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]
