Publications

{2017}        {2016}        {2015}        {2014}        {2013}        {2012}        {2011}


2017
  • Zhen Wang, Yuan-Hai Shao*, Lan Bai, Li-Ming Liu, Nai-Yang Deng. Stochastic Gradient Twin Support Vector Machine for Large Scale Problems, 2017, arXiv preprint arXiv:1704.05596.
  • Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao*, Wei-Jie Chen. Robust recursive absolute value inequalities discriminant analysis with sparseness, Neural Networks, 2017, 93, 205-218.
  • Ya-Fen Ye, Yuan-Hai Shao*, Nai-Yang Deng*, Chun-Na Li, Xiang-Yu Hua. Robust Lp-norm least squares support vector regression with feature selection, Applied Mathematics and Computation, 2017, 305, 32-52.


    2016
  • Yuan-Hai Shao*, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng*. Extensive semi-quantitative regression, Neurocomputing, 2016, 218, 26-36
  • Zhen Wang, Yuan-Hai Shao*, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng. MBLDA: a novel multiple between-class linear discriminant analysis, Information Sciences, 2016, 369(10):199-220
  • Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao*, Zhen Wang, Nai-Yang Deng*. Weighted Lagrange epsilon-twin support vector regression, Neurocomputing, 2016, 197: 53-68.
  • Wei-Jie Chen, Yuan-Hai Shao*, Chun-Na Li, Nai-Yang Deng. MLTSVM: A novel twin support vector machine to multi-label learning, Pattern Recognition, 2016,52: 61-74.
  • Tanveer, M.*, Mangal, M., Ahmad, I., Yuan-Hai Shao. One norm linear programming support vector regression, Neurocomputing, 2016,173: 1508-1518.
  • Zhi-Min Yang,Xiang-Yu Hua*, Yuan-Hai Shao*, Ya-Fen Ye. A novel parametric-insensitive nonparallel support vector machine for regression, Neurocomputing, 2016,171: 649-663.
  • Chun-Na Li, Yuan-Hai Shao*, Nai-Yang Deng. Robust L1-norm nonparallel proximal support vector machine. Optimization, 2016, 65 (1), 169-183. [Code].


    2015
  • Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng*. Combined outputs framework for twin support vector machines. Applied Intelligence , 2015, inpress.
  • Chun-Na Li, Yuan-Hai Shao*, Nai-Yang Deng. Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks , 2015, 10.1016/j.neunet.2015.01.003. [Code].
  • Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng*. Weighted linear loss twin support vector machine for large-scale classification. Knowledge-Based Systems, 73: 276-288 (2015)[Code].
  • Zhi-Min Yang, Yan-Ru Guo*, Chun-Na Li, Yuan-Hai Shao. Local k-proximal plane clustering. Neural Computing and Applications, 2015, 26(1): 199-211 [Code].


    2014
  • Yuan-Hai Shao, Nai-Yang Deng*. The Equivalence between Principal Component Analysis and Nearest Flat in the Least Square Sense. Journal of Optimization Theory and Applications, 2014, DOI: 10.1007/s10957-014-0647-y.
  • Chun-Na Li, Yun-Feng Huang, He-Ji Wu, Yuan-Hai Shao*, Zhi-Min Yang. Multiple recursive projection twin support vector machine for multi-class classification. International Journal of Machine Learning and Cybernetics, 2014, DOI: 10.1007/s13042-014-0289-2.
  • Zhen Wang , Yuan-Hai Shao*, Lan Bai, Nai-Yang Deng. Twin Support Vector Machine for Clustering. IEEE Transactions on Neural Networks and Learning Systems, 2014, DOI: 10.1109/TNNLS.2014.2379930. [Code].
  • Yuan-Hai Shao*, Chun-Na Li, Zhen Wang , Ming-Zeng Liu, Nai-Yang Deng. Proximal Classifier via Absolute Value Inequalities. In: Proceedings of the 14th IEEE International Conference on Data Mining Workshops (ICDM'14), Shenzhen, China, 2014.
  • Yuan-Hai Shao, Wei-Jie Chen,Zhen Wang, Hai-Bin Zhang, Nai-Yang Deng*. A proximal classifier with positive and negative local regions. Neurocomputing, 2014, 145:131-139.
  • Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang*, Nai-Yang Deng*. Weighted linear loss support vector machine for large scale problems. Procedia Computer Science(IAITQM), 2014,31C: 639-647.
  • Wei-Jie Chen*, Yuan-Hai Shao*, Nai-Yang Deng, Zhi-Lin Feng. Laplacian least squares twin support vector machine for semi-supervised classification. Neurocomputing, 2014,145:465-476.
  • Yuan-Hai Shao, Wei-Jie Chen, Jing-jing Zhang, Zhen Wang, Nai-Yang Deng*. An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. Pattern Recognition, 2014, 47(9): 3158-3167.[Code].
  • Lan Bai, Zhen Wang, Yuan-Hai Shao*, Nai-Yang Deng. A novel feature selection method for twin support vector machine. Knowledge-Based Systems, 2014, 59 1-8.[Code].
  • Yuan-Hai Shao, Wei-Jie Chen,Nai-Yang Deng*. Nonparallel hyperplane support vector machine for binary classification problems. Information Sciences, 2014, 263(1) 2014, 22-35.[Code].
  • Wei-Jie Chen*,Yuan-Hai Shao, Deng-Ke Xu, Yong-Feng Fu. Manifold proximal support vector machine for semi-supervised classification. Applied Intelligence, 2014,40(4):623-638.
  • Wei-Jie Chen*,Yuan-Hai Shao, Ning Hong. Laplacian smooth twin support vector machine for semi-supervised classification[J]. International Journal of Machine Learning and Cybernetics. 2014,5(3):459-468
  • Zhen Wang*, Yuan-Hai Shao, Tie-Ru Wu. Proximal parametric-margin support vector classifier and its applications. Neural Computing and Applications, 2014, 23 (7-8), 2159-2166


    2013
  • Yuan-Hai Shao, Nai-Yang Deng*, Wei-Jie Chen. A proximal classifier with consistency. Knowledge-Based Systems, 2013, 49:171-178 [Code].
  • Zhi-Min Yang, Yuan-Hai Shao*, Jing Liang. Unascertained Support Vector Machines. Acta Automatica Sinica (In Chinese), 2013,39 (6): 895-901.
  • Yuan-Hai Shao*, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng. Proximal Plane Clustering via Eigenvalues. Procedia Computer Science(IAITQM), 2013,17: 41-47.
  • Zhi-Min Yang, Jun-Yun He*, Yuan-Hai Shao. Feature Selection Based on Linear Twin Support Vector Machines. Procedia Computer Science (IAITQM), 2013,17: 1039-1046.
  • Yuan-Hai Shao*, Wei-Jie Chen, Wen-Biao Huang, Zhi-Min Yang, Nai-Yang Deng*. The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. Procedia Computer Science (IAITQM), 2013,17: 1032-1038.
  • Wei-Jie Chen*, Yuan-Hai Shao*, Ya-Fen Ye. Improving Lap-TSVM with successive overrelaxation and differential evolution. Procedia Computer Science(IAITQM), 2013, 17: 33-40.
  • Ya-Fen Ye, Hui Cao*, Lan Bai, Zhen Wang, Yuan-Hai Shao. Exploring Determinants of Inflation in China Based on L1-Epsilon-Twin Support Vector Regression. Procedia Computer Science (IAITQM), 2013,17:514-522.
  • Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng*. Least squares twin parametric-margin support vector machines for classification. Applied Intelligence, 2013,39(3):451-464.
  • Zhen Wang*, Yuan-Hai Shao, Tie-Ru Wu. A GA-based Model Selection for Smooth Twin Parametric-Margin Support Vector Machine. Pattern Recognition,2013, 46: 2267-2277. [Code].
  • Yuan-Hai Shao*, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang. Improved generalized eigenvalue proximal support vector machine. IEEE Signal Processing Letters, 2013, 20(3):213-216.
  • Yuan-Hai Shao, Zhen Wang , Wei-Jie Chen, Nai-Yang Deng*. A regularization for the projection twin support vector machine. Knowledge-Based Systems, 2013,37:203-210.
  • Yuan-Hai Shao, Chun-Hua Zhang*, Zhi-Min Yang, Ling Jing, Nai-Yang Deng*. An \varepsilon-twin support vector machine for regression. Neural Computing and Applications,2013, 23:175-185 [Code].
  • Yuan-Hai Shao, Nai-Yang Deng*. A novel margin based twin support vector machine with unity norm hyperplanes. Neural Computing and Applications, 2013, 22(7-8):1627-1635.
  • Zhi-Xia Yang*, Yuan-Hai Shao, Xiang-Sun Zhang. Multiple Birth Support Vector Machine for Multi-class Classification. Neural Computing and Applications, 2013, 22 (Suppl 1):S153-S161.
  • Chun-Hua Zhang, Yuan-Hai Shao, Jun-Yan Tan*, Nai-Yang Deng. Mixed-norm Linear Support Vector Machine. Neural Computing and Applications, 2013, 24 (3-4), 755-764


    2012
  • Yuan-Hai Shao*, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen, Zhen Wang. Probabilistic outputs for twin support vector machines. Knowledge-Based Systems, 2012, 33: 145-151. [Code].
  • Yuan-Hai Shao, Nai-Yang Deng*. A coordinate descent margin based-twin support vector machine for classification. Neural Networks, 2012, 25: 114-121.
  • Yuan-Hai Shao, Nai-Yang Deng*, Zhi-Min Yang. Least squares recursive projection twin support vector machine for classification. Pattern Recognition, 2012, 45(6): 2299-2307. [Code].


    2011
  • Yuan-Hai Shao, Chun-Hua Zhang, Xiao-Bo Wang, Nai-Yang Deng*. Improvements on Twin Support Vector Machines. IEEE Transactions on Neural Networks, vol.22 no.6 pp. 962-968, 2011. [Code] [Data].
  • Yu-Xin Li, Yuan-Hai Shao, Nai-Yang Deng*. Improved Prediction of Palmitoylation SitesUsing PWMs and SVM. Protein \& Peptide Letters,2011, 18(2): 186-193(8).[Code]
  • Yu-Xin Li, Yuan-Hai Shao, Ling Jing, Nai-Yang Deng*. An Efficient Support Vector Machine Approach for Identifying Protein S-Nitrosylation Sites. Protein \& Peptide Letters, 2011, 18(6): 573-587(15).