VLDB 2026 Research / reviewers in the wild / expert
Yong-Ping Zhao
dblp:89/8042
· DBLP profile ↗
33ranked-venue papers
23as first author
11since 2021 · last 2026
0000-0003-3310-1329ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 30 · 20 first-author · 11 since 2021Databases, data management, data science and information retrieval · 3 · 3 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Time-balanced MSE for machinery imbalanced degradation trend prediction
Yu-Qiang Wang, Yong-Ping Zhao, Tian-Ding Zhang, Yu-Wei Wang |
Expert Syst. Appl. | 2 |
| 2025 | A real-time onboard compressor stall warning method based on attention multiple sensors fusion and lightweight network
Hui-Jie Jin, Yong-Ping Zhao |
Eng. Appl. Artif. Intell. | 2 |
| 2025 | Weighted class-aware matching adaptation network for aero-engine imbalanced multi-source cross-domain fault diagnosis under class shift
Yu-Qiang Wang, Yong-Ping Zhao, Bo-Yu Liang, Tian-Ding Zhang, Kuan-Xin Hou |
Eng. Appl. Artif. Intell. | 2 |
| 2025 | Multi-level and multi-scale cross attention network of wavelet packet transform for supersonic inlet unstart prediction
Yong-Ping Zhao |
Expert Syst. Appl. | 2 |
| 2024 | The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection
Yong-Ping Zhao, Wen Cai |
Eng. Appl. Artif. Intell. | 1 |
| 2024 | A novel method for aero-engine time-series forecasting based on multi-resolution transformer
Hui-Jie Jin, Yong-Ping Zhao, Mei-Na Pan |
Expert Syst. Appl. | 2 |
| 2023 | A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis
Yu-Qiang Wang, Yong-Ping Zhao |
Eng. Appl. Artif. Intell. | 2 |
| 2023 | Robust semi-supervised discriminant embedding method with soft label in kernel space
Pei Peng 0005, Yong-Ping Zhao |
Neural Comput. Appl. | 2 |
| 2022 | Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet
Yong-Ping Zhao, Yao-Bin Chen |
Eng. Appl. Artif. Intell. | 2 |
| 2021 | A novel neural network based on dynamic time warping and Kalman filter for real-time monitoring of supersonic inlet flow patterns
Yong-Ping Zhao, Huijun Tan |
Eng. Appl. Artif. Intell. | 2 |
| 2021 | A new dynamic radius SVDD for fault detection of aircraft engine
Yong-Ping Zhao, Yun-Long Xie, Zhi-Feng Ye |
Eng. Appl. Artif. Intell. | 1 |
| 2020 | Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine
Bing Li 0032, Yong-Ping Zhao |
Eng. Appl. Artif. Intell. | 2 |
| 2020 | An improved weighted one class support vector machine for turboshaft engine fault detection
Yong-Ping Zhao, Gong Huang, Qiankun Hu |
Eng. Appl. Artif. Intell. | 1 |
| 2020 | A size-transferring radial basis function network for aero-engine thrust estimation
Yong-Ping Zhao, Qiankun Hu |
Eng. Appl. Artif. Intell. | 1 |
| 2018 | Sparse kernel minimum squared error using Householder transformation and givens rotation
Yong-Ping Zhao, Peng-Peng Xi |
Appl. Intell. | 1 |
| 2018 | Feature selection of generalized extreme learning machine for regression problems
Yong-Ping Zhao, Ying-Ting Pan, Fang-Quan Song, Liguo Sun, Tinghao Chen |
Neurocomputing | 1 |
| 2017 | Gram-Schmidt process based incremental extreme learning machine
Yong-Ping Zhao, Peng-Peng Xi, Liguo Sun, Tinghao Chen |
Neurocomputing | 1 |
| 2017 | A method of combining forward with backward greedy algorithms for sparse approximation to KMSE
Yong-Ping Zhao, Zheng Ji |
Soft Comput. | 1 |
| 2016 | Improvements on parsimonious extreme learning machine using recursive orthogonal least squares
Yong-Ping Zhao, Ramón Huerta |
Neurocomputing | 1 |
| 2016 | Parsimonious kernel extreme learning machine in primal via Cholesky factorization
Yong-Ping Zhao |
Neural Networks | 1 |
| 2015 | An accelerating scheme for destructive parsimonious extreme learning machine
Yong-Ping Zhao, Ye-Bo Li |
Neurocomputing | 1 |
| 2015 | Householder transformation based sparse least squares support vector regression
Yong-Ping Zhao, Ye-Bo Li, Kang-Kang Wang |
Neurocomputing | 1 |
| 2015 | Parsimonious regularized extreme learning machine based on orthogonal transformation
Yong-Ping Zhao, Kang-Kang Wang, Ye-Bo Li |
Neurocomputing | 1 |
| 2015 | A pruning method of refining recursive reduced least squares support vector regression
Yong-Ping Zhao, Kang-Kang Wang |
Inf. Sci. | 1 |
| 2014 | Incremental kernel minimum squared error (KMSE)
Yong-Ping Zhao, Kang-Kang Wang, Ramón Huerta |
Inf. Sci. | 1 |
| 2013 | Twin least squares support vector regression
Yong-Ping Zhao |
Neurocomputing | 1 |
| 2012 | An improved recursive reduced least squares support vector regression
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Yu-Chen Zhang, Haibo Zhang 0004 |
Neurocomputing | 1 |
| 2012 | Online independent reduced least squares support vector regression
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Ye-Bo Li |
Inf. Sci. | 1 |
| 2011 | Multikernel semiparametric linear programming support vector regression
Yong-Ping Zhao, Jian-Guo Sun |
Expert Syst. Appl. | 1 |
| 2011 | A fast method of feature extraction for kernel MSE
Yong-Ping Zhao, Zhong-Hua Du, Zhi-An Zhang, Haibo Zhang 0004 |
Neurocomputing | 1 |
| 2011 | Pruning least objective contribution in KMSE
Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Haibo Zhang 0004 |
Neurocomputing | 1 |
| 2010 | Robust truncated support vector regression
Yong-Ping Zhao, Jian-Guo Sun |
Expert Syst. Appl. | 1 |
| 2010 | Reducing samples for accelerating multikernel semiparametric support vector regression
Yong-Ping Zhao, Jian-Guo Sun, Xian-Quan Zou |
Expert Syst. Appl. | 1 |