Jie Liu
Orcid: 0000-0002-0750-1030Affiliations:
- Huazhong University of Science and Technology, School of Hydropower and Information Engineering, Wuhan, China
- Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China (PhD 2018)
According to our database1,
Jie Liu
authored at least 43 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Expert Syst. Appl., 2025
2024
Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis.
IEEE Trans. Ind. Informatics, September, 2024
Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions.
IEEE Trans. Ind. Informatics, March, 2024
Spectral structure inducing efficient variational model for enhancing bearing fault feature.
Signal Process., March, 2024
A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis.
IEEE Trans. Ind. Informatics, February, 2024
Reinforcement Learning Formation Tracking of Networked Autonomous Surface Vehicles With Bounded Inputs via Cloud-Supported Communication.
IEEE Trans. Intell. Veh., January, 2024
Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation.
J. Intell. Manuf., January, 2024
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis.
Inf. Fusion, January, 2024
Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model.
Expert Syst. Appl., 2024
Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning.
Adv. Eng. Informatics, 2024
STFE-Net: A multi-stage approach to enhance statistical texture feature for defect detection on metal surfaces.
Adv. Eng. Informatics, 2024
2023
A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model.
Eng. Appl. Artif. Intell., November, 2023
Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning.
IEEE Trans. Ind. Informatics, August, 2023
Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions.
IEEE Trans. Ind. Informatics, July, 2023
Eng. Appl. Artif. Intell., May, 2023
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data.
J. Intell. Manuf., April, 2023
Hierarchical optimization for task-space bipartite coordination of multiple uncertain Lagrange plants.
Autom., March, 2023
IEEE Trans. Instrum. Meas., 2023
Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data.
Eng. Appl. Artif. Intell., 2023
2022
IEEE Trans. Instrum. Meas., 2022
Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis.
IEEE Trans. Ind. Electron., 2022
SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis.
IEEE Trans. Ind. Electron., 2022
An Ensemble Prognostic Method of Francis Turbine Units Using Low-Quality Data under Variable Operating Conditions.
Sensors, 2022
Knowl. Based Syst., 2022
2021
Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2021
Neurocomputing, 2021
Numerical Eigensolver for Solving Eigenmodes of Cavity Resonators Filled With both Electric and Magnetic Lossy, Anisotropic Media.
CoRR, 2021
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
2020
Data-Driven Fault Diagnosis Method Based on Compressed Sensing and Improved Multiscale Network.
IEEE Trans. Ind. Electron., 2020
Degradation Tendency Prediction for Pumped Storage Unit Based on Integrated Degradation Index Construction and Hybrid CNN-LSTM Model.
Sensors, 2020
Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media.
CoRR, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey-Markov Model.
Complex., 2019
2018
Neurocomputing, 2018
Vibration Tendency Prediction of Hydroelectric Generator Unit Based on Fast Ensemble Empirical Mode Decomposition and Kernel Extreme Learning Machine with Parameters Optimization.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018
2017
A Hybrid Generalized Hidden Markov Model-Based Condition Monitoring Approach for Rolling Bearings.
Sensors, 2017
Coordinated tracking for networked robotic systems via model-free controller-estimator algorithms.
J. Frankl. Inst., 2017
2015
An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators.
Proceedings of the ICINCO 2015, 2015
2014
Seam Tracking Control of Welding Robotic Manipulators Based on Adaptive Chattering-free Sliding-mode Control Technology.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1, 2014