These papers are made available for personal use only, subject to author's and publisher's copyright.
Journal Publications
Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang. Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Analysis, 2020, 65: 101795. [download]
Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, DaoqiangZhang. A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Analysis, 2020, 65: 101755. [download]
Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang. LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. Information Sciences, 2020, 539: 522-535. [download]
Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang. Improving the Certified Robustness of Neural Networks via Consistency Regularization. arXiv preprint arXiv:2012.13103, 2020. [download]
Kai Ma, Yongkang Liu, Wei Shao, Jianhua Sun, Jing Li, Xiaokun Fang, Jing Li, Zhongqiu Wang and Daoqiang Zhang. Brain functional interaction of acupuncture effects in diarrhea-dominant irritable bowel syndrome. Frontiers in Neuroscience, 2020, 14: 1261. [download]
Qi Zhu, Nuoya Xu, Zheng Zhang, Donghai Guan, Ran Wang and Daoqiang Zhang . Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multimedia Tools and Applications, 2020, 79(45): 33771-33792. [download]
Kai Ma, Peng Wan, Daoqiang Zhang. Transport based Graph Kernels. arXiv preprint arXiv:2011.00745, 2020. [download]
Peng Wan, Fang Chen, Wei Shao, Chunrui Liu, Yidan Zhang, Baojie Wen, Wentao Kong, Daoqiang Zhang. Irregular Respiratory Motion Compensation for Liver Contrast-Enhanced Ultrasound via Transport-Based Motion Estimation. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2020, 68(4): 1117-1130. [download]
Fang Chen, Xiwen Cui, Zhe Zhao, Daoqiang Zhang, Cong Ma, Xinran Zhang, Hongen Liao. Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. Computerized Medical Imaging and Graphics, 2020, 85: 101782. [download]
Fang Chen, Jia Liu, Xinran Zhang, Daoqiang Zhang, Hongen Liao. Improved 3D Catheter Shape Estimation Using Ultrasound Imaging for Endovascular Navigation: A Further Study. IEEE Journal of Biomedical and Health Informatics, 2020, 24(12): 3616-3629.[download]
Kai Ma, Biao Jie,Daoqiang Zhang. Ordinal Pattern Kernel for Brain Connectivity Network Classification. arXiv preprint arXiv:2008.07719, 2020. [download]
Fang Chen, Zhe Zhao, Jia Liu, Xiwen Cui, Daoqiang Zhang, Xiuyun Su, Jingxin Zhao, Peifu Tang, Hongen Liao. Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching. Computerized Medical Imaging and Graphics, 2020, 81: 101714. [download]
Fang Chen, Xiwen Cui, Jia Liu, Boxuan Han, Xinran Zhang, Daoqiang Zhang, Hongen Liao. Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping. IEEE Transactions on Biomedical Engineering, 2020, 67(11): 3211-3222. [download]
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen. Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. IEEE Journal of Biomedical and Health Informatics, 2020, 24(10): 2798-2805. [download]
Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Computerized Medical Imaging and Graphics, 2020, 80: 101663. [download]
Weida Li, Mingxia Liu, Daoqiang Zhang. Geometric Interpretation of Running Nyström-Based Kernel Machines and Error Analysis. arXiv preprint arXiv:2002.08937, 2020 [download]
Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Transactions on Medical Imaging, 2020, 39(7): 2541-2552. [download]
Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, L.Risacher Shannon, J.Saykin Andrew, Xiaohui Yao, Li Shen.., et al. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Analysis, 2020, 60: 101625. [download]
Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian and Daoqiang Zhang. Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. International Journal of Machine Learning and Cybernetics, 2020, 11(2): 463-474. [download]
Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang. Latent Correlation Embedded Discriminative Multi-Modal Data Fusion. Signal Processing, 2020, 171: 107466. [download]
Kai Ma, Jintai Yu, Wei Shao, Xijia Xu, Zhiqiang Zhang, Daoqiang Zhang. Functional Overlaps Exist in Neurological and Psychiatric Disorders: A Proof from Brain Network Analysis. Neuroscience, 2020, 425: 39-48. [pdf]
Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang. A survey on deep learning for neuroimaging-based brain disorder analysis.Frontiers in Neuroscience, 2020, 14. [download]
Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang and Mingxia Liu. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics, 2020,18 (1), 43-57. [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]
