Qing Wu

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I am Qing Wu (吴晴 in Chinese), a final-year Ph.D. student in SMILE:smile: LAB at ShanghaiTech University, advised by Prof. Yuyao Zhang. Before that, I received my B.E. degree at China University of Geosciences, Wuhan in 2020.

I am interested in varying topics related to inverse imaging problems. Currently, my research is focused on:

  • CT/MRI Undersampled Reconstruction
  • MRI Motion Correction
  • CT Acqusition Self-Calaribation
  • Quantitative CT (e.g., Material Decomposition)

See more in the detailed CV.

News

Feb 11, 2025 Our work (Moner) on motion correction in radial MRI was selected for a spotlight (5.1%) at ICLR 2025 💥
Jan 23, 2025 One paper was accepted by 13th International Conference on Learning Representations (ICLR 2025) :tada:
Dec 10, 2024 One paper was accepted by 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) :tada:
May 14, 2024 One paper was early accepted by 27th Medical Image Computing and Computer Assisted Intervention (MICCAI 2024) :tada:
Dec 13, 2023 One paper was accepted by IEEE Transactions on Medical Imaging (IEEE TMI) :tada:
Dec 10, 2023 I attended NeurIPS 2023 held in New Orleans, Louisiana, USA. It was a wonderful trip! :rainbow:
Sep 22, 2023 One paper was accepted by 37th Conference on Neural Information Processing Systems (NeurIPS 2023) :tada:
May 24, 2023 One paper was accepted by IEEE Transactions on Computational Imaging (IEEE TCI) :tada:
Mar 31, 2023 One paper was accepted by Human Brain Mapping :tada:
Jan 24, 2023 Three papers were accepted by 20th IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2023) :tada:

Selected Publications

* denotes co-first authors

  1. Preprint

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    Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT
    Qing Wu, Hongjiang Wei, Jingyi Yu, and Yuyao Zhang
    arXiv preprint arXiv:2412.05853
    PDF
  2. ICLR 2025 Spotlight

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    Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
    Qing Wu*, Chenhe Du*, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, and Hongjiang Wei
    International Conference on Learning Representations 2025
    PDF Code
  3. NeurIPS 2023

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    Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
    Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, and Yuyao Zhang
    Advances in Neural Information Processing Systems 2023
    PDF Code
  4. IEEE TCI 2023

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    Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
    Qing Wu, Ruimin Feng, Hongjiang Wei, Jingyi Yu, and Yuyao Zhang
    IEEE Transactions on Computational Imaging
    PDF Code