Yong-Ping Zhao

36 papers Journal 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Time-balanced MSE for machinery imbalanced degradation trend prediction.
Expert Syst. Appl.
Yu-Qiang Wang, Yong-Ping Zhao, Tian-Ding Zhang, Yu-Wei Wang
2025 J jnl
A real-time onboard compressor stall warning method based on attention multiple sensors fusion and lightweight network.
Eng. Appl. Artif. Intell.
Hui-Jie Jin, Yong-Ping Zhao, Zhiqiang Wang
2025 J jnl
Multi-level and multi-scale cross attention network of wavelet packet transform for supersonic inlet unstart prediction.
Expert Syst. Appl.
Yu-Jie Wang, Yong-Ping Zhao, Yi Jin
2025 J jnl
Weighted class-aware matching adaptation network for aero-engine imbalanced multi-source cross-domain fault diagnosis under class shift.
Eng. Appl. Artif. Intell.
Yu-Qiang Wang, Yong-Ping Zhao, Bo-Yu Liang, Tian-Ding Zhang, Kuan-Xin Hou
2024 J jnl
A novel method for aero-engine time-series forecasting based on multi-resolution transformer.
Expert Syst. Appl.
Hui-Jie Jin, Yong-Ping Zhao, Mei-Na Pan
2024 J jnl
The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection.
Eng. Appl. Artif. Intell.
Yong-Ping Zhao, Wen Cai
2023 J jnl
A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis.
Eng. Appl. Artif. Intell.
Yu-Qiang Wang, Yong-Ping Zhao
2023 J jnl
Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation.
IEEE Access
Qiankun Hu, Yong-Ping Zhao, Lihua Ren
2023 J jnl
Remaining Useful Life Estimation in Prognostics Using Deep Reinforcement Learning.
IEEE Access
Qiankun Hu, Yong-Ping Zhao, Yuqiang Wang, Pei Peng, Lihua Ren
2023 J jnl
Robust semi-supervised discriminant embedding method with soft label in kernel space.
Neural Comput. Appl.
Pei Peng, Yong-Ping Zhao
2022 J jnl
Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet.
Eng. Appl. Artif. Intell.
Bing Li, Yong-Ping Zhao, Yao-Bin Chen
2022 J jnl
Simultaneous fault diagnosis for aircraft engine using multi-label learning.
J. Syst. Control. Eng.
Bing Li, Yong-Ping Zhao
2021 J jnl
A new dynamic radius SVDD for fault detection of aircraft engine.
Eng. Appl. Artif. Intell.
Yong-Ping Zhao, Yun-Long Xie, Zhi-Feng Ye
2021 J jnl
A novel neural network based on dynamic time warping and Kalman filter for real-time monitoring of supersonic inlet flow patterns.
Eng. Appl. Artif. Intell.
Huan Wu, Yong-Ping Zhao, Huijun Tan
2020 J jnl
A size-transferring radial basis function network for aero-engine thrust estimation.
Eng. Appl. Artif. Intell.
Yong-Ping Zhao, Zhi-Qiang Li, Qiankun Hu
2020 J jnl
An improved weighted one class support vector machine for turboshaft engine fault detection.
Eng. Appl. Artif. Intell.
Yong-Ping Zhao, Gong Huang, Qiankun Hu, Bing Li
2020 J jnl
Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine.
Eng. Appl. Artif. Intell.
Bing Li, Yong-Ping Zhao
2018 J jnl
Feature selection of generalized extreme learning machine for regression problems.
Neurocomputing
Yong-Ping Zhao, Ying-Ting Pan, Fang-Quan Song, Liguo Sun, Tinghao Chen
2018 J jnl
Sparse kernel minimum squared error using Householder transformation and givens rotation.
Appl. Intell.
Yong-Ping Zhao, Peng-Peng Xi, Bing Li, Zhi-Qiang Li
2017 J jnl
A method of combining forward with backward greedy algorithms for sparse approximation to KMSE.
Soft Comput.
Yong-Ping Zhao, Dong Liang, Zheng Ji
2017 J jnl
Gram-Schmidt process based incremental extreme learning machine.
Neurocomputing
Yong-Ping Zhao, Zhi-Qiang Li, Peng-Peng Xi, Dong Liang, Liguo Sun, Tinghao Chen
2016 J jnl
Improvements on parsimonious extreme learning machine using recursive orthogonal least squares.
Neurocomputing
Yong-Ping Zhao, Ramón Huerta
2016 J jnl
Parsimonious kernel extreme learning machine in primal via Cholesky factorization.
Neural Networks
Yong-Ping Zhao
2015 J jnl
A pruning method of refining recursive reduced least squares support vector regression.
Inf. Sci.
Yong-Ping Zhao, Kang-Kang Wang, Fu Li
2015 J jnl
An accelerating scheme for destructive parsimonious extreme learning machine.
Neurocomputing
Yong-Ping Zhao, Bing Li, Ye-Bo Li
2015 J jnl
Householder transformation based sparse least squares support vector regression.
Neurocomputing
Yong-Ping Zhao, Bing Li, Ye-Bo Li, Kang-Kang Wang
2015 J jnl
Parsimonious regularized extreme learning machine based on orthogonal transformation.
Neurocomputing
Yong-Ping Zhao, Kang-Kang Wang, Ye-Bo Li
2014 J jnl
Incremental kernel minimum squared error (KMSE).
Inf. Sci.
Yong-Ping Zhao, Kang-Kang Wang, Jie Liu, Ramón Huerta
2013 J jnl
Twin least squares support vector regression.
Neurocomputing
Yong-Ping Zhao, Jing Zhao, Min Zhao
2012 J jnl
An improved recursive reduced least squares support vector regression.
Neurocomputing
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Yu-Chen Zhang, Haibo Zhang
2012 J jnl
Online independent reduced least squares support vector regression.
Inf. Sci.
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Ye-Bo Li
2011 J jnl
A fast method of feature extraction for kernel MSE.
Neurocomputing
Yong-Ping Zhao, Zhong-Hua Du, Zhi-An Zhang, Haibo Zhang
2011 J jnl
Multikernel semiparametric linear programming support vector regression.
Expert Syst. Appl.
Yong-Ping Zhao, Jian-Guo Sun
2011 J jnl
Pruning least objective contribution in KMSE.
Neurocomputing
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Haibo Zhang
2010 J jnl
Reducing samples for accelerating multikernel semiparametric support vector regression.
Expert Syst. Appl.
Yong-Ping Zhao, Jian-Guo Sun, Xian-Quan Zou
2010 J jnl
Robust truncated support vector regression.
Expert Syst. Appl.
Yong-Ping Zhao, Jian-Guo Sun