Shape Analysis with Hyperbolic Wasserstein Distance. - Jie Shi 001; Wen Zhang 010; Yalin Wang 001 (CVPR, 2016)

Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. - Wen Zhang 010; Jie Shi 001; Cynthia M. Stonnington; Robert J. Bauer; Boris A. Gutman; Kewei Chen 001; Paul M. Thompson; Eric M. Reiman; Richard J. Caselli; Yalin Wang 001 (ISBI, 2016)

An Optimal Transportation Based Univariate Neuroimaging Index. - Liang Mi; Wen Zhang 010; Junwei Zhang; Yonghui Fan; Dhruman Goradia; Kewei Chen 001; Eric M. Reiman; Xianfeng Gu; Yalin Wang 001 (ICCV, 2017)

Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. - Wen Zhang 010; Jie Shi 001; Jun Yu; Liang Zhan; Paul M. Thompson; Yalin Wang 001 (ISBI, 2017)

Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis. - Jie Shi 001; Wen Zhang 010; Miao Tang; Richard J. Caselli; Yalin Wang 001 (Medical Image Anal., 2017)

Variational Wasserstein Clustering. - Liang Mi; Wen Zhang 010; Xianfeng Gu; Yalin Wang 001 (ECCV (15), 2018)

Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. - Yanshuai Tu; Chengfeng Wen; Wen Zhang 010; Jianfeng Wu; Jie Zhang 026; Kewei Chen 001; Richard J. Caselli; Eric M. Reiman; Yalin Wang 001 (EMBC, 2018)

Multimodal Fusion of Brain Networks with Longitudinal Couplings. - Wen Zhang 010; Kai Shu; Suhang Wang; Huan Liu 001; Yalin Wang 001 (MICCAI (3), 2018)

Brain Morphometry Analysis with Surface Foliation Theory. - Chengfeng Wen; Na Lei; Ming Ma 003; Xin Qi 011; Wen Zhang 010; Yalin Wang 001; Xianfeng David Gu (CoRR, 2018)

Regularized Wasserstein Means Based on Variational Transportation. - Liang Mi; Wen Zhang 010; Yalin Wang 001 (CoRR, 2018)

A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data. - Wen Zhang 010; Liang Mi; Paul M. Thompson; Yalin Wang 001 (IPMI, 2019)

Surface Foliation Based Brain Morphometry Analysis. - Chengfeng Wen; Na Lei; Ming Ma 003; Xin Qi 011; Wen Zhang 010; Yalin Wang 001; Xianfeng Gu (MBIA/MFCA@MICCAI, 2019)

Geometric Brain Surface Network for Brain Cortical Parcellation. - Wen Zhang 010; Yalin Wang 001 (GLMI@MICCAI, 2019)

Graph Neural Networks for User Identity Linkage. - Wen Zhang 010; Kai Shu; Huan Liu 001; Yalin Wang 001 (CoRR, 2019)

Regularized Wasserstein Means for Aligning Distributional Data. - Liang Mi; Wen Zhang 010; Yalin Wang 001 (AAAI, 2020)

Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity. - Wen Zhang 010; Yalin Wang 001 (ISBI, 2020)

Deep Representation Learning for Multimodal Brain Networks. - Wen Zhang 010; Liang Zhan; Paul M. Thompson; Yalin Wang 001 (MICCAI (7), 2020)

Variational Wasserstein Barycenters for Geometric Clustering. - Liang Mi; Tianshu Yu 001; José Bento 001; Wen Zhang 010; Baoxin Li; Yalin Wang 001 (CoRR, 2020)

Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study. - Yanshuai Tu; Liang Mi; Wen Zhang 010; Haomeng Zhang; Junwei Zhang; Yonghui Fan; Dhruman Goradia; Kewei Chen 001; Richard J. Caselli; Eric M. Reiman; Xianfeng Gu; Yalin Wang 001 (Neuroinformatics, 2020)

The Fusion of Multimodal Brain Imaging Data from Geometry Perspectives. - Wen Zhang 010 (2020)

How Good Is Aesthetic Ability of a Fashion Model? - Xingxing Zou; Kaicheng Pang; Wen Zhang 010; Waikeung Wong (CVPR, 2022)

Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. - Wen Zhang 010; B. Blair Braden; Gustavo Miranda; Kai Shu; Suhang Wang; Huan Liu 001; Yalin Wang 001 (Neuroinformatics, 2022)