Yong-Ping Zhao

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Extreme Learning Machine

Perceptron Algorithm

Fault Diagnosis

Top Venues

Eng. Appl. Artif. Intell.

Publications

Hui-Jie Jin, Yong-Ping Zhao, Mei-Na Pan
A novel method for aero-engine time-series forecasting based on multi-resolution transformer. Expert Syst. Appl. 255 (2024)
Yong-Ping Zhao, Wen Cai
The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Yu-Qiang Wang, Yong-Ping Zhao
A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Qiankun Hu, Yong-Ping Zhao, Yuqiang Wang, Pei Peng, Lihua Ren
Remaining Useful Life Estimation in Prognostics Using Deep Reinforcement Learning. IEEE Access 11 (2023)
Pei Peng, Yong-Ping Zhao
Robust semi-supervised discriminant embedding method with soft label in kernel space. Neural Comput. Appl. 35 (11) (2023)
Qiankun Hu, Yong-Ping Zhao, Lihua Ren
Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation. IEEE Access 11 (2023)
Bing Li, Yong-Ping Zhao, Yao-Bin Chen
Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet. Eng. Appl. Artif. Intell. 111 (2022)
Bing Li, Yong-Ping Zhao
Simultaneous fault diagnosis for aircraft engine using multi-label learning. J. Syst. Control. Eng. 236 (7) (2022)
Yong-Ping Zhao, Yun-Long Xie, Zhi-Feng Ye
A new dynamic radius SVDD for fault detection of aircraft engine. Eng. Appl. Artif. Intell. 100 (2021)
Huan Wu, Yong-Ping Zhao, Huijun Tan
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. 102 (2021)
Yong-Ping Zhao, Gong Huang, Qian-Kun Hu, Bing Li
An improved weighted one class support vector machine for turboshaft engine fault detection. Eng. Appl. Artif. Intell. 94 (2020)
Yong-Ping Zhao, Zhi-Qiang Li, Qian-Kun Hu
A size-transferring radial basis function network for aero-engine thrust estimation. Eng. Appl. Artif. Intell. 87 (2020)
Bing Li, Yong-Ping Zhao
Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine. Eng. Appl. Artif. Intell. 96 (2020)
Yong-Ping Zhao, Peng-Peng Xi, Bing Li, Zhi-Qiang Li
Sparse kernel minimum squared error using Householder transformation and givens rotation. Appl. Intell. 48 (2) (2018)
Yong-Ping Zhao, Ying-Ting Pan, Fang-Quan Song, Liguo Sun, Tinghao Chen
Feature selection of generalized extreme learning machine for regression problems. Neurocomputing 275 (2018)
Yong-Ping Zhao, Dong Liang, Zheng Ji
A method of combining forward with backward greedy algorithms for sparse approximation to KMSE. Soft Comput. 21 (9) (2017)
Yong-Ping Zhao, Zhi-Qiang Li, Peng-Peng Xi, Dong Liang, Liguo Sun, Tinghao Chen
Gram-Schmidt process based incremental extreme learning machine. Neurocomputing 241 (2017)
Yong-Ping Zhao, Ramón Huerta
Improvements on parsimonious extreme learning machine using recursive orthogonal least squares. Neurocomputing 191 (2016)
Yong-Ping Zhao
Parsimonious kernel extreme learning machine in primal via Cholesky factorization. Neural Networks 80 (2016)
Yong-Ping Zhao, Kang-Kang Wang, Fu Li
A pruning method of refining recursive reduced least squares support vector regression. Inf. Sci. 296 (2015)
Yong-Ping Zhao, Bing Li, Ye-Bo Li
An accelerating scheme for destructive parsimonious extreme learning machine. Neurocomputing 167 (2015)
Yong-Ping Zhao, Bing Li, Ye-Bo Li, Kang-Kang Wang
Householder transformation based sparse least squares support vector regression. Neurocomputing 161 (2015)
Yong-Ping Zhao, Kang-Kang Wang, Ye-Bo Li
Parsimonious regularized extreme learning machine based on orthogonal transformation. Neurocomputing 156 (2015)
Yong-Ping Zhao, Kang-Kang Wang, Jie Liu, Ramón Huerta
Incremental kernel minimum squared error (KMSE). Inf. Sci. 270 (2014)
Yong-Ping Zhao, Jing Zhao, Min Zhao
Twin least squares support vector regression. Neurocomputing 118 (2013)
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Ye-Bo Li
Online independent reduced least squares support vector regression. Inf. Sci. 201 (2012)
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Yu-Chen Zhang, Haibo Zhang
An improved recursive reduced least squares support vector regression. Neurocomputing 87 (2012)
Yong-Ping Zhao, Jian-Guo Sun
Multikernel semiparametric linear programming support vector regression. Expert Syst. Appl. 38 (3) (2011)
Yong-Ping Zhao, Zhong-Hua Du, Zhi-An Zhang, Haibo Zhang
A fast method of feature extraction for kernel MSE. Neurocomputing 74 (10) (2011)
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Haibo Zhang
Pruning least objective contribution in KMSE. Neurocomputing 74 (17) (2011)
Yong-Ping Zhao, Jian-Guo Sun, Xian-Quan Zou
Reducing samples for accelerating multikernel semiparametric support vector regression. Expert Syst. Appl. 37 (6) (2010)
Yong-Ping Zhao, Jian-Guo Sun
Robust truncated support vector regression. Expert Syst. Appl. 37 (7) (2010)