Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS. - Yalin Wang 001; Jie Zhang 026; Tony F. Chan; Arthur W. Toga; Paul M. Thompson (ISBI, 2009)

Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS. - Yalin Wang 001; Jie Zhang 026; Boris Gutman; Tony F. Chan; James T. Becker; Howard Aizenstein; Oscar L. Lopez; Robert J. Tamburo; Arthur W. Toga; Paul M. Thompson (NeuroImage, 2010)

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. - Jie Zhang 026; Cynthia M. Stonnington; Qingyang Li 001; Jie Shi 001; Robert J. Bauer; Boris A. Gutman; Kewei Chen 001; Eric M. Reiman; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (ISBI, 2016)

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. - Jie Zhang 026; Jie Shi 001; Cynthia M. Stonnington; Qingyang Li 001; Boris A. Gutman; Kewei Chen 001; Eric M. Reiman; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (MICCAI (1), 2016)

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. - Jie Zhang 026; Qingyang Li 001; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (IPMI, 2017)

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. - Jie Zhang 026; Yonghui Fan; Qingyang Li 001; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (ISBI, 2017)

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. - Qingyang Li 001; Dajiang Zhu; Jie Zhang 026; Derrek Paul Hibar; Neda Jahanshad; Yalin Wang 001; Jieping Ye; Paul M. Thompson; Jie Wang 005 (CoRR, 2017)

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images. - Jie Zhang 026; Qingyang Li 001; Richard J. Caselli; Jieping Ye; Yalin Wang 001 (CoRR, 2017)

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)

Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. - Jie Zhang 026; Xiaolong Wang 006; Dawei Li 006; Yalin Wang 001 (IJCAI, 2018)

Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics. - Jianfeng Wu; Jie Zhang 026; Jie Shi 001; Kewei Chen 001; Richard J. Caselli; Eric M. Reiman; Yalin Wang 001 (ISBI, 2018)

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. - Jie Zhang 026; Yanshuai Tu; Qingyang Li 001; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (ISBI, 2018)

Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. - Qunxi Dong; Jie Zhang 026; Qingyang Li 001; Paul M. Thompson; Richard J. Caselli; Jieping Ye; Yalin Wang 001 (HBAI@IJCAI, 2019)

Generative Visual Dialogue System via Weighted Likelihood Estimation. - Heming Zhang 003; Shalini Ghosh; Larry P. Heck; Stephen Walsh; Junting Zhang; Jie Zhang 026; C.-C. Jay Kuo (IJCAI, 2019)

Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. - Jie Zhang 026; Yalin Wang 001 (MICCAI (2), 2019)

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. - Jie Zhang 026; Xiaolong Wang 006; Dawei Li 006; Shalini Ghosh; Abhishek Kolagunda; Yalin Wang 001 (CoRR, 2019)

Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation. - Heming Zhang 003; Shalini Ghosh; Larry P. Heck; Stephen Walsh; Junting Zhang; Jie Zhang 026; C.-C. Jay Kuo (CoRR, 2019)

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. - Jie Zhang 026; Junting Zhang; Shalini Ghosh; Dawei Li 006; Jingwen Zhu; Heming Zhang 003; Yalin Wang 001 (CoRR, 2019)

Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. - Jie Zhang 026; Yalin Wang 001 (ISBI, 2020)

Class-incremental Learning via Deep Model Consolidation. - Junting Zhang; Jie Zhang 026; Shalini Ghosh; Dawei Li 006; Serafettin Tasci; Larry P. Heck; Heming Zhang 003; C.-C. Jay Kuo (WACV, 2020)

Regularize, Expand and Compress: NonExpansive Continual Learning. - Jie Zhang 026; Junting Zhang; Shalini Ghosh; Dawei Li 006; Jingwen Zhu; Heming Zhang 003; Yalin Wang 001 (WACV, 2020)

Towards Robust Machine Learning Models for Data Scarcity. - Jie Zhang 026 (2020)

Predicting future cognitive decline with hyperbolic stochastic coding. - Jie Zhang 026; Qunxi Dong; Jie Shi 001; Qingyang Li 001; Cynthia M. Stonnington; Boris A. Gutman; Kewei Chen 001; Eric M. Reiman; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (Medical Image Anal., 2021)

Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. - Jie Zhang 026; Jianfeng Wu; Qingyang Li 001; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (IEEE Trans. Medical Imaging, 2021)