Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression. - Yuru Pei; Yungeng Zhang; Haifang Qin; Gengyu Ma; Yuke Guo; Tianmin Xu; Hongbin Zha (DLMIA/ML-CDS@MICCAI, 2017)

Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps. - Yungeng Zhang; Yuru Pei; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (MICCAI (1), 2018)

Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images. - Yungeng Zhang; Yuru Pei; Haifang Qin; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2018)

Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network. - Yungeng Zhang; Yuru Pei; Haifang Qin; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (ISBI, 2019)

Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps. - Diya Sun; Yuru Pei; Yungeng Zhang; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2019)

Fully Convolutional Network for Consistent Voxel-Wise Correspondence. - Yungeng Zhang; Yuru Pei; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (AAAI, 2020)

Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures. - Yungeng Zhang; Yuru Pei; Si Chen; Yuke Guo; Gengyu Ma; Tianmin Xu; Hongbin Zha (ISBI, 2020)

3D Volume Reconstruction from Single Lateral X-Ray Image via Cross-Modal Discrete Embedding Transition. - Yikun Jiang; Peixin Li; Yungeng Zhang; Yuru Pei; Yuke Guo; Tianmin Xu; Xiaoru Yuan (MLMI@MICCAI, 2020)

Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks. - Yungeng Zhang; Yuru Pei; Yuke Guo; Si Chen; Tianmin Xu; Hongbin Zha (MLMI@MICCAI, 2020)

Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence. - Diya Sun; Yungeng Zhang; Yuru Pei; Tianmin Xu; Hongbin Zha (MICCAI (4), 2021)

Learning Dual Transformer Network for Diffeomorphic Registration. - Yungeng Zhang; Yuru Pei; Hongbin Zha (MICCAI (4), 2021)

Disentangling semantic features of macromolecules in Cryo-Electron Tomography. - Kai Yi; Jianye Pang; Yungeng Zhang; Xiangrui Zeng; Min Xu 009 (CoRR, 2021)

Dense correspondence of deformable volumetric images via deep spectral embedding and descriptor learning. - Diya Sun; Yuru Pei; Yungeng Zhang; Tianmin Xu; Tianbing Wang; Hongbin Zha (Medical Image Anal., 2022)

Craniofacial Volumetric Image Estimation From a Lateral Cephalogram Using Cross-Dimensional Discrete Embedding Mapping. - Yikun Jiang; Yuru Pei; Peixin Li; Yungeng Zhang; Yuke Guo; Yi Fan; Gui Chen; Fanfan Dai; Tianmin Xu; Xiaoru Yuan; Hongbin Zha (IEEE Trans. Computational Imaging, 2022)

Deep Volumetric Descriptor Learning for Dense Correspondence of Cone-Beam Computed Tomography via Spectral Maps. - Diya Sun; Yungeng Zhang; Yuru Pei; Peixin Li; Kaichen Nie; Tianmin Xu; Tianbing Wang; Hongbin Zha (IEEE Trans. Medical Imaging, 2022)

Towards building a firm metaverse security base. - Anmin Li; Xiaohui Yao; Haiying Gu; Yungeng Zhang; Yuan Chang (Secur. Saf., 2023)

Bi-Graph Reasoning for Masticatory Muscle Segmentation From Cone-Beam Computed Tomography. - Yicheng Zhong; Yuru Pei; Kaichen Nie; Yungeng Zhang; Tianmin Xu; Hongbin Zha (IEEE Trans. Medical Imaging, 2023)

Unsupervised Learning of Facial Optical Flow via Occlusion-Aware Global-Local Matching. - Yungeng Zhang; Yuan Chang; Yun Shen; Peng Ding; Wei Liang; Mingchuan Yang (ICASSP, 2024)

Adapting Large Language Models to Forecast in Frequency Domain. - Yungeng Zhang; Yuan Chang; Xiaohou Shi; Yaqi Song; Feng Wang; Mingchuan Yang (ICASSP, 2025)