Junxiao Ren

16 papers B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Corrigendum to "Remaining useful life prediction based on degradation-aware dynamic graph representation learning" [Eng. Appl. Artifi. Intell. 163 5 2026 113140].
Eng. Appl. Artif. Intell.
Qiang Li, Xing Xiong, Junxiao Ren
2026 J jnl
Dual-stream symbiotic architecture: Mitigating rotational speed domain feature distribution shift for adaptive bearing fault diagnosis.
Neurocomputing
Xuefeng Gao, Qiang Li, Junxiao Ren, Junlin Li, Yuhao Jiang
2026 J jnl
Learnable Daubechies wavelet neural layers: A novel fault diagnosis architecture for high-speed train under severe noise condition.
Eng. Appl. Artif. Intell.
Junxiao Ren, Xuefeng Gao, Qiang Li, Junlin Li
2026 J jnl
Remaining useful life prediction based on degradation-aware dynamic graph representation learning.
Eng. Appl. Artif. Intell.
Qiang Li, Xing Xiong, Junxiao Ren
2025 J jnl
A cross-domain multi-scale feature fusion network based on graph convolution for intelligent fault diagnosis.
Eng. Appl. Artif. Intell.
Quanyu Zhong, Qiang Li, Junxiao Ren, Xin Chen, Dong Liu, Qiang Yang
2025 J jnl
A multi-scale integrated learning model with attention mechanisms for UAV audio signal detection.
Signal Image Video Process.
Junlin Li, Ji Zhao, Junxiao Ren, Xuefeng Gao, Zengyan Li
2025 J jnl
Hesitant Fuzzy Multi-Granulation Rough Set Model Based on Similarity Assessment.
Symmetry
Junxiao Ren, Bo Cao
2025 B conf
PEC-GAT: A Context-Aware Gated Transformer for Intelligent Bearing Life Prediction with Multi-Scale Position-Encoded Convolutions.
ICPADS
Xing Xiong, Junxiao Ren, Qiang Li, Chengxi Cao
2024 J jnl
Enhancing Adversarial Robustness for High-Speed Train Bogie Fault Diagnosis Based on Adversarial Training and Residual Perturbation Inversion.
IEEE Trans. Ind. Informatics
Desheng Wang, Weidong Jin, Yunpu Wu, Junxiao Ren
2023 J jnl
A grouping-attention convolutional neural network for performance degradation estimation of high-speed train lateral damper.
Appl. Intell.
Junxiao Ren, Weidong Jin, Yunpu Wu, Zhang Sun
2023 J jnl
A novel low-complexity model predictive control for Vienna rectifier.
Int. J. Circuit Theory Appl.
Zhang Sun, Weidong Jin, Fan Wu, Qi Han, Kun Guan, Junxiao Ren
2023 J jnl
Research on Performance Degradation Estimation of Key Components of High-Speed Train Bogie Based on Multi-Task Learning.
Entropy
Junxiao Ren, Weidong Jin, Yunpu Wu, Zhang Sun, Liang Li
2022 — conf
Research on Small Target Detection Algorithm of Catenary Based on DA-YOLOv4.
CNIOT
Bo Li, Weidong Jin, Junxiao Ren
2021 J jnl
Detecting Unexpected Faults of High-Speed Train Bogie Based on Bayesian Deep Learning.
IEEE Trans. Veh. Technol.
Yunpu Wu, Weidong Jin, Yan Li, Zhang Sun, Junxiao Ren
2020 J jnl
A CNN-Based Structure for Performance Degradation Estimation of High-Speed Train Lateral Damper.
IEEE Access
Junxiao Ren, Weidong Jin, Yunpu Wu
2019 J jnl
A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure.
Appl. Intell.
Yunpu Wu, Weidong Jin, Junxiao Ren, Zhang Sun