These papers are made available for personal use only, subject to author's and publisher's copyright.
Journal Publications
Daoqiang Zhang, Yaping Wang, Luping Zhou,Hong Yuan, Dinggang Shen*. Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage. 2011, 55(3): 856-867. [download]
Shiguo Chen, Daoqiang Zhang. Semisupervised dimensionality reduction with pairwise constraints for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters. 2011, 8(2): 369-373. [download]
Jianchun Zhang, Daoqiang Zhang*. A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples. Pattern Recognition. 2011, 44(6): 1162-1171. [download]
陈诗国, 张道强*. 半监督降维方法的实验比较. 软件学报, 2011, 22(1):28-43. [download]
芮波, 张道强. 脑白质损伤分割方法比较和策略改进. 微电子学与计算机, 2011, 28(10):84-86. [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]
