, and Xinbo Gao, “DGMIR: Dual-Guided Multimodal Medical Image Registration Based on Multi-View Augmentation and On-Site Modality Removal,” Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.

  9. [9]

    Xiaoyu Qiao, Weisheng Li, Bin Xiao, Yuping Huang, and Lijian Yang, “Subsampling Decomposition Based k-Space Refinement for Accelerated MRI Reconstruction,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, 2025.

  10. [10]

    Xiaoyu Qiao, Weisheng Li, Bin Xiao, Yuping Huang, and Lijian Yang, “Stacking U-Nets in U-Shape: Redesigning the Information Flow in Model-Based Networks for MRI Reconstruction,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 10231–10235, 2025.

  11. [11]

    Xiaoyu Qiao, Weisheng Li, Bin Xiao, Yuping Huang, and Lijian Yang, “Learning Preconditioners in Gates-Controlled Deep Unfolding Networks Based on Quasi-Newton Methods for Accelerated MRI Reconstruction,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, 2025.

  12. [12]

    Lijian Yang, Weisheng Li, Yucheng Shu, Jianxun Mi, Yuping Huang, and Bin Xiao, “ShiftMorph: A Fast and Robust Convolutional Neural Network for 3D Deformable Medical Image Registration,” Proceedings of the 32nd ACM International Conference on Multimedia, pp. 2814–2823, 2024.

    PDFCodeDemo
  13. [13]

    Lijian Yang, Jian-Xun Mi, Guofen Wang, and Weisheng Li, “Window-Based Convolutional Sparse Coding: Towards a Unified Framework,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2755–2759, 2024.

  14. [14]

    Jian-Xun Mi, Lijian Yang, Lifang Zhou, Yueru Sun, and Heng Kong, “Symmetrical Feature Extraction via Novel Mirror PCA,” Neurocomputing, vol. 452, pp. 690–704, 2021.