Yong-Ping Zhao

Orcid: 0000-0003-3310-1329

According to our database¹, Yong-Ping Zhao authored at least 31 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Wen Cai

Eng. Appl. Artif. Intell., January, 2024

2023

Robust semi-supervised discriminant embedding method with soft label in kernel space.

[BibT_eX]

[DOI]

Pei Peng

Yong-Ping Zhao

Neural Comput. Appl., April, 2023

A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis.

[BibT_eX]

[DOI]

Yu-Qiang Wang

Yong-Ping Zhao

Eng. Appl. Artif. Intell., 2023

Remaining Useful Life Estimation in Prognostics Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Access, 2023

Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation.

[BibT_eX]

[DOI]

Qiankun Hu

Yong-Ping Zhao

Lihua Ren

IEEE Access, 2023

2022

Simultaneous fault diagnosis for aircraft engine using multi-label learning.

[BibT_eX]

[DOI]

Bing Li

Yong-Ping Zhao

J. Syst. Control. Eng., 2022

Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet.

[BibT_eX]

[DOI]

Bing Li

Yong-Ping Zhao

Yao-Bin Chen

Eng. Appl. Artif. Intell., 2022

2021

A new dynamic radius SVDD for fault detection of aircraft engine.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Yun-Long Xie

Zhi-Feng Ye

Eng. Appl. Artif. Intell., 2021

A novel neural network based on dynamic time warping and Kalman filter for real-time monitoring of supersonic inlet flow patterns.

[BibT_eX]

[DOI]

Huan Wu

Yong-Ping Zhao

Huijun Tan

Eng. Appl. Artif. Intell., 2021

2020

A size-transferring radial basis function network for aero-engine thrust estimation.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Zhi-Qiang Li

Qian-Kun Hu

Eng. Appl. Artif. Intell., 2020

An improved weighted one class support vector machine for turboshaft engine fault detection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine.

[BibT_eX]

[DOI]

Bing Li

Yong-Ping Zhao

Eng. Appl. Artif. Intell., 2020

2018

Feature selection of generalized extreme learning machine for regression problems.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Sparse kernel minimum squared error using Householder transformation and givens rotation.

[BibT_eX]

[DOI]

Appl. Intell., 2018

2017

A method of combining forward with backward greedy algorithms for sparse approximation to KMSE.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Dong Liang

Zheng Ji

Soft Comput., 2017

Gram-Schmidt process based incremental extreme learning machine.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2016

Parsimonious kernel extreme learning machine in primal via Cholesky factorization.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Neural Networks, 2016

Improvements on parsimonious extreme learning machine using recursive orthogonal least squares.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Ramón Huerta

Neurocomputing, 2016

2015

A pruning method of refining recursive reduced least squares support vector regression.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Kang-Kang Wang

Fu Li

Inf. Sci., 2015

Parsimonious regularized extreme learning machine based on orthogonal transformation.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Kang-Kang Wang

Ye-Bo Li

Neurocomputing, 2015

Householder transformation based sparse least squares support vector regression.

[BibT_eX]

[DOI]

Neurocomputing, 2015

An accelerating scheme for destructive parsimonious extreme learning machine.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Bing Li

Ye-Bo Li

Neurocomputing, 2015

2014

Incremental kernel minimum squared error (KMSE).

[BibT_eX]

[DOI]

Inf. Sci., 2014

2013

Twin least squares support vector regression.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Jing Zhao

Min Zhao

Neurocomputing, 2013

2012

Online independent reduced least squares support vector regression.

[BibT_eX]

[DOI]

Inf. Sci., 2012

An improved recursive reduced least squares support vector regression.

[BibT_eX]

[DOI]

Neurocomputing, 2012

2011

Pruning least objective contribution in KMSE.

[BibT_eX]

[DOI]

Neurocomputing, 2011

A fast method of feature extraction for kernel MSE.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Multikernel semiparametric linear programming support vector regression.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Jian-Guo Sun

Expert Syst. Appl., 2011

2010

Reducing samples for accelerating multikernel semiparametric support vector regression.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Jian-Guo Sun

Xian-Quan Zou

Expert Syst. Appl., 2010

Robust truncated support vector regression.

[BibT_eX]

[DOI]

Yong-Ping Zhao

Jian-Guo Sun

Expert Syst. Appl., 2010

Yong-Ping Zhao

Timeline

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On csauthors.net:

Bibliography

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