Jie Zhang

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 20

Top Topics

Dictionary Learning

Predicting Future

Convolutional Neural Networks

Top Venues

Publications

Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70 (2021)
Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR (2021)
Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging 40 (8) (2021)
Jie Zhang, Yalin Wang
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. ISBI (2020)
Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
Regularize, Expand and Compress: NonExpansive Continual Learning. WACV (2020)
Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI (2019)
Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. CoRR (2019)
Jie Zhang, Yalin Wang
Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. MICCAI (2) (2019)
Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR (2019)
Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. IJCAI (2018)
Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. CoRR (2018)
Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics. ISBI (2018)
Yanshuai Tu, Chengfeng Wen, Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. EMBC (2018)
Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. ISBI (2018)
Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images. CoRR (2017)
Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. ISBI (2017)
Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. IPMI (2017)
Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR (2017)
Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) (2016)
Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Paul M. Thompson, Jieping Ye, Yalin Wang
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI (2016)
Yalin Wang, Jie Zhang, Boris Gutman, Tony F. Chan, James T. Becker, Howard Aizenstein, Oscar L. Lopez, Robert J. Tamburo, Arthur W. Toga, Paul M. Thompson
Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS. NeuroImage 49 (3) (2010)
Yalin Wang, Jie Zhang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson
Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS. ISBI (2009)