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Yuan-Hai Shao 0001
Yuanhai Shao 0001
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- affiliation: Hainan University, Management School, Haikou, China
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- Yuanhai Shao — disambiguation page
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Journal Articles
- 2025
- [j108]Xiao-Jing Lv, Ling-Wei Huang, Yuan-Hai Shao:
Geometric relative margin machine for heterogeneous distribution and imbalanced classification. Inf. Sci. 689: 121430 (2025) - 2024
- [j107]M. Tanveer
, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao, M. A. Ganaie:
Comprehensive review on twin support vector machines. Ann. Oper. Res. 339(3): 1223-1268 (2024) - [j106]Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye, Yuan-Hai Shao
Regularized linear discriminant analysis based on generalized capped l2,q-norm. Ann. Oper. Res. 339(3): 1433-1459 (2024) - [j105]Ting-Ting Zhu, Chun-Na Li, Tian Liu, Yuan-Hai Shao:
Learning using granularity statistical invariants for classification. Appl. Intell. 54(8): 6667-6681 (2024) - [j104]Faxing Yu, Chunna Li
DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data. Eng. Appl. Artif. Intell. 127(Part B): 107319 (2024) - [j103]Ling-Wei Huang, Yuan-Hai Shao
Large-scale robust regression with truncated loss via majorization-minimization algorithm. Eur. J. Oper. Res. 319(2): 494-504 (2024) - [j102]Yafen Ye, Zhihu Xu, Jinhua Zhang, Weijie Chen
Twin support vector quantile regression. Expert Syst. Appl. 237(Part A): 121239 (2024) - [j101]Wenze Shao, Yuan-Hai Shao, Chun-Na Li:
A novel regularization method for decorrelation learning of non-parallel hyperplanes. Inf. Sci. 667: 120461 (2024) - [j100]Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li:
A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. J. Comput. Appl. Math. 437: 115471 (2024) - [j99]Huajun Wang
A new fast ADMM for kernelless SVM classifier with truncated fraction loss. Knowl. Based Syst. 283: 111214 (2024) - [j98]Chun-Na Li, Jiakou Liu, Yanhui Meng, Yuan-Hai Shao
Recursive universum linear discriminant analysis. Optim. Lett. 18(6): 1405-1419 (2024) - [j97]Huajun Wang
Fast generalized ramp loss support vector machine for pattern classification. Pattern Recognit. 146: 109987 (2024) - [j96]Zhen Wang
Generalization Memorization Machine with Zero Empirical Risk for Classification. Pattern Recognit. 152: 110469 (2024) - [j95]Chun-Na Li, Ling-Wei Huang, Yuan-Hai Shao
Feature selection by Universum embedding. Pattern Recognit. 153: 110514 (2024) - [j94]Chun-Na Li
Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2112-2124 (2024) - [j93]Huajun Wang
Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4151-4163 (2024) - 2023
- [j92]Jinsheng Yang
CNTS: Cooperative Network for Time Series. IEEE Access 11: 31941-31950 (2023) - [j91]Chun-Na Li
L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Access 11: 34250-34259 (2023) - [j90]Meng-Xian Zhu, Yuan-Hai Shao
Classification by Estimating the Cumulative Distribution Function for Small Data. IEEE Access 11: 41142-41157 (2023) - [j89]Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Chun-Na Li
Capped norm linear discriminant analysis and its applications. Appl. Intell. 53(15): 18488-18507 (2023) - [j88]Huajun Wang, Yuanhai Shao:
Sparse and robust SVM classifier for large scale classification. Appl. Intell. 53(16): 19647-19671 (2023) - [j87]Chun-Na Li
Union nonparallel support vector machines framework with consistency. Appl. Soft Comput. 136: 110129 (2023) - [j86]Jinsheng Yang, Yuan-Hai Shao
A multistage deep imputation framework for missing values large segment imputation with statistical metrics. Appl. Soft Comput. 146: 110654 (2023) - [j85]Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo:
Locally finite distance clustering with discriminative information. Inf. Sci. 623: 607-632 (2023) - [j84]Xiang-Fei Yang, Dong-Lin Wang, Jia-Hang Pan, Chun-Na Li
Creating Universum for class imbalance via locality and its application in multiview subspace learning. Inf. Sci. 647: 119478 (2023) - [j83]Huajun Wang, Yuanhai Shao:
Fast truncated Huber loss SVM for large scale classification. Knowl. Based Syst. 260: 110074 (2023) - [j82]Yuan-Hai Shao, Xiao-Jing Lv, Ling-Wei Huang, Lan Bai:
Twin SVM for conditional probability estimation in binary and multiclass classification. Pattern Recognit. 136: 109253 (2023) - 2022
- [j81]Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. Appl. Intell. 52(8): 8793-8809 (2022) - [j80]Lan Bai, Xu Chen
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning. Appl. Soft Comput. 123: 108906 (2022) - [j79]Xiang-Fei Yang, Chun-Na Li, Yuan-Hai Shao:
Robust multi-view discriminant analysis with view-consistency. Inf. Sci. 596: 153-168 (2022) - [j78]Huajun Wang
Proximal operator and optimality conditions for ramp loss SVM. Optim. Lett. 16(3): 999-1014 (2022) - [j77]Huajun Wang
Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7253-7265 (2022) - [j76]Lan Bai
Multiple Flat Projections for Cross-Manifold Clustering. IEEE Trans. Cybern. 52(8): 7704-7718 (2022) - [j75]Zhen Wang
Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints. IEEE Trans. Fuzzy Syst. 30(9): 3797-3811 (2022) - 2021
- [j74]Xiang-Fei Yang
Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. IEEE Access 9: 7690-7700 (2021) - [j73]Yibo Jiang, Wei-Jie Chen
MPMSVC: Multiple Parametric-Margin Support Vector Clustering. IEEE Access 9: 24499-24512 (2021) - [j72]Ming-Zeng Liu, Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen:
Smooth pinball loss nonparallel support vector machine for robust classification. Appl. Soft Comput. 98: 106840 (2021) - [j71]Ya-Fen Ye, Yuan-Hai Shao, Chunna Li
Online support vector quantile regression for the dynamic time series with heavy-tailed noise. Appl. Soft Comput. 110: 107560 (2021) - [j70]Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Yuan-Hai Shao, Ya-Fen Ye, Cheng-zi Jiang:
Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification. Eng. Appl. Artif. Intell. 97: 104033 (2021) - [j69]Chun-Na Li, Yi-Fan Qi, Yuan-Hai Shao, Yan-Ru Guo, Ya-Fen Ye:
Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition. Eng. Appl. Artif. Intell. 104: 104367 (2021) - [j68]Chun-Na Li, Yuan-Hai Shao, Da Zhao, Yan-Ru Guo, Xiang-Yu Hua:
Feature selection for high-dimensional regression via sparse LSSVR based on Lp-norm. Int. J. Intell. Syst. 36(2): 1108-1130 (2021) - [j67]Shu-Wang Du, Ming-Chuan Zhang, Pei Chen, Hui-Feng Sun, Weijie Chen
A Multiclass Nonparallel Parametric-Margin Support Vector Machine. Inf. 12(12): 515 (2021) - [j66]Chun-Na Li, Yuan-Hai Shao
Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks 142: 73-91 (2021) - [j65]Zhen Wang
General Plane-Based Clustering With Distribution Loss. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3880-3893 (2021) - 2020
- [j64]Jun Zhang
Can the Exchange Rate Be Used to Predict the Shanghai Composite Index? IEEE Access 8: 2188-2199 (2020) - [j63]Wei-Jie Chen
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Appl. Soft Comput. 90: 106142 (2020) - [j62]Chun-Na Li, Pei-Wei Ren, Yuan-Hai Shao, Ya-Fen Ye, Yan-Ru Guo:
Generalized elastic net Lp-norm nonparallel support vector machine. Eng. Appl. Artif. Intell. 88 (2020) - [j61]Wei-Jie Chen
ν-projection twin support vector machine for pattern classification. Neurocomputing 376: 10-24 (2020) - [j60]Zhen Wang, Xu Chen
Ramp-based twin support vector clustering. Neural Comput. Appl. 32(14): 9885-9896 (2020) - [j59]Chun-Na Li
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. 31(3): 915-926 (2020) - 2019
- [j58]Wei-Jie Chen
A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification. IEEE Access 7: 47171-47184 (2019) - [j57]Ling-Wei Huang, Yuan-Hai Shao
Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification. IEEE Access 7: 65390-65404 (2019) - [j56]Chun-Na Li
Robust k-subspace discriminant clustering. Appl. Soft Comput. 85 (2019) - [j55]Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing 337: 80-96 (2019) - [j54]Chun-Na Li
Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. 500: 274-297 (2019) - [j53]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. 163: 227-240 (2019) - [j52]Wei-Jie Chen
2DRLPP: Robust two-dimensional locality preserving projection with regularization. Knowl. Based Syst. 169: 53-66 (2019) - [j51]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang:
Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. Knowl. Based Syst. 183 (2019) - [j50]Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu:
Joint sample and feature selection via sparse primal and dual LSSVM. Knowl. Based Syst. 185 (2019) - 2018
- [j49]Xiao-Quan Sun, Yi-Jian Chen, Yuan-Hai Shao, Chun-Na Li
Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization. IEEE Access 6: 20334-20347 (2018) - [j48]Lan Bai, Zhen Wang
Reversible Discriminant Analysis. IEEE Access 6: 72551-72562 (2018) - [j47]Wei-Jie Chen
Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. Neurocomputing 315: 345-361 (2018) - [j46]Zhen Wang
Insensitive stochastic gradient twin support vector machines for large scale problems. Inf. Sci. 462: 114-131 (2018) - [j45]Ming-Zeng Liu, Yuan-Hai Shao
Minimum deviation distribution machine for large scale regression. Knowl. Based Syst. 146: 167-180 (2018) - [j44]Yuan-Hai Shao
Sparse Lq-norm least squares support vector machine with feature selection. Pattern Recognit. 78: 167-181 (2018) - 2017
- [j43]Ya-Fen Ye, Yuan-Hai Shao
Robust Lp-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305: 32-52 (2017) - [j42]Ya-Fen Ye, Chao Ying, Yuan-Hai Shao, Chun-Na Li, Yu-Juan Chen:
Robust and Sparse LP-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 21(6): 989-997 (2017) - [j41]Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao:
k-Proximal plane clustering. Int. J. Mach. Learn. Cybern. 8(5): 1537-1554 (2017) - [j40]Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao
Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks 93: 205-218 (2017) - 2016
- [j39]Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao
A novel parametric-insensitive nonparallel support vector machine for regression. Neurocomputing 171: 649-663 (2016) - [j38]Muhammad Tanveer
One norm linear programming support vector regression. Neurocomputing 173: 1508-1518 (2016) - [j37]Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao
Weighted Lagrange ε-twin support vector regression. Neurocomputing 197: 53-68 (2016) - [j36]Yuan-Hai Shao
Extensive semi-quantitative regression. Neurocomputing 218: 26-36 (2016) - [j35]Zhen Wang
MBLDA: A novel multiple between-class linear discriminant analysis. Inf. Sci. 369: 199-220 (2016) - [j34]Zhi-Min Yang, He-Ji Wu, Chun-Na Li, Yuan-Hai Shao:
Least squares recursive projection twin support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. 7(3): 411-426 (2016) - [j33]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. Int. J. Mach. Learn. Cybern. 7(5): 729-740 (2016) - [j32]Wei-Jie Chen
MLTSVM: A novel twin support vector machine to multi-label learning. Pattern Recognit. 52: 61-74 (2016) - 2015
- [j31]Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng:
Combined outputs framework for twin support vector machines. Appl. Intell. 43(2): 424-438 (2015) - [j30]Yuan-Hai Shao, Wei-Jie Chen
Laplacian unit-hyperplane learning from positive and unlabeled examples. Inf. Sci. 314: 152-168 (2015) - [j29]Ya-Fen Ye, Yue-Xiang Jiang, Yuan-Hai Shao, Chun-Na Li:
Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 19(3): 397-406 (2015) - [j28]Ya-Fen Ye, Yuan-Hai Shao, Chun-Na Li:
Wavelet Lp-Norm Support Vector Regression with Feature Selection. J. Adv. Comput. Intell. Intell. Informatics 19(3): 407-416 (2015) - [j27]Yuan-Hai Shao, Nai-Yang Deng:
The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense. J. Optim. Theory Appl. 166(1): 278-284 (2015) - [j26]Yuan-Hai Shao, Wei-Jie Chen
Weighted linear loss twin support vector machine for large-scale classification. Knowl. Based Syst. 73: 276-288 (2015) - [j25]Zhi-Min Yang, Yan-Ru Guo, Chun-Na Li, Yuan-Hai Shao:
Local k-proximal plane clustering. Neural Comput. Appl. 26(1): 199-211 (2015) - [j24]Chun-Na Li, Yuan-Hai Shao
Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks 65: 92-104 (2015) - [j23]Zhen Wang
Twin Support Vector Machine for Clustering. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2583-2588 (2015) - 2014
- [j22]Wei-Jie Chen
Manifold proximal support vector machine for semi-supervised classification. Appl. Intell. 40(4): 623-638 (2014) - [j21]Yuan-Hai Shao
A proximal classifier with positive and negative local regions. Neurocomputing 145: 131-139 (2014) - [j20]Wei-Jie Chen
Laplacian least squares twin support vector machine for semi-supervised classification. Neurocomputing 145: 465-476 (2014) - [j19]Yuan-Hai Shao, Wei-Jie Chen
Nonparallel hyperplane support vector machine for binary classification problems. Inf. Sci. 263: 22-35 (2014) - [j18]Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng:
A novel feature selection method for twin support vector machine. Knowl. Based Syst. 59: 1-8 (2014) - [j17]Wei-Jie Chen
Laplacian smooth twin support vector machine for semi-supervised classification. Int. J. Mach. Learn. Cybern. 5(3): 459-468 (2014) - [j16]Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu:
Proximal parametric-margin support vector classifier and its applications. Neural Comput. Appl. 24(3-4): 755-764 (2014) - [j15]Yuan-Hai Shao
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. Pattern Recognit. 47(9): 3158-3167 (2014) - 2013
- [j14]Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen
Least squares twin parametric-margin support vector machine for classification. Appl. Intell. 39(3): 451-464 (2013) - [j13]Wei-Jie Chen
Ensemble learning for generalised eigenvalues proximal support vector machines. Int. J. Comput. Appl. Technol. 47(2/3): 273-279 (2013) - [j12]Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen
A regularization for the projection twin support vector machine. Knowl. Based Syst. 37: 203-210 (2013) - [j11]Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen
A proximal classifier with consistency. Knowl. Based Syst. 49: 171-178 (2013) - [j10]Yuan-Hai Shao, Nai-Yang Deng:
A novel margin-based twin support vector machine with unity norm hyperplanes. Neural Comput. Appl. 22(7-8): 1627-1635 (2013) - [j9]Zhixia Yang, Yuan-Hai Shao, Xiang-Sun Zhang:
Multiple birth support vector machine for multi-class classification. Neural Comput. Appl. 22(Supplement-1): 153-161 (2013) - [j8]Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng:
An ε-twin support vector machine for regression. Neural Comput. Appl. 23(1): 175-185 (2013) - [j7]Chunhua Zhang, Yuan-Hai Shao, Junyan Tan, Naiyang Deng:
Mixed-norm linear support vector machine. Neural Comput. Appl. 23(7-8): 2159-2166 (2013) - [j6]Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu:
A GA-based model selection for smooth twin parametric-margin support vector machine. Pattern Recognit. 46(8): 2267-2277 (2013) - [j5]Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen
Improved Generalized Eigenvalue Proximal Support Vector Machine. IEEE Signal Process. Lett. 20(3): 213-216 (2013) - 2012
- [j4]Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen
Probabilistic outputs for twin support vector machines. Knowl. Based Syst. 33: 145-151 (2012) - [j3]Yuan-Hai Shao, Nai-Yang Deng:
A coordinate descent margin based-twin support vector machine for classification. Neural Networks 25: 114-121 (2012) - [j2]Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang:
Least squares recursive projection twin support vector machine for classification. Pattern Recognit. 45(6): 2299-2307 (2012) - 2011
- [j1]Yuan-Hai Shao, Chunhua Zhang, Xiao-Bo Wang, Nai-Yang Deng:
Improvements on Twin Support Vector Machines. IEEE Trans. Neural Networks 22(6): 962-968 (2011)
Conference and Workshop Papers
- 2022
- [c15]Wenwen Guo, Lv Yan, Jia-Yu Yin, Wang Zhen, Yuan-Hai Shao:
Fast support vector classifier with generalization-memorization kernel. ITQM 2022: 55-62 - [c14]Zhen-Qi Liu, Yuan-Hai Shao:
Learning using rebalanced statistical invariants for imbalanced classification. ITQM 2022: 203-211 - 2021
- [c13]Meng-Xian Zhu, Xiao-Jing Lv, Weijie Chen, Chun-Na Li, Yuan-Hai Shao:
Local density peaks clustering with small size distance matrix. ITQM 2021: 331-338 - [c12]Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao:
Divergent Projection Analysis for Unsupervised Dimensionality Reduction. ITQM 2021: 384-391 - 2017
- [c11]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. ICCS 2017: 1292-1301 - [c10]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. ITQM 2017: 407-414 - 2015
- [c9]Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng:
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. ICDM Workshops 2015: 1163-1170 - [c8]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. ITQM 2015: 944-952 - 2014
- [c7]Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng:
Proximal Classifier via Absolute Value Inequalities. ICDM Workshops 2014: 74-79 - [c6]Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng:
Weighted Linear Loss Support Vector Machine for Large Scale Problems. ITQM 2014: 639-647 - 2013
- [c5]Wei-Jie Chen
Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution. ITQM 2013: 33-40 - [c4]Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng:
Proximal Plane Clustering via Eigenvalues. ITQM 2013: 41-47 - [c3]Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao:
Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression. ITQM 2013: 514-522 - [c2]Yuan-Hai Shao, Wei-Jie Chen
The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. ITQM 2013: 1032-1038 - [c1]Zhi-Min Yang, Jun-Yun He, Yuan-Hai Shao:
Feature Selection Based On Linear Twin Support Vector Machines. ITQM 2013: 1039-1046
Informal and Other Publications
- 2024
- [i21]Ting-Ting Zhu, Yuan-Hai Shao, Chun-Na Li, Tian Liu:
Learning using granularity statistical invariants for classification. CoRR abs/2403.20122 (2024) - 2023
- [i20]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li:
CNTS: Cooperative Network for Time Series. CoRR abs/2302.09800 (2023) - [i19]Yafen Ye, Zhihu Xu, Jinhua Zhang, Weijie Chen, Yuanhai Shao:
Twin support vector quantile regression. CoRR abs/2305.03894 (2023) - [i18]Shuai Wang, Zhen Wang, Yuan-Hai Shao:
Least Squares Maximum and Weighted Generalization-Memorization Machines. CoRR abs/2308.16456 (2023) - 2022
- [i17]Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li:
Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss. CoRR abs/2203.00399 (2022) - [i16]Zhen Wang, Yuan-Hai Shao:
Generalization-Memorization Machines. CoRR abs/2207.03976 (2022) - [i15]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li, Wensi Wang:
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics. CoRR abs/2209.11766 (2022) - [i14]Meng-Xian Zhu, Yuan-Hai Shao:
Classification by estimating the cumulative distribution function for small data. CoRR abs/2210.05953 (2022) - 2021
- [i13]Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao:
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. CoRR abs/2104.08546 (2021) - [i12]Mohammad Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao:
Comprehensive Review On Twin Support Vector Machines. CoRR abs/2105.00336 (2021) - 2020
- [i11]Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng:
Multiple Flat Projections for Cross-manifold Clustering. CoRR abs/2002.06739 (2020) - [i10]Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng:
Principal Component Analysis Based on T𝓁1-norm Maximization. CoRR abs/2005.12263 (2020) - [i9]Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao:
Capped norm linear discriminant analysis and its applications. CoRR abs/2011.02147 (2020) - [i8]Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao:
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. CoRR abs/2011.05507 (2020) - 2019
- [i7]Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu:
A general model for plane-based clustering with loss function. CoRR abs/1901.09178 (2019) - [i6]Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng:
Single Versus Union: Non-parallel Support Vector Machine Frameworks. CoRR abs/1910.09734 (2019) - [i5]Huajun Wang, Yuan-Hai Shao, Shenglong Zhou
Support Vector Machine Classifier via L0/1 Soft-Margin Loss. CoRR abs/1912.07418 (2019) - 2018
- [i4]Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng:
Generalized two-dimensional linear discriminant analysis with regularization. CoRR abs/1801.07426 (2018) - [i3]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. CoRR abs/1811.02384 (2018) - [i2]Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao:
Ramp-based Twin Support Vector Clustering. CoRR abs/1812.03710 (2018) - 2017
- [i1]Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng:
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. CoRR abs/1704.05596 (2017)
Coauthor Index
Naiyang Deng
aka: Nai-Yang Deng
aka: Nai-Yang Deng
[j106] [j105] [j104] [j103] [j101] [j100] [j98] [j95] [j94] [j92] [j91] [j89] [j87] [j86] [j85] [j84] [j81] [j79] [j72] [j71] [j70] [j69] [j68] [j66] [j65] [j63] [j62] [j61] [j60] [j59] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j35] [j34] [j33] [j32] [j29] [j28] [j26] [j25] [j24] [c13] [c11] [c10] [c9] [c7] [i21] [i20] [i17] [i15] [i10] [i9] [i8] [i7] [i6] [i4] [i3] [i2]
Ya-Fen Ye
aka: Yafen Ye
aka: Yafen Ye
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