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ORCIDYongqiao Wang
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2020 – today
- 2023
[j20]Yongqiao Wang, He Ni, Stan Uryasev:
Buffered-ranking intervals for virtual profit efficiency analysis. Central Eur. J. Oper. Res. 31(4): 1149-1181 (2023)- 2022
- [j19]Yongqiao Wang, He Ni:
Shape-constrained nonparametric estimation of the term structure of interest rates. J. Intell. Fuzzy Syst. 43(4): 4835-4847 (2022) - [j18]Qiming Zhao, Lin Yang, Yongqiao Wang:
Geometry of Developable Surfaces of Frenet Type Framed Base Curves from the Singularity Theory Viewpoint. Symmetry 14(5): 975 (2022) - [j17]Yongqiao Wang
, Lin Yang, Pengcheng Li, Yuan Chang:
Singularities of Osculating Developable Surfaces of Timelike Surfaces along Curves. Symmetry 14(11): 2251 (2022) - [j16]Yongqiao Wang, Lin Yang, Yuxin Liu, Yuan Chang:
Singularities for Focal Sets of Timelike Sabban Curves in de Sitter 3-Space. Symmetry 14(12): 2471 (2022) - 2020
- [c2]Yongqiao Wang, Xudong Liu:
Multivariate Probability Calibration with Isotonic Bernstein Polynomials. IJCAI 2020: 2547-2553
2010 – 2019
- 2019
- [j15]Yongqiao Wang, Lishuai Li, Chuangyin Dang:
Calibrating Classification Probabilities with Shape-Restricted Polynomial Regression. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1813-1827 (2019) - [j14]Qiming Zhao, Donghe Pei, Yongqiao Wang:
Singularities for One-Parameter Developable Surfaces of Curves. Symmetry 11(1): 108 (2019) - 2015
- [j13]Yongqiao Wang, Chuangyin Dang, Shouyang Wang:
Robust Novelty Detection via Worst Case CVaR Minimization. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2098-2110 (2015) - 2014
- [j12]Yongqiao Wang, Shouyang Wang, Chuangyin Dang, Wenxiu Ge:
Nonparametric quantile frontier estimation under shape restriction. Eur. J. Oper. Res. 232(3): 671-678 (2014) - 2013
- [j11]He Ni, Yongqiao Wang:
Stock index tracking by Pareto efficient genetic algorithm. Appl. Soft Comput. 13(12): 4519-4535 (2013) - [j10]Yongqiao Wang:
Modeling financial dependence with support vector regression. Intell. Data Anal. 17(2): 233-249 (2013) - [j9]Yongqiao Wang, He Ni, Shouyang Wang:
Multiple-v support vector regression based on spectral risk measure minimization. Neurocomputing 101: 217-228 (2013) - [j8]Yongqiao Wang, Shouyang Wang:
Estimating ά-frontier technical efficiency with shape-restricted kernel quantile regression. Neurocomputing 101: 243-251 (2013) - [j7]Yongqiao Wang:
Smooth Nonparametric Copula Estimation with Least Squares Support Vector Regression. Neural Process. Lett. 38(1): 81-96 (2013) - 2012
- [j6]Yongqiao Wang, He Ni:
Multivariate convex support vector regression with semidefinite programming. Knowl. Based Syst. 30: 87-94 (2012) - [j5]Yongqiao Wang, He Ni, Shouyang Wang:
Nonparametric bivariate copula estimation based on shape-restricted support vector regression. Knowl. Based Syst. 35: 235-244 (2012) - [j4]Yongqiao Wang:
Robust ν-support vector machine based on worst-case conditional value-at-risk minimization. Optim. Methods Softw. 27(6): 1025-1038 (2012) - 2011
- [j3]Yongqiao Wang, Shouyang Wang, K. K. Lai:
Measuring financial risk with generalized asymmetric least squares regression. Appl. Soft Comput. 11(8): 5793-5800 (2011)
2000 – 2009
- 2008
- [j2]Yongqiao Wang, Xun Zhang, Shouyang Wang, K. K. Lai:
Nonlinear clustering-based support vector machine for large data sets. Optim. Methods Softw. 23(4): 533-549 (2008) - [c1]Yongqiao Wang:
Building Credit Scoring Systems Based on Support-Based Support Vector Machine Ensemble. ICNC (5) 2008: 323-327 - 2005
- [j1]Yongqiao Wang, Shouyang Wang, Kin Keung Lai:
A new fuzzy support vector machine to evaluate credit risk. IEEE Trans. Fuzzy Syst. 13(6): 820-831 (2005)
Coauthor Index
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