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Xiang-Yu Hua

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Xiang Yu Hua

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2020 – today

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2026
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Yan Ru Guo, Ting Ting Guo, Chun Na Li, Xiang Yu Hua:
Capped l_2,1-norm two-dimensional k-subspace clustering. Clust. Comput. 29(5): 277 (2026)
2025
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Yan Ru Guo, Xiang Fei Yang, Xiang-Yu Hua, Jun Pan:
Bilateral two-dimensional linear discriminant analysis and its applications. J. Supercomput. 81(1): 136 (2025)
2021
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Ya-Fen Ye, Yuan-Hai Shao, Chunna Li, Xiang-Yu Hua, Yan-Ru Guo:
Online support vector quantile regression for the dynamic time series with heavy-tailed noise. Appl. Soft Comput. 110: 107560 (2021)
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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 L_p-norm. Int. J. Intell. Syst. 36(2): 1108-1130 (2021)

2010 – 2019

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2017
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Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua:
Robust L_p-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305: 32-52 (2017)
2016
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Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao, Ya-Fen Ye:
A novel parametric-insensitive nonparallel support vector machine for regression. Neurocomputing 171: 649-663 (2016)
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Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Weighted Lagrange ε-twin support vector regression. Neurocomputing 197: 53-68 (2016)
2015
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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)
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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
2013
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Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng:
Proximal Plane Clustering via Eigenvalues. ITQM 2013: 41-47

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.