These papers are made available for personal use only, subject to author's and publisher's copyright.
Journal Publications
Daoqiang Zhang*, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu*. Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE transactions on medical imaging, 2018, 37(7): 1711-1722. [download]
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang*. WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. IEEE Transactions on Cybernetics, 2018, 48(2): 486-499. [download]
Biao Jie, Mingxia Liu, Daoqiang Zhang*, Dinggang Shen*. Sub-network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Transactions on Image Processing, 2018, 27(5): 2340-2353. [download]
Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang. Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access, 2018, 6: 78065-78076. [download]
Daoqiang Zhang, Liyang Tu, Long-Jiang Zhang, Biao Jie, Guang-Ming Lu. Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy. Brain imaging and behavior, 2018, 12(3): 901-911. [download]
Xiaoke Hao, Xiaohui Yao, Shannon L Risacher, Andrew J Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang. Identifying candidate genetic associations with MRI-derived AD-related ROI via tree-guided sparse learning. IEEE/ACM transactions on computational biology and bioinformatics, 2018, 16(6): 1986-1996. [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]
