Jie Zhang - RankMe

27 papers A* 2A 2Journal 11Unranked 11

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2021	J	`jnl`	Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR 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
2021	J	`jnl`	Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 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
2020	A	`conf`	Class-incremental Learning via Deep Model Consolidation. WACV Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo
2020	A	`conf`	Regularize, Expand and Compress: NonExpansive Continual Learning. WACV Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
2020	—	`conf`	Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. ISBI Jie Zhang, Yalin Wang
2020	—	`—`	Towards Robust Machine Learning Models for Data Scarcity. Jie Zhang
2019	J	`jnl`	Class-incremental Learning via Deep Model Consolidation. CoRR Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo
2019	—	`conf`	Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. MICCAI (2) Jie Zhang, Yalin Wang
2019	J	`jnl`	Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation. CoRR Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
2019	A*	`conf`	Generative Visual Dialogue System via Weighted Likelihood Estimation. IJCAI Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
2019	J	`jnl`	MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang
2019	—	`conf`	Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang
2019	J	`jnl`	Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. CoRR Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
2018	A*	`conf`	Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. IJCAI Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
2018	J	`jnl`	Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. CoRR Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
2018	—	`conf`	Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics. ISBI Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
2018	—	`conf`	Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. EMBC Yanshuai Tu, Chengfeng Wen, Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
2018	—	`conf`	Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. ISBI Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2017	—	`conf`	Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. ISBI Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang
2017	J	`jnl`	Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2017	—	`conf`	Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. IPMI Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2017	J	`jnl`	Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images. CoRR Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang
2016	—	`conf`	Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI 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
2016	—	`conf`	Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) 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
2010	J	`jnl`	Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS. NeuroImage 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
2009	—	`conf`	Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS. ISBI Yalin Wang, Jie Zhang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson