| 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 | 45 | 2020 |
| 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 | 25 | 2016 |
| 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 | 15 | 2016 |
| 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 | 14 | 2017 |
| 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 | 12 | 2017 |
| 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 | 11 | 2017 |
| 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 | 8 | 2018 |
| 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 | 7 | 2018 |
| 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 | 6 | 2017 |
| 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 | 4 | 2019 |
| 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 | 4 | 2018 |
| 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 | 3 | 2019 |
| 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 | 3 | 2016 |
| 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 | 1 | 2020 |
| 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 | 1 | 2020 |
| Multiple similarity matrices for multi-label learning J Zhang, B Yang, L Jing JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE 11 (16), 5843-5854, 2014 | 1 | 2014 |
| 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 |
Yalin WangAssociate Professor of Computer Science, Arizona State UniversityVerified email at asu.edu
