These papers are made available for personal use only, subject to author's and publisher's copyright.
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]
