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
Zhenxing Xu, Junyi Zhang, Daoqiang Zhang, Hanyu Wei. A New Network Traffic Identification Base on Deep Factorization Machine. International Conference on Intelligent Science and Big Data Engineering. Springer, Cham, 2019: 209-218. [download]
Huijie Li, Qi Zhu, Rui Zhang, Daoqiang Zhang. Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. International Conference on Intelligent Science and Big Data Engineering. Springer, Cham, 2019: 356-368. [download]
Weida Li, Fang Chen, Daoqiang Zhang. Graph Hyperalignment for Multi-subject fMRI Functional Alignment. International Workshop on Graph Learning in Medical Imaging. Springer, Cham, 2019: 1-8. [download]
Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang. Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'19). Springer, Cham, 2019: 113-121. [download]
Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang. Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI'19). Springer, Cham, 2019: 691-699. [download]
Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang. Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. International Workshop on Machine Learning in Medical Imaging. Springer, Cham, 2019: 142-150. [download]
Ruoyu Chen, Zhongnian Li, Daoqiang Zhang. Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. International Workshop on Human Brain and Artificial Intelligence. Springer, Singapore, 2019: 235-247. [download]
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang. Functional connectivity network analysis with discriminative hub detection for brain disease identification. Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33: 1198-1205. [download]
Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang. SEGAN: structure-enhanced generative adversarial network for compressed sensing MRI reconstruction. Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33: 1012-1019. [download]
