Han ZHANG | City University of Hong Kong
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Han ZHANG

Ph.D. Candidate
City University of Hong Kong
hanz.enthe@gmail.com
[Level-10 Rolling Chair Driver]

About Me

I am a Ph.D. candidate at City University of Hong Kong supervised by Raymond H. Chan and co-supervised by Xue-Cheng Tai, Jean-Michel Morel. I obtained my M.Phil. degree from Department of Mathematics at The Chinese University of Hong Kong supervised by Lok Ming Lui. I obtained my B.Sc degree from School of Mathematics at Sun Yat-Sen University.

Research Interests

News

Journal Publication

  1. Fluid Dynamics and Domain Reconstruction from Noisy Flow Images Using Physics-Informed Neural Networks and Quasi-Conformal Mapping
    Han Zhang, Xue-Cheng Tai, Jean-Michel Morel, Raymond H. Chan
    Submitted (XXXX), 2025
  2. Circular Image Deturbulence using Quasi-conformal Geometry
    Chu Chen, Han Zhang, Lok Ming Lui
    Submitted (XXXX), 2025
  3. Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Riemann Surfaces
    Han Zhang, Tsz Lok Ip, Lok Ming Lui
    SIAM Journal of Imaging Science(SIIS), 2025.
  4. Parametrized Sampling for 3D Blood Simulation in Deformable Vessels Using Physics-Informed Neural Networks
    Han Zhang, Lingfeng Li, Xue-Cheng Tai, Raymond H. Chan
    Journal of Computational and Applied Mathematics(JCAM), 2025
  5. Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis
    Han Zhang, Qiguang Chen, Lok Ming Lui
    Neural Network(NEU NET), 2025.
  6. QIS : Interactive Segmentation via Quasi-Conformal Mappings
    Han Zhang, Daoping Zhang, Lok Ming Lui
    SIAM Journal of Imaging Science (SIIS), 2025.
  7. Full 3D Blood Flow Simulation in Curved Deformable Vessels Using Physics-Informed Neural Networks
    Han Zhang, Xue-Cheng Tai
    Acta Mathematica Universitatis Comenianae (AMUC), 2024.
  8. A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using Physics-Informed Neural Network
    Han Zhang, Raymond H. Chan, Xue-Cheng Tai
    SIAM Journal of Scientific Computing (SISC), 2024.
  9. A Learning-based Framework for Topology-Preserving Segmentation using Quasiconformal Mappings
    Han Zhang, Lok Ming Lui
    Neurocomputing (NEUCOMP), 2024.
  10. Continuous Aerial Path Planning for 3D Urban Scene Reconstruction
    Han Zhang, Yucong Yao, Ke Xie, Chi-Wing Fu, Hao Zhang, Hui Huang
    ACM Transaction on Computer Graphics (ACM TOG, SIGGRAPH ASIA), 2021.

Proceeding Publication

  1. Fast Physics-Informed Learning via Diffusion Hypernetworks
    Yuzhou Zhao, Han Zhang, J. Matias Di Martino, Jean-Michel Morel, Guillermo Sapiro
    Submitted (XXXX), 2025
  2. Nondeterministic Deformation analysis using Quasiconformal Geometry
    Han Zhang, Lok Ming Lui
    IEEE International Conference on Image Processing (ICIP), 2022.

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