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Guangshun Wei 魏广顺

Ph.D., Researcher

guangshunwei@gmail.com

I am a postdoctoral fellow at the University of Hong Kong. I received his B.Sc. degree in computer science and Technology from College of Information Science and Engineering, University of Jinan, in 2017. I received a Ph.D. from the School of Software, Shandong University, Jinan, China, in 2022. My current research interests include machine learning, image processing, and geometric analysis.

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News



  • One paper was accepted by IEEE TVCG 2024.
  • Two papers was accepted by GMP 2024.
  • One paper was accepted by AAAI 2024.
  • Publications


    Design and Optimization of Self-Supporting Surfaces with Arch Beams
    IEEE Transactions on Visualization and Computer Graphics 2024
    Collaborative tooth motion diffusion model in digital orthodontics
    AAAI 2024
    iPUNet: Iterative Cross Field Guided Point Cloud Upsampling
    IEEE Transactions on Visualization and Computer Graphics 2023
    Robust Hybrid Learning for Automatic Teeth Segmentation and Labeling on 3D Dental Models
    IEEE Transactions on Multimedia 2023
    Tooth Alignment Network Based on Landmark Constraints and Hierarchical Graph Structure
    IEEE Transactions on Visualization and Computer Graphics 2022
    Dense representative tooth landmark/axis detection network on 3D model
    Computer Aided Geometric Design 2022
    Multi-task joint learning of 3D keypoint saliency and correspondence estimation
    Computer-Aided Design 2021
    Field‐aligned Quadrangulation for Image Vectorization
    Computer Graphics Forum 2019
    * indicates equal contribution; ✝ indicates corresponding authors

    Talks


  • Research and application of geometric feature detection for 3D graphics.
    Chinese Graphic Society doctoral Workshop2023 May, 2023

  • Field aligned Quadrangulation for Image Vectorization.
    Pacific Graphics 2019 Workshop October, 2019
  • Patents



  • China, 2021. 3D tooth point cloud model classification method and system based on deep learning. CN112989954A. Patent Pending.
  • China, 2021. Automatic detection method and system of orthodontic features of 3D dental models. CN112991273A. Patent Pending.
  • China, 2021. A method and system for predicting orthodontic results based on feature point recognition. CN114219897A. Patent Pending.
  • Awards



  • 3D Teeth Scan Segmentation and Labeling Challenge (MICCAI2022). Our team finished third in the world. [2022]
  • National Scholarship [2021]
  • National Encouragement scholarship [2019]