VLDB 2026 Research / reviewers in the wild / expert
Yu Yang 0009
dblp:16/4505-9
· DBLP profile ↗
20ranked-venue papers
0as first author
8since 2021 · last 2026
0000-0001-9113-6023ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 13 · 4 since 2021Databases, data management, data science and information retrieval · 4 · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Spectrum-envelope attention-driven adaptive time-frequency enhancement network and its application in trustworthy cross-machine fault diagnosis
Zhengyang Cheng, Junsheng Cheng, Yu Yang 0009 |
Eng. Appl. Artif. Intell. | 5 |
| 2025 | Adaptive reconstruct feature difference network for open set domain generalization fault diagnosis
Zhe Cheng 0001, Yu Yang 0009, Niaoqing Hu, Guoji Shen, Yi Yang 0062 |
Eng. Appl. Artif. Intell. | 3 |
| 2025 | A reliable degradation prediction method for proton exchange membrane fuel cells based on uncertainty Bayesian self-attention
Zhe Cheng 0001, Yu Yang 0009, Niaoqing Hu, Guoji Shen, Yi Yang 0062 |
Eng. Appl. Artif. Intell. | 3 |
| 2024 | A novel empirical random feature decomposition method and its application to gear fault diagnosis
Junsheng Cheng, Niaoqing Hu, Zhe Cheng 0001, Yu Yang 0009 |
Adv. Eng. Informatics | 5 |
| 2022 | Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix
Xin Li 0095, Yu Yang 0009, Niaoqing Hu, Zhe Cheng 0001, Haidong Shao, Junsheng Cheng |
Adv. Eng. Informatics | 2 |
| 2022 | Sparse random projection-based hyperdisk classifier for bevel gearbox fault diagnosis
Zuanyu Zhu, Yu Yang 0009, Niaoqing Hu, Zhe Cheng 0001, Junsheng Cheng |
Adv. Eng. Informatics | 2 |
| 2022 | Ramanujan Fourier Mode Decomposition and Its Application in Gear Fault DiagnosisabstractAs an important part of rotating machinery, gear is easy to appear some unexpected fault states, and its fault diagnosis is very important. Fourier decomposition method (FDM) is a common method for gear fault diagnosis, but the noise robustness, period recognition, and extraction capabilities of FDM are unsatisfactory. Based on this, in this article, Ramanujan Fourier mode decomposition (RFMD) method is proposed. The RFMD not only has a complete mathematical theory foundation but also has an excellent ability to identify and extract periodic components. Emulational and experimental results of planetary gearbox show that the RFMD method has good noise robustness and can accurately extract gear fault characteristic information. Thus, it is an effective gear fault diagnosis method. Yu Yang 0009, Wu Zhantao, Haidong Shao, Haiyang Pan, Junsheng Cheng |
IEEE Trans. Ind. Informatics | 2 |
| 2021 | Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis
Xin Li 0095, Yu Yang 0009, Niaoqing Hu, Zhe Cheng 0001, Junsheng Cheng |
Knowl. Based Syst. | 2 |
| 2020 | An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE
Haidong Shao, Yu Yang 0009, Junsheng Cheng |
Adv. Eng. Informatics | 4 |
| 2020 | Symplectic interactive support matrix machine and its application in roller bearing condition monitoring
Haiyang Pan, Yu Yang 0009, Jinde Zheng, Xin Li 0095, Junsheng Cheng |
Neurocomputing | 2 |
| 2020 | Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples
Haidong Shao, Jing Lin 0003, Junsheng Cheng, Yu Yang 0009 |
Knowl. Based Syst. | 6 |
| 2020 | Extensible and displaceable hyperdisk based classifier for gear fault intelligent diagnosis
Tianzhen Hu, Junsheng Cheng, Yu Yang 0009 |
Knowl. Based Syst. | 5 |
| 2020 | Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing
Haidong Shao, Junsheng Cheng, Hongkai Jiang, Yu Yang 0009, Wu Zhantao |
Knowl. Based Syst. | 4 |
| 2019 | An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis
Wenyi Huang, Junsheng Cheng, Yu Yang 0009, Gaoyuan Guo |
Neurocomputing | 3 |
| 2019 | Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings
Junsheng Cheng, Yu Yang 0009 |
Knowl. Based Syst. | 4 |
| 2016 | A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine
Ming Zeng 0005, Yu Yang 0009, Junsheng Cheng |
Knowl. Based Syst. | 2 |
| 2015 | Maximum margin classification based on flexible convex hulls
Ming Zeng 0005, Yu Yang 0009, Jinde Zheng, Junsheng Cheng |
Neurocomputing | 2 |
| 2015 | A generalized Gilbert algorithm and an improved MIES for one-class support vector machine
Ming Zeng 0005, Yu Yang 0009, Junsheng Cheng |
Knowl. Based Syst. | 2 |
| 2014 | Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing
Jinde Zheng, Junsheng Cheng, Yu Yang 0009 |
Signal Process. | 3 |
| 2009 | Application of the improved generalized demodulation time-frequency analysis method to multi-component signal decomposition
Junsheng Cheng, Yu Yang 0009, Dejie Yu |
Signal Process. | 2 |