Jie Liu

According to our database, Jie Liu authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions.

Zenghui An, Xingxing Jiang, Jie Liu

IEEE Trans. Ind. Informatics, March, 2024

Spectral structure inducing efficient variational model for enhancing bearing fault feature.

Xin Wang, Xingxing Jiang, Qiuyu Song, Jie Liu, Jianfeng Guo, Zhongkui Zhu

Signal Process., March, 2024

A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis.

Chaoying Yang, Jie Liu, Qi Xu, Kaibo Zhou

IEEE Trans. Ind. Informatics, February, 2024

Reinforcement Learning Formation Tracking of Networked Autonomous Surface Vehicles With Bounded Inputs via Cloud-Supported Communication.

Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Leimin Wang, Jie Liu

IEEE Trans. Intell. Veh., January, 2024

Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation.

Chaoying Yang, Jie Liu, Kaibo Zhou, Xinyu Li

J. Intell. Manuf., January, 2024

Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis.

Xingxing Jiang, Xuegang Li, Qian Wang, Qiuyu Song, Jie Liu, Zhongkui Zhu

Inf. Fusion, January, 2024

2023

Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning.

Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang

IEEE Trans. Ind. Informatics, August, 2023

Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions.

Zenghui An, Xingxing Jiang, Rui Yang, Hanyuan Zhang, Jie Liu, Changqing Shen

IEEE Trans. Ind. Informatics, July, 2023

A meta-path graph-based graph homogenization framework for machine fault diagnosis.

Chaoying Yang, Jie Liu, Kaibo Zhou, Xiaohui Yuan, Xingxing Jiang

Eng. Appl. Artif. Intell., May, 2023

Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data.

Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu

J. Intell. Manuf., April, 2023

Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis.

Mengliang Zhu, Xiangyu Zeng, Jie Liu, Chaoying Yang, Kaibo Zhou

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.

Xin Zhang, Xi Zhang, Jie Liu, Bo Wu, Youmin Hu

Eng. Appl. Artif. Intell., 2023

2022

A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method.

Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang, Ming-Feng Ge, Yiben Liu

IEEE Trans. Instrum. Meas., 2022

Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.

Qiuyu Song, Xingxing Jiang, Jie Liu, Xin Wang, Guifu Du, Jianying Zheng, Zhongkui Zhu

IEEE Trans. Instrum. Meas., 2022

Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis.

Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu

IEEE Trans. Ind. Electron., 2022

SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis.

Chaoying Yang, Kaibo Zhou, Jie Liu

IEEE Trans. Ind. Electron., 2022

An Ensemble Prognostic Method of Francis Turbine Units Using Low-Quality Data under Variable Operating Conditions.

Ran Duan, Jie Liu, Jianzhong Zhou, Pei Wang, Wei Liu

Sensors, 2022

Transferable graph features-driven cross-domain rotating machinery fault diagnosis.

Chaoying Yang, Jie Liu, Kaibo Zhou, Ming-Feng Ge, Xingxing Jiang

Knowl. Based Syst., 2022

2021

Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images.

Kaibo Zhou, Zhixin Zhang, Changxin Gao, Jie Liu

IEEE Geosci. Remote. Sens. Lett., 2021

Deep convolutional neural network-based Bernoulli heatmap for head pose estimation.

Zhongxu Hu, Yang Xing, Chen Lv, Peng Hang, Jie Liu

Neurocomputing, 2021

Numerical Eigensolver for Solving Eigenmodes of Cavity Resonators Filled With both Electric and Magnetic Lossy, Anisotropic Media.

Wei Jiang, Jie Liu, Shiling Zheng

CoRR, 2021

An Improved TCN-Based Network Combining RLS for Bearings-Only Target Tracking.

Yingqi Zhao, Jie Liu, Kaibo Zhou, Qi Xu

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.

Zhongxu Hu, Yan Wang, Ming-Feng Ge, Jie Liu

IEEE Trans. Ind. Electron., 2020

Degradation Tendency Prediction for Pumped Storage Unit Based on Integrated Degradation Index Construction and Hybrid CNN-LSTM Model.

Jianzhong Zhou, Yahui Shan, Jie Liu, Yanhe Xu, Yang Zheng

Sensors, 2020

Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media.

Wei Jiang, Jie Liu

CoRR, 2020

A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet.

Guan-Nan Cao, Kaifeng Zhang, Kaibo Zhou, Hao Pan, Yanhe Xu, Jie Liu

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019

A CRNN module for hand pose estimation.

Zhongxu Hu, Youmin Hu, Jie Liu, Bo Wu, Dongmin Han, Thomas R. Kurfess

Neurocomputing, 2019

Rotated Feature Network for multi-orientation object detection.

Zhixin Zhang, Xudong Chen, Jie Liu, Kaibo Zhou

CoRR, 2019

Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey-Markov Model.

Wei Jiang, Jianzhong Zhou, Yanhe Xu, Jie Liu, Yahui Shan

Complex., 2019

2018

3D separable convolutional neural network for dynamic hand gesture recognition.

Zhongxu Hu, Youmin Hu, Jie Liu, Bo Wu, Dongmin Han, Thomas R. Kurfess

Neurocomputing, 2018

Hand pose estimation with multi-scale network.

Zhongxu Hu, Youmin Hu, Bo Wu, Jie Liu, Dongmin Han, Thomas R. Kurfess

Appl. Intell., 2018

Vibration Tendency Prediction of Hydroelectric Generator Unit Based on Fast Ensemble Empirical Mode Decomposition and Kernel Extreme Learning Machine with Parameters Optimization.

Yahui Shan, Jianzhong Zhou, Wei Jiang, Jie Liu, Yanhe Xu, Yujie Zhao

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.

Jie Liu, Youmin Hu, Bo Wu, Yan Wang, Fengyun Xie

Sensors, 2017

2015

An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators.

Youmin Hu, Jie Liu, Bo Wu, Kaibo Zhou, Ming-Feng Ge

Proceedings of the ICINCO 2015, 2015

2014

Seam Tracking Control of Welding Robotic Manipulators Based on Adaptive Chattering-free Sliding-mode Control Technology.

Youmin Hu, Jie Liu, Bo Wu, Ming-Feng Ge

Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1, 2014