| Class-incremental learning via deep model consolidation J Zhang, J Zhang, S Ghosh, D Li, S Tasci, L Heck, H Zhang, CCJ Kuo Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 420 | 2020 |
| Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS Y Wang, J Zhang, B Gutman, TF Chan, JT Becker, HJ Aizenstein, ... NeuroImage 49 (3), 2141-2157, 2010 | 123 | 2010 |
| 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 | 36 | 2016 |
| 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 104, 109989, 2021 | 34 | 2021 |
| Regularize, expand and compress: Nonexpansive continual learning J Zhang, J Zhang, S Ghosh, D Li, J Zhu, H Zhang, Y Wang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 32* | 2020 |
| 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 | 24 | 2018 |
| 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 | 23 | 2017 |
| Multi-source multi-target dictionary learning for prediction of cognitive decline J Zhang, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang Information Processing in Medical Imaging: 25th International Conference …, 2017 | 23 | 2017 |
| Predicting brain amyloid using multivariate morphometry statistics, sparse coding, and correntropy: validation in 1,101 individuals from the ADNI and OASIS databases J Wu, Q Dong, J Gui, J Zhang, Y Su, K Chen, PM Thompson, RJ Caselli, ... Frontiers in Neuroscience 15, 669595, 2021 | 22 | 2021 |
| 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 | 22 | 2016 |
| 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 | 20 | 2018 |
| 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 | 16 | 2017 |
| System and method for incremental learning J Zhang, J Zhang, S Ghosh, D Li, S Tasci, L Heck US Patent App. 16/255,737, 2020 | 15 | 2020 |
| 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 | 12 | 2019 |
| 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 | 11 | 2019 |
| 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 | 11 | 2019 |
| Federated morphometry feature selection for hippocampal morphometry associated beta-amyloid and tau pathology J Wu, Q Dong, J Zhang, Y Su, T Wu, RJ Caselli, EM Reiman, J Ye, ... Frontiers in Neuroscience 15, 762458, 2021 | 10 | 2021 |
| Multi-resemblance multi-target low-rank coding for prediction of cognitive decline with longitudinal brain images J Zhang, J Wu, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang IEEE transactions on medical imaging 40 (8), 2030-2041, 2021 | 9 | 2021 |
| 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 | 9 | 2017 |
| Generative visual dialogue system via adaptive reasoning and weighted likelihood estimation H Zhang, S Ghosh, L Heck, S Walsh, J Zhang, J Zhang, CCJ Kuo arXiv preprint arXiv:1902.09818, 2019 | 8 | 2019 |
Yalin WangProfessor of Computer Science and Engineering, Arizona State UniversityEmail verificata su asu.edu