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

Journal Publications

Sun L, Mo Z, Yan F, Xia L, Shan F, Ding Z, et al. Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. arXiv preprint arXiv:2005.03264, 2020 [download]

Shao W, Peng Y, Zu C, Wang M, and Zhang D. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Computerized Medical Imaging and Graphics 80, 101663, 2020[download]

Li W, Liu M, Zhang D. Nyström Subspace Learning for Large-scale SVMs. arXiv preprint arXiv:2002.08937, 2020 [download]

Huang J, Zhou L, Wang L and Zhang D. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Transactions on Medical Imaging, 2020. [download]

Hao X, Bao Y, Guo Y, Yu M, Zhang D, Shannon L.R., et al. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Analysis 60, 101625(3), 2020. [download]

Zhu Q, Xu N, Huang S, Qian J and Zhang D. Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. International Journal of Machine Learning and Cybernetics, 11 (2), 463-474, 2020. [download]

Zhu Q, Xu X, Yuan N, Zhang Z, Guan D, Huang SJ, and Zhang D. Latent Correlation Embedded Discriminative Multi-Modal Data Fusion. Signal Processing, 107466(1), 2020. [download]

Ma K, Yu J, Shao W, Xu X, Zhang Z, and Zhang D. Functional Overlaps Exist in Neurological and Psychiatric Disorders: A Proof from Brain Network Analysis. Neuroscience, 425, 39-48, 2020 [pdf]

Yousefnezhad M, Selvitella A, Han L, and Zhang D. Supervised Hyperalignment for multi-subject fMRI data alignment.arXiv preprint arXiv:2001.02894, 2020 [download]

Wang M, Hao X, Huang J, Wang K, Shen L, Xu X et al. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics, 18 (1), 43-57, 2020 [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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