These papers are made available for personal use only, subject to author's and publisher's copyright.
Journal Publications
Chong Wang, Hui-Fu Wang, Meng-Shan Tan,Ying Liu, Teng Jiang, Daoqiang Zhang, Lan Tan, Jin-Tai Yu. Impact of Common Variations in PLD3 on Neuroimaging Phenotypes in Non-demented Elders. Molecular Neurobiology, 2016, 53(7):1-9. [download]
Biao Jie, Chong-Yaw Wee, Dinggang Shen*, Daoqiang Zhang*. Hyper-connectivity of functional networks for brain disease diagnosis. Medical image analysis, 2016, 32: 84-100. [download]
Chen Zu, Daoqiang Zhang*. Canonical sparse cross-view correlation analysis. Neurocomputing, 2016, 191: 263-272. [download]
Mingxia Liu, Daoqiang Zhang*. Feature Selection with Effective Distance. Neurocomputing, 2016, 215:100-109. [download]
Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao*, Dinggang Shen*. A learning-based CT prostate segmentation method via joint transductive feature selection and regression. Neurocomputing, 2016, 173: 317-331. [download]
Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics, 2016: 1-14. [download]
Mingxia Liu, Daoqiang Zhang. Pairwise Constraint-Guided Sparse Learning for Feature Selection. IEEE transactions on cybernetics, 2016, 46(1): 298-310. [download]
Yanyan Zhang, Jianchun Zhang, Zhisong Pan*, Daoqiang Zhang*. Multi-view dimensionality reduction via canonical random correlation analysis. Frontiers of Computer Science, 2016, 856-869. [download]
Junqiang Du, Lipeng Wang, Biao Jie, Daoqiang Zhang*. Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA. Computerized Medical Imaging and Graphics. 2016, 52: 82-88. [download]
Muhammad Yousefnezhad, Ali Reihanian*, Daoqiang Zhang, BehrouzMinaei-Bidgoli. A new selection strategy for selective cluster ensemble based on Diversity and Independency. Engineering Applications of Artificial Intelligence. 2016, 56: 260-272. [download]
Mingxia Liu, Daoqiang Zhang*, Ehsan Adeli and Dinggang Shen*. Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis. IEEE Transactions on Biomedical Engineering.2016, 63(7): 1473-1482. [download]
Mingxia Liu, Daoqiang Zhang* and Dinggang Shen*. Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. IEEE Transactions on Medical Imaging.2016, 35(6): 1463-1474. [download]
Qing-Fei Zhao, Yu Wan, Hui-Fu Wang, Fu-Rong Sun, Xiao-Ke Hao, Meng-Shan Tan, Chen-Chen Tan, Dao-Qiang Zhang, Lan Tan*, Jin-Tai Yu*. ABCA7 Genotypes Confer Alzheimer's Disease Risk by Modulating Amyloid-β Pathology. Journal of Alzheimer's Disease, 2016 (Preprint): 1-11, in press. [download]
Hui-Fu Wang, Yu Wan, Xiao-Ke Hao, Lei Cao, Xi-Chen Zhu, Teng Jiang, Meng-Shan Tan, Lin Tan, Dao-Qiang Zhang, Lan Tan*, Jin-Tai Yu*. Bridging Integrator 1 (BIN1) Genotypes Mediate Alzheimer's Disease Risk by Altering Neuronal Degeneration. Journal of Alzheimer's Disease, 2016 (Preprint): 1-12, in press. [download]
Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang. Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics, 2016: 1-18, in press. [download]
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang. WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. IEEE Transaction on Cybernetics, 2016, in press. [download]
光俊叶, 刘明霞, 张道强*. 有效距离在聚类算法中的应用. 计算机科学与探索, 2016. [download]
彭瑶, 祖辰, 张道强*. 基于超图的多模态特征选择算法及其应用. 计算机科学与探索, 2016. [download]
接标, 张道强. 面向脑网络的新型图核及其在 MCI 分类上的应用. 计算机学报, 2016, 39(8):1667-1680. [download]
叶婷婷, 刘明霞, 张道强 基于有效距离的多模态特征选择. 模式识别与人工智能, 2016, 29(7):658-664. [download]
屠黎阳, 杜俊强, 接标, 张道强. 基于判别性子图重构的轻微肝性脑病分类. 模式识别与人工智能, 2016, 29(9):832-839. [download]
Conference Publications
Muhammad Yousefnezhad, Daoqiang Zhang*. Deep Hyperalignment. In: 31st Conference on Neural Information Processing Systems (NIPS'17), Long Beach, CA, 2017. [download]
Muhammad Yousefnezhad, Daoqiang Zhang*. Local Discriminant Hyperalignment for multi-subject fMRI data alignment. In: 2017 AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, CA, 2017. [download]
Yi Ding, Shengjun Huang, Daoqiang Zhang*. Margin Distribution Logistic Machine. In: 2017 SIAM International Conference on Data Mining (SDM'17), Houston, Texas, 2017. [download]
Muhammad Yousefnezhad, Daoqiang Zhang*. Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. In: 2017 SIAM International Conference on Data Mining (SDM'17), Houston, Texas, 2017. [download]
Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang*. Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'17), Quebec City, Canada, 2017. [download]
Liang Sun, Wei Shao, Daoqiang Zhang*. High-order Boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. In: IEEE International Symposium on Biomedical Imaging (ISBI'17), Melbourne, Australia, 2017. [download]
