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Jie Zhang 0026
Person information
- affiliation: Apple, CA, USA
- affiliation (former): Arizona State University, Tempe, AZ, USA
- affiliation (former): University of Wisconsin-Madison, Department of Statistics
Other persons with the same name
- Jie Zhang — disambiguation page
- Jie Jennifer Zhang
(aka: Jie Zhang 0001) — University of Texas at Arlington (and 1 more)
- Jie Zhang 0002
- Jie Zhang 0003
- Jie Zhang 0004 — State Key Laboratory of Networking and Switching Technology, BUPT
- Jie Zhang 0005
- Jie Zhang 0006
- Jie Zhang 0007 (aka: Jie (Jerry) Zhang) — Google (and 1 more)
- Jie Zhang 0008
- Jie Zhang 0009 — University of British Columbia (and 1 more)
- Jie Zhang 0010
- Jie Zhang 0011 — Institute for Infocomm Research
- Jie Zhang 0012
- Jie Zhang 0013 — University of Maryland, Department of Geographical Sciences (and 1 more)
- Jie Zhang 0014 — North China University of Technology
- Jie Zhang 0015 — Magister Solutions (and 1 more)
- Jie Zhang 0016 — Sichuan Electric Power Research Institute, State Grid Corporation of China, Chengdu, China (and 1 more)
- Jie Zhang 0018 — University of Maryland, School of Business
- Jie Zhang 0019
- Jie Zhang 0020 — Beijing Institute of Electronic System Engineering, China
- Jie Zhang 0021 — Southeast University, Nanjing
- Jie Zhang 0022
- Jie Zhang 0023
- Jie Zhang 0024 — University of Technology, Sydney
- Jie Zhang 0025 — Oracle (and 1 more)
- Jie Zhang 0027
- Jie Zhang 0028
- Jie Zhang 0029
- Jie Zhang 0030
- Jie Zhang 0031
- Jie Zhang 0032
- Jie Zhang 0033
- Jie Zhang 0034
- Jie Zhang 0035 — Clemson University, Department of Physics, Computational Biophysics and Bioinformatics / Computer Science, SC, USA
- Jie Zhang 0036 — Wuhan University of Technology, School of Computer Science & Technology, China
- Jie Zhang 0038
- Jie Zhang 0039
- Jie Zhang 0040
- Jie Zhang 0041
- Jie Zhang 0042
- Jie Zhang 0043 — Hunan University, College of Computer Science and Electronics Engineering, Changsha, China
- Jie Zhang 0044
- Jie Zhang 0045 — Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
- Jie Zhang 0046 — Chinese University of Hong Kong, Department of Computer Science and Engineering, CUhk REliable Computing Laboratory, Hong Kong
- Jie Zhang 0047 — City University London, UK
- Jie Zhang 0048
- Jie Zhang 0049
- Jie Zhang 0050
- Jie Zhang 0051
- Jie Zhang 0052
- Jie Zhang 0053
- Jie Zhang 0054
- Jie Zhang 0055
- Jie Zhang 0056
- Jie Zhang 0057 — Southwest University, School of Electronic and Information Engineering, Chongqing, China
- Jie Zhang 0058
- Jie Zhang 0059
- Jie Zhang 0060
- Jie Zhang 0061
- Jie Zhang 0062
- Jie Zhang 0063
- Jie Zhang 0064
- Jie Zhang 0065
- Jie Zhang 0066
- Jie Zhang 0067
- Jie Zhang 0068
- Jie Zhang 0069
- Jie Zhang 0070
- Jie Zhang 0071
- Jie Zhang 0072
- Jie Zhang 0073
- Jie Zhang 0074
- Jie Zhang 0075
- Jie Zhang 0076
- Jie Zhang 0077
- Jie Zhang 0078 — Tsinghua University, Department of Computer Science, Beijing, China
- Jie Zhang 0079
- Jie Zhang 0080
- Jie Zhang 0081
- Jie Zhang 0082
- Jie Zhang 0083
- Jie Zhang 0084
- Jie Zhang 0085 — Dalian University of Technology, School of Software Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China
- Jie Zhang 0086
- Jie Zhang 0087
- Jie Zhang 0088
- Jie Zhang 0089
- Jie Zhang 0090
- Jie Zhang 0091 — Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi'an, China
- Jie Zhang 0092 — University of Kentucky, Department of Radiology, Lexington, KY, USA
- Jie Zhang 0093
- Jie Zhang 0094
- Jie Zhang 0095
- Jie Zhang 0096 — University of Washington, WA, USA
- Jie Zhang 0097
- Jie Zhang 0098
- Jie Zhang 0099
- Jie Zhang 0100
- Jie Zhang 0101
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2020 – today
- 2021
- [j3]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70: 102009 (2021) - [j2]Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging 40(8): 2030-2041 (2021) - [i8]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 abs/2102.10503 (2021) - 2020
- [b1]Jie Zhang:
Towards Robust Machine Learning Models for Data Scarcity. Arizona State University, Tempe, USA, 2020 - [c15]Jie Zhang, Yalin Wang
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. ISBI 2020: 1900-1904 - [c14]Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
Regularize, Expand and Compress: NonExpansive Continual Learning. WACV 2020: 843-851 - [c13]Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo
Class-incremental Learning via Deep Model Consolidation. WACV 2020: 1120-1129
2010 – 2019
- 2019
- [c12]Qunxi Dong
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI 2019: 21-35 - [c11]Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
Generative Visual Dialogue System via Weighted Likelihood Estimation. IJCAI 2019: 1025-1031 - [c10]Jie Zhang, Yalin Wang
Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. MICCAI (2) 2019: 850-859 - [i7]Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang:
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR abs/1902.00918 (2019) - [i6]Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo:
Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation. CoRR abs/1902.09818 (2019) - [i5]Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo:
Class-incremental Learning via Deep Model Consolidation. CoRR abs/1903.07864 (2019) - [i4]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 abs/1903.08362 (2019) - 2018
- [c9]Yanshuai Tu, Chengfeng Wen, Wen Zhang
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. EMBC 2018: 427-4631 - [c8]Jie Zhang, Xiaolong Wang, Dawei Li
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. IJCAI 2018: 3089-3096 - [c7]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: 1406-1410 - [c6]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: 1555-1559 - [i3]Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. CoRR abs/1806.01248 (2018) - 2017
- [c5]Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. IPMI 2017: 184-197 - [c4]Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. ISBI 2017: 446-450 - [i2]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 abs/1704.08383 (2017) - [i1]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 abs/1709.00042 (2017) - 2016
- [c3]Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI 2016: 646-650 - [c2]Jie Zhang, Jie Shi
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) 2016: 326-334 - 2010
- [j1]Yalin Wang
Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS. NeuroImage 49(3): 2141-2157 (2010)
2000 – 2009
- 2009
- [c1]Yalin Wang
Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS. ISBI 2009: 129-132
Coauthor Index
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last updated on 2024-11-25 23:38 CET by the dblp team
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