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

Journal Publications

 Pengfei Huang, Daoqiang Zhang*.  Locality sensitive C-means clustering algorithms.  Neurocomputing. 2010, 73(16): 2935-2943.                    [download]

 Yan Peng, Daoqiang Zhang, Jianchun Zhang.  A new canonical correlation analysis algorithm with local discrimination.  Neural processing letters. 2010, 31(1): 1-15.                    [download]

 Dan Sun, Daoqiang Zhang*.  Bagging constraint score for feature selection with pairwise constraints.  Pattern Recognition. 2010, 43(6): 2106-2118.                    [download]

 Xuesong Yin, Songcan Chen*, Enliang Hu, Daoqiang Zhang.  Semi-supervised clustering with metric learning: An adaptive kernel method.  Pattern Recognition. 2010, 43(4): 1320-1333.                    [download]

 Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin.  Semisupervised kernel matrix learning by kernel propagation.  IEEE Transactions on Neural Networks. 2010, 21(11): 1831-1841.                    [download]

 Weiling Cai, Songcan Chen, Daoqiang Zhang.  A multiobjective simultaneous learning framework for clustering and classification.  IEEE transactions on neural networks. 2010, 21(2): 185-200.                    [download]

 吴遐*, 张道强.  半监督图核降维方法.  计算机科学与探索, 2010, 04(7):629-636.                    [download]

 张道强.  知识保持的嵌入方法.  山东大学学报(工学版), 2010, 40(2):1-10.                    [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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