主要论文
杂志论文发表（五篇SCI检索）：
1.B. Zhou, B. Chen and J. Hu, "Quasi-linear Support Vector Machine for Nonlinear Classification",IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,Vol.E97-A,No.7, July, pp.1587-1594, 2014.
2. W. Li,B. Zhou, B. Chen and J. Hu, "A Deep Neural Network Based Quasi-linear Kernel for Support Vector Machines",IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,Vol.E99-A, No.12, Dec., 2016.
3. W.Li,B.Zhou, B.Chen and J.Hu, "A Geometry-Based Two-step Method for Nonlinear Classification Using Quasi-Linear Support Vector Machine",IEEJ Trans. on Electrical and Electronic Engineering, Vol.12, No.6, Nov., 2017.
4.B.Zhou, W.Li and J.Hu, "A New Segmented Oversampling Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine",IEEJ Trans. on Electrical and Electronic Engineering,Vol.12, No.6, Nov., 2017.
5. B. Zhou, W. Li and J. Hu, "A Coarse-to-Fine Two-step Method for Semi-Supervised Classification Using Quasi-Linear Laplacian SVM", submitted toIEEJ Trans. on Electrical and Electronic Engineering.(Received)
会议论文发表：
1.B. Zhouand J. Hu, "A Dynamic Pattern Recognition Approach Based on Neural Network for Stock Time-Series", inProc. of World Congress on Nature and Biologically Inspired Computing(NaBIC 2009) (India), 12, 2009, pp.1552-1555.
2.B. Zhou, C. Yang, H. Guo and J. Hu, "A Quasi-linear SVM Combined with Assembled SMOTE for Imbalanced Data Classification", inProc. of 2013 IEEE International Joint Conference on Neural Networks(IJCNN'2013) (Dallas), Aug., 2013, pp.2351-2357.
3. C. Hu,B. Zhou, and J. Hu, "Fast Support Vector Data Description Training Using Edge Detection on Large Datasets", inProc. of 2014 IEEE International Joint Conference on Neural Networks (IJCNN'2014) (Beijing), July, 2014, pp.2176-2182.(Best Student Paper Award - Finalist)
4.B. Zhou, C. Hu, B. Chen and J. Hu, "A Transductive Support Vector Machine with Adjustable Quasi-linear Kernel for Semi-supervised Data Classification", inProc. of 2014 IEEE International Joint Conference on Neural Networks(IJCNN'2014) (Beijing), July, 2014, pp.1409-1415.
5.B. Zhou, D. Fu, C. Dong and J. Hu, "A Transductive SVM with Quasi-linear Kernel Based on Cluster Assumption for Semi-Supervised Classification", inProc. of 2015 IEEE International Joint Conference on Neural Networks(IJCNN'2015) (Killarney), July, 2015.
6. D. Fu,B. Zhouand J. Hu, "Improving SVM Based Multi-label Classification by Using Label Relationship", inProc. of 2015 IEEE International Joint Conference on Neural Networks (IJCNN'2015) (Killarney), July, 2015.
7. C. Dong,B. Zhouand J. Hu, "A Hierarchical SVM Based Multiclass Classification by Using Similarity Clustering", inProc. of 2015 IEEE International Joint Conference on Neural Networks (IJCNN'2015) (Killarney), July, 2015.
8. W. Li,B. Zhouand J. Hu, "A Kernel Level Composition of Multiple Local Classifiers for Nonlinear Classification", in Proc. of 2016 IEEE International Joint Conference on Neural Networks (IJCNN'2016) (Vancouver), July, 2016, pp.3845-3850.
9. W. Li, B. Chen,B. Zhou, & J. Hu. A mixture of multiple linear classifiers with sample weight and manifold regularization. In Proc. of 2017 IEEE International Joint Conference on Neural Networks (IJCNN'2017), May, 2017. pp. 3747-3752.
