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2018年会议论文
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[1]
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He Jiang, Zuopeng Yang, Huangkai Cai, Enmei Tu, Jie Yang: Structure-preserved image super resolution from learning scalable residual homogeneity, in proceedings of International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, pp. 1-10, 2018
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2017年期刊论文
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[1]
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Enmei Tu, Nikola Kasabov, Jie Yang: Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, a, IEEE Transactions on Neural Networks and Learning Systems, 28(6): 1305-1317, 2017
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2016年期刊论文
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[1]
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Enmei Tu,Yaqian Zhang, Lin Zhu, Jie Yang, Nikola Kasabov: A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Clas, Information Sciences, 367: 673-688, 2016
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2015年期刊论文
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[1]
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Chen Gong, Dacheng Tao, Tongliang Liu, Keren Fu, Enmei Tu, Jie Yang: Deformed Graph Laplacian for Semi-supervised Learning, IEEE Transactions on Neural Networks and Learning Systems, 26(10): 2261-2274, 2015
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[2]
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Enmei Tu, Jie Yang, Nicola Kasabov, Yaqian Zhang: Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples, Neurocomputing, 157: 173-186, 2015
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2014年期刊论文
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[1]
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Enmei Tu, Longbing Cao, Jie Yang, Nicola Kasabov: A Novel Graph-based k-Means for Nonlinear Manifold Clustering and Representative Selection, Neurocomputing, 143: 109-122, 2014
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[2]
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Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang: Semi-supervised classification with pairwise constraints, Neurocomputing, 139: 130-137, 2014
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