Jie Zhang
Jie Zhang
Ph.D. of Computer Science, Arizona State University
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
Class-incremental learning via deep model consolidation
J Zhang, J Zhang, S Ghosh, D Li, S Tasci, L Heck, H Zhang, CCJ Kuo
The IEEE Winter Conference on Applications of Computer Vision, 1131-1140, 2020
452020
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline
J Zhang, C Stonnington, Q Li, J Shi, RJ Bauer, BA Gutman, K Chen, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 646-650, 2016
252016
Hyperbolic space sparse coding with its application on prediction of Alzheimer’s disease in mild cognitive impairment
J Zhang, J Shi, C Stonnington, Q Li, BA Gutman, K Chen, EM Reiman, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
152016
Multi-task dictionary learning based convolutional neural network for computer aided diagnosis with longitudinal images
J Zhang, Q Li, RJ Caselli, J Ye, Y Wang
arXiv preprint arXiv:1709.00042, 2017
142017
Multi-source multi-target dictionary learning for prediction of cognitive decline
J Zhang, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang
International Conference on Information Processing in Medical Imaging, 184-197, 2017
122017
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding
J Zhang, Y Fan, Q Li, PM Thompson, J Ye, Y Wang
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
112017
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics
J Wu, J Zhang, J Shi, K Chen, RJ Caselli, EM Reiman, Y Wang
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
82018
Regularize, expand and compress: Nonexpansive continual learning
J Zhang, J Zhang, S Ghosh, D Li, J Zhu, H Zhang, Y Wang
The IEEE Winter Conference on Applications of Computer Vision, 854-862, 2020
7*2020
Dynamically hierarchy revolution: dirnet for compressing recurrent neural network on mobile devices
J Zhang, X Wang, D Li, Y Wang
arXiv preprint arXiv:1806.01248, 2018
72018
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression
Q Li, D Zhu, J Zhang, DP Hibar, N Jahanshad, Y Wang, J Ye, ...
arXiv preprint arXiv:1704.08383, 2017
62017
Generative Visual Dialogue System via Weighted Likelihood Estimation.
H Zhang, S Ghosh, LP Heck, S Walsh, J Zhang, J Zhang, CCJ Kuo
IJCAI, 1025-1031, 2019
42019
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures
J Zhang, Y Tu, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
42018
Continually modeling Alzheimer’s disease progression via deep multi-order preserving weight consolidation
J Zhang, Y Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2019
32019
P3‐285: Patch‐Based Sparse Coding and Multivariate Surface Morphometry for Predicting Amnestic Mild Cognitive Impairment and Alzheimer’S Disease in Cognitively Unimpaired …
J Zhang, Y Wang, Q Li, J Shi, R Bauer III, K Chen, EM Reiman, RJ Caselli, ...
Alzheimer's & Dementia 12, P947-P947, 2016
32016
Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images
Q Dong, J Zhang, Q Li, J Wang, N Leporé, PM Thompson, RJ Caselli, ...
Journal of Alzheimer's Disease, 1-22, 2019
2*2019
A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder
Y Fu, J Zhang, Y Li, J Shi, Y Zou, H Guo, Y Li, Z Yao, Y Wang, B Hu
Progress in Neuro-Psychopharmacology and Biological Psychiatry, 109989, 2020
12020
Temporally adaptive-dynamic sparse network for modeling disease progression
J Zhang, Y Wang
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1900-1904, 2020
12020
Multiple similarity matrices for multi-label learning
J Zhang, B Yang, L Jing
JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE 11 (16), 5843-5854, 2014
12014
Patch-based surface morphometry feature selection with federated group lasso regression
J Wu, J Zhang, Q Li, Y Su, K Chen, EM Reiman, J Wang, N Lepore, J Ye, ...
16th International Symposium on Medical Information Processing and Analysis …, 2020
2020
Multi-task based lifelong learning
J Zhang, J Zhang, S Ghosh, D Li, ZHU Jingwen
US Patent App. 16/379,704, 2020
2020
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Articles 1–20