Publications by year:

Yuan-Gang Pan, Ivor W Tsang, Wei-Jie Chen, Gang Niu, Masashi Sugiyama. Fast and Robust Rank Aggregation against Model Misspecification, Journal of Machine Learning Research, 2022, 23(23):1−35. [Material]

Chun-Na Li, Yuan-Hai Shao*,Wotao Yin, Ming-Zeng Liu. Robust and sparse linear discriminant analysis via alternating direction method of multipliers, IEEE Transactions on Neural Networks and Learning Systems., 2021, inpress. [Material]

Bai Lan, Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng. Multiple flat projections for cross-manifold clustering, IEEE Transactions on Cybernetics, 2021, inpress.

Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng. ν-projection twin support vector machine for pattern classification, Neurocomputing, 2020, 376: 10-24.

Chun-Na Li Meng-Qi Shang Yuan-Hai Shao Yan Xu* Li-Ming Liu Zhen Wang . Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization, Neurocomputing, 2019, 337: 80-96.

Wei-Jie Chen ; Kai-Li Yang ; Yuan-Hai Shao ; Yu-Juan Chen ; Ju Zhang ; Jing-Jing Yao. A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification, IEEE Access, 2019, 10.1109/ACCESS.2019.2893531.

Wei-Jie Chen,Chun-Na Li, Yuan-Hai Shao*, Ju Zhang, Nai-Yang Deng. 2DRLPP: Robust two-dimensional locality preserving projection with regularization, Knowledge-Based Systems, 2019, 169: 53-66.

Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li. Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding, Knowl.-Based Syst. , 2019, 163: 227-240. [Material]

Zhen Wang, Yuan-Hai Shao*, Lan Bai, Chun-Na Li, Li-Ming Liu. A general model for plane-based clustering with loss function, arXiv preprint, 2019, CoRR abs/1901.09178. [Material]

Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li. Reversible Discriminant Analysis, IEEE Access, 2018, 6, 72551-72562.

XQ Sun, YJ Chen, YH Shao, CN Li, CH Wang. Robust nonparallel proximal support vector machine with Lp-norm regularization, IEEE Access , 2018, 6, 20334-20347.

Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao. Ramp-based Twin Support Vector Clustering, arXiv preprint, 2018, arXiv:1812.03710.

Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng. Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm, Neurocomputing, 2018, 315:345-361.

Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng. Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm, arXiv preprint, 2018, arXiv:1811.02384.

邵元海，杨凯丽，刘明增. 从支持向量机到非平行支持向量机, 运筹学学报, 2018, 22：55-65.

Mingzeng Liu, Yuanhai Shao. Large Margin Proximal Non-parallel Support Vector Classifiers, International Conference on Computational Science, 2018, 715-721.

Ming-Zeng Liu, Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Wei-Jie Chen. Minimum deviation distribution machine for large scale regression, Knowledge-Based Systems, 2018, 146:167-180.

Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng. Generalized two-dimensional linear discriminant analysis with regularization, arXiv preprint, 2018, arXiv:1801.07426.

Mingzeng Liu, Baojun Li, Qingjie Guo, Chungang Zhu, Ping Hu, Yuanhai Shao. Progressive iterative approximation for regularized least square bivariate B-spline surface fitting, Journal of Computational and Applied Mathematics, 2018, 327:175-187.

Zhen Wang, Yuan-Hai Shao*, Lan Bai, Li-Ming Liu, Nai-Yang Deng. Insensitive stochastic gradient twin support vector machines for large scale problems, Information Sciences, 2018, 462: 114-131 . [Material]

Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng. Sparse Lq-norm least squares support vector machine with feature selection, Pattern Recognition, 2018, 78: 167-181.

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.

Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao. k-Proximal plane clustering, International Journal of Machine Learning and Cybernetics, 2017, 8(5):1537-1554.

Hua-Xin Pei, Zeng-Rong Zheng, Chen Wang, Chun-Na Li, Yuan-Hai Shao. D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation, Procedia Computer Science, 2017, 122:407-414.

Chen Wang, Chun-Na Li, Hua-Xin Pei, Yan-Ru Guo, Yuan-Hai Shao. Alternating Direction Method of Multipliers for L1-and L2-norm Best Fitting Hyperplane Classifier, Procedia Computer Science, 2017, 108:1292-1301.

Ya-Fen Ye, Chao Ying, Yuan-Hai Shao, Chun-Na Li, Yu-Juan Chen. Robust and Sparse LP-Norm Support Vector Regression, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2017, 21(6):989-997.

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.

李春娜，陈伟杰，邵元海. 鲁棒的稀疏Lp-模主成分分析, 自动化学报, 2017, 43(1):142-151.

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, 2016, 7(5):729-740.

Zhi-Min Yang, He-Ji Wu, Chun-Na Li, Yuan-Hai Shao. Least squares recursive projection twin support vector machine for multi-class classification, International Journal of Machine Learning and Cybernetics, 2016, 7(3):411-426.

陈伟杰，邵元海，李春娜，邓乃扬. 基于流形正则化的半监督投影双子支持向量机, 模式识别与人工智能, 2016, 29(2):97-107.

白兰，王震，邵元海. 回归问题中的 k 近邻加权方法研究, 小型微型计算机系统, 2016, 37(7):1557-1561.

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. [Material]

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.

Tanveer, M.*, Mangal, M., Ahmad, I., Yuan-Hai Shao. One norm linear programming support vector regression, Neurocomputing, 2016, 173: 1508-1518.

Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao*, Zhen Wang, Nai-Yang Deng*. Weighted Lagrange ε-twin support vector regression, Neurocomputing, 2016, 197(C):53-68.

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.

Yuan-Hai Shao*, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng*. Extensive semi-quantitative regression, Neurocomputing, 2016, 218:26-36.

Chun-Na Li, Yuan-Hai Shao*, Nai-Yang Deng. Robust L1-norm two-dimensional linear discriminant analysis, Neural Networks, 2015, 65: 92-104. [Material]

Yuan-Hai Shao*, Zhen Wang, Chun-Na Li, Nai-Yang Deng. Local sensitive proximal classifier with consistency for small sample size problem, In: Proceedings of the 15th IEEE International Conference on Data Mining Workshops (ICDM'15), 2015, 1163-1170.

Zhen Wang*, Yuan-Hai Shao*, Lan Bai, Nai-Yang Deng. Twin Support Vector Machine for Clustering, IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(10): 2583-2588. [Material]

Xiang-Yu Hua,Zhi-Min Yang*,Ya-Fen Ye*, Yuan-Hai Shao. A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression, Procedia Computer Science, 2015, 944-952.

Zhi-Min Yang,He-Ji Wu,Chun-Na Li, Yuan-Hai Shao*.. Least squares recursive projection twin support vector machine for multi-class classification, International Journal of Machine Learning and Cybernetics, 2015, 7(3):411-426.

Ya-Fen Ye, Yuan-Hai Shao,Chun-Na Li . Wavelet Lp-norm support vector regression with feature selection, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2015, 19(3): 407-416.

Ya-Fen Ye, Yue-Xiang Jiang, Yuan-Hai Shao,Chun-Na Li.. Financial conditions index construction through weighted Lp-norm support vector regression, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2015, 19(3): 397-406.

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, 43(2): 424-438.

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, 2015, 73: 276-288 . [Material]

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, 2015, 166(1): 278-284 .

Yuan-Hai Shao*, Wei-Jie Chen, Li-Ming Liu, Nai-Yang Deng. Laplacian unit-hyperplane learning from positive and unlabeled examples, Information Sciences, 2015, 314: 152-168 . [Material]

Chun-Na Li, Yuan-Hai Shao*, Nai-Yang Deng. Robust L1-norm two-dimensional linear discriminant analysis, Neural Networks , 2015, 65: 92-104. [Material]

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 . [Material]

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, 1-12.

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), 2014, 74-79.

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, 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. [Material]

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. [Material]

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.

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, 24 (3-4), 755-764 .

Yuan-Hai Shao, Nai-Yang Deng*, Wei-Jie Chen. A proximal classifier with consistency, Knowledge-Based Systems, 2013, 49:171-178 . [Material]

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. [Material]

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.

Zhi-Xia Yang*, Yuan-Hai Shao, Xiang-Sun Zhang. Multiple Birth Support Vector Machine for Multi-class Classification., Neural Computing and Applications, 2013, 153–161.

Chun-Hua Zhang, Yuan-Hai Shao, Jun-Yan Tan*. Nai-Yang Deng. Mixed-norm Linear Support Vector Machine, Neural Computing and Applications, 2013, 23 (7-8), 2159-2166 .

Yuan-Hai Shao, Nai-Yang Deng*. A novel margin based twin support vector machine with unity norm hyperplanes, Neural Computing and Applications, 2012, 22(7-8).

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. [Material]

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. [Material]

Yuan-Hai Shao, Chun-Hua Zhang, Xiao-Bo Wang, Nai-Yang Deng*. Improvements on Twin Support Vector Machines, IEEE Transactions on Neural Networks, 2011, 962-968. [Material]

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).. [Material]

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).

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