Jie Zhang

Affiliations:
  • Apple, CA, USA
  • Arizona State University, Tempe, AZ, USA (former)
  • University of Wisconsin-Madison, Department of Statistics (former)


According to our database1, Jie Zhang authored at least 24 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images.
IEEE Trans. Medical Imaging, 2021

Predicting future cognitive decline with hyperbolic stochastic coding.
Medical Image Anal., 2021

2020
Towards Robust Machine Learning Models for Data Scarcity.
PhD thesis, 2020

Regularize, Expand and Compress: NonExpansive Continual Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Class-incremental Learning via Deep Model Consolidation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML.
CoRR, 2019

Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation.
CoRR, 2019

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression.
CoRR, 2019

Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Generative Visual Dialogue System via Weighted Likelihood Estimation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.
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.
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.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices.
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.
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.
CoRR, 2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR, 2017

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline.
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.
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.
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.
NeuroImage, 2010

2009
Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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