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

Journal Publications

Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen.  Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification.  Brain Structure and Function. 2014, 219(2): 641-656.    [download]

Biao Jie, Daoqiang Zhang*, Chong-Yaw Wee, Dinggang Shen*.  Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification.  Human brain mapping. 2014, 35(7): 2876-2897.    [download]

Manhua Liu, Daoqiang Zhang, Dinggang Shen*,the Alzheimer's Disease Neuroimaging Initiative Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.  Human brain mapping. 2014, 35(4): 1305-1319.    [download]

Mingxia Liu*, Daoqiang Zhang*. Sparsity score: A novel graph-preserving feature selection method.  International Journal of Pattern Recognition and Artificial Intelligence. 2014, 28(04): 1450009(29 pages).    [download]

Guorong Wu, Qian Wang, Daoqiang Zhang, FeipingNie, Heng Huang, Dinggang Shen*. A generative probability model of joint label fusion for multi-atlas based brain segmentation.  Medical image analysis. 2014, 18(6): 881-890.                     [download]

Mingxia Liu, Daoqiang Zhang*, Songcan Chen. Attribute relation learning for zero-shot classification.  Neurocomputing. 2014, 139: 34-46.    [download]

Manhua Liu, Daoqiang Zhang, Dinggang Shen*.  Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis.  Neuroinformatics. 2014, 12(3): 381-394.    [download]

Ying Liu, Jin-Tai Yu*, Hui-Fu Wang, Xiao-KeHao, Yu-Fen Yang, Teng Jiang, Xi-Chen Zhu, Lei Cao, Daoqiang Zhang, Lan Tan*. Association between NME8 locus polymorphism and cognitive decline, cerebrospinal fluid and neuroimaging biomarkers in Alzheimer's disease.  PloS one. 2014, 9(12): e114777-e114777.    [download]

Biao Jie, Daoqiang Zhang*, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen*. Integration of network topological and connectivity properties for neuroimaging classification.  IEEE Transactions on Biomedical Engineering. 2014, 61(2): 576-589.    [download]

Fei Fei, Biao Jie, Daoqiang Zhang Frequent and discriminative subnetwork mining for mild cognitive impairment classification.  Brain connectivity. 2014, 4(5): 347-360.    [download]

Mingxia Liu, Linsong Miao, Daoqiang Zhang. Two-stage cost-sensitive learning for software defect prediction. IEEE Transactions on Reliability. 2014, 63(2): 676-686.    [download]

王立鹏, 费飞, 接标, 张道强* 基于子图选择和图核降维的脑网络分类方法. 计算机科学与探索, 2014, 8(10):1246-1253.    [download]

光俊叶, 刘明霞, 张道强* 基于有效距离的谱聚类算法. 计算机科学与探索, 2014, 8(11):1365-1372.    [download]

祖辰, 张道强. 有样本缺失的稀疏保持典型相关分析 模式识别与人工智能, 2014, 27(2):179-186.    [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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