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Journal Publications

Chen Zu, Linling Zhu, Daoqiang Zhang*.  Iterative sparsity score for feature selection and its extension for multimodal data. Neurocomputing, 2017, 259: 146-153.    [download]

Dan Zhang, Qi Zhu, Daoqiang Zhang*.  Multi-modal dimensionality reduction using effective distance. Neurocomputing, 2017, 259: 130-139.    [download]

Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang*, Dinggang Shen*.  Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Transactions on Biomedical Engineering.2017, 64(1): 238-249.    [download]

Xiaoke Hao, Chanxiu Li, Lei Du, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen*, Daoqiang Zhang*.  Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.  Scientific Reports, 2017, 7:44272.    [download]

Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen*, Daoqiang Zhang*.  An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-images. IEEE/ACM transactions on computational biology and bioinformatics, 2017, 15(3): 828-838.    [download]

Bo Cheng, Mingxia Liu, Dinggang Shen*, Zuoyong Li, Daoqiang Zhang*.  Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.  Neuroinformatics, 2017, 15:115-132.     [download]

Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen*,Daoqiang Zhang*.  Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.  Bioinformatics, 2017, 33:i341-i349.    [download]

Wei Shao, Yi Ding, Hongbin Shen*, Daoqiang Zhang*.  Deep model-based feature extraction for predicting protein subcellular localizations from bio-images.  Frontiers of Computer Science, 2017, 11(2): 243-252.    [download]

Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen*, Guorong Wu*.  Robust multi-atlas label propagation by deep sparse representation. Pattern Recognition, 2017, 63: 511-517.    [download]

丁毅,王明亮,张道强*.  差异性随机子空间集成.  计算机科学与探索,2017.    [download]

路子祥, 黄嘉爽, 屠黎阳, 徐西嘉,张道强*.  基于张量的正则化多线性回归算法及其应用.  计算机科学与探索, 2017.    [download]

光俊叶, 邵伟, 孙亮, 张道强*.  基于融合欧氏距离与Kendall Tau距离度量的谱聚类算法.  控制理论与应用, 2017, 34(6): 783-789.    [download]

李蝉秀,郝小可,张道强*.  基于超网络的基因和脑影像关联分析.  模式识别与人工智能, 2017, 30(9): 841-849.    [download]

张丹,刘明霞,张道强*.  基于有效距离的迭代特征选择.  小型微型计算机系统, 2017, 38(5): 1054-1058.    [download]

路子祥,屠黎阳,祖辰,张道强*.  基于脑连接网络的阿尔茨海默病临床变量值预测.  智能系统学报, 2017, 12(3): 355-361.    [download]

胡清华,张道强,张长水.  复杂环境下的机器学习研究专刊前言.  软件学报,2017,28(11):2811−2813.    [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]

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