Continuous aerial path planning for 3D urban scene reconstruction. - Han Zhang 063; Yucong Yao; Ke Xie 001; Chi-Wing Fu; Hao Zhang 002; Hui Huang 004 (ACM Trans. Graph., 2021)

Nondeterministic Deformation Analysis Using Quasiconformal Geometry. - Han Zhang 063; Lok Ming Lui (ICIP, 2022)

Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component. - Han Zhang 063; Lok Ming Lui (CoRR, 2022)

Topology-Preserving Segmentation Network. - Han Zhang 063; Lok Ming Lui (CoRR, 2022)

A learning-based framework for topology-preserving segmentation using quasiconformal mappings. - Han Zhang 063; Lok Ming Lui (Neurocomputing, 2024)

A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using a Physics-Informed Neural Network. - Han Zhang 063; Raymond H. Chan; Xue-Cheng Tai (SIAM J. Sci. Comput., 2024)

Deformation-invariant neural network and its applications in distorted image restoration and analysis. - Han Zhang 063; Qiguang Chen; Lok Ming Lui (Neural Networks, 2025)

QIS : Interactive Segmentation via Quasi-conformal Mappings. - Han Zhang 063; Daoping Zhang; Lok Ming Lui (SIAM J. Imaging Sci., 2025)

Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Riemann Surfaces. - Han Zhang 063; Tsz Lok Ip; Lok Ming Lui (CoRR, 2025)

Circular Image Deturbulence using Quasi-conformal Geometry. - Chu Chen; Han Zhang 063; Lok Ming Lui (CoRR, 2025)

Fluid Dynamics and Domain Reconstruction from Noisy Flow Images Using Physics-Informed Neural Networks and Quasi-Conformal Mapping. - Han Zhang 063; Xue-Cheng Tai; Jean-Michel Morel; Raymond H. Chan (CoRR, 2025)

Parametrized sampling for 3D blood simulation in deformable vessels using Physics-Informed Neural Networks. - Han Zhang 063; Lingfeng Li; Xue-Cheng Tai; Raymond Honfu Chan (J. Comput. Appl. Math., 2026)

Quasi-conformal Convolution: A Learnable Convolution for Deep Learning on Simply Connected Open Surfaces. - Han Zhang 063; Tsz Lok Ip; Lok Ming Lui (SIAM J. Imaging Sci., 2026)