Jie Zhang

According to our database, Jie Zhang authored at least 21 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images.

Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang

IEEE Trans. Medical Imaging, 2021

Predicting future cognitive decline with hyperbolic stochastic coding.

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

Medical Image Anal., 2021

2020

Towards Robust Machine Learning Models for Data Scarcity.

Jie Zhang

PhD thesis, 2020

Regularize, Expand and Compress: NonExpansive Continual Learning.

Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression.

Jie Zhang, Yalin Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML.

Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang

CoRR, 2019

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression.

Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang

CoRR, 2019

Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation.

Jie Zhang, Yalin Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.

Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

2018

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures.

Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics.

Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices.

Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease.

Yanshuai Tu, Chengfeng Wen, Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images.

Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang

CoRR, 2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.

Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang

CoRR, 2017

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding.

Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline.

Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.

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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2010

Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS.

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

NeuroImage, 2010

2009

Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS.

Yalin Wang, Jie Zhang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009