Jie Liu - RankMe

57 papers Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Fast Graph Construction-Driven Rotating Machine Fault Diagnosis Method Using Edge Predictor. IEEE Trans. Neural Networks Learn. Syst. Chaoying Yang, Jie Liu, Yue Wang, Shuangye Yang, Tielin Shi
2025	J	`jnl`	A GraphKAN-Based Intelligent Fault Diagnosis Method of Rolling Bearing Under Variable Working Conditions. Symmetry Ye Liu, Yanhe Xu, Jie Liu, Hui Qin, Xinqiang Niu
2025	J	`jnl`	A tiny defect detection method on stamped parts with feature aggregation-diffusion and Wasserstein distance. Neurocomputing Hao Zhong, Zhongxu Hu, Jie Liu, Haifeng Wang, Youmin Hu, Tielin Shi
2025	J	`jnl`	Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning. Knowl. Based Syst. Mengliang Zhu, Jie Liu, Yanglong Lu, Zhongxu Hu, Li Yuan, Kaibo Zhou
2025	J	`jnl`	Comprehensive feature integrated capsule network for Machinery fault diagnosis. Expert Syst. Appl. Huangkun Xing, Xingxing Jiang, Qiuyu Song, Qian Wang, Jie Liu, Zhongkui Zhu
2025	J	`jnl`	Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Qiuyu Song, Xingxing Jiang, Jie Liu, Juanjuan Shi, Zhongkui Zhu
2025	J	`jnl`	Data-model interaction-driven transferable graph learning method for weak-shot onsite FTU health condition assessment. Adv. Eng. Informatics Fengyuan Zhang, Jie Liu, Haoliang Li, Ran Duan, Zhongxu Hu, Tielin Shi
2025	J	`jnl`	Deep Reinforcement Learning-Enhanced Target Encirclement of Multiple Unmanned Surface Vessels. Unmanned Syst. Caipei Yang, Jie Liu, Xuan Cai, Wei Wei, Ming-Feng Ge
2025	J	`jnl`	Heterogeneous graph contrastive learning-based transductive health condition assessment of Francis turbine unit. Eng. Appl. Artif. Intell. Fengyuan Zhang, Jie Liu, Yujie Liu, Yuxin Li, Ran Duan, Zhidi Chen, Xingxing Jiang
2025	J	`jnl`	Hierarchical Prescribed-Performance Nonlinear Control for Teleoperation of Networked Secondary Robots With Coupling Constraints. IEEE Trans. Control. Netw. Syst. Jing-Zhe Xu, Huai-Lin Peng, Ming-Feng Ge, Zhi-Wei Liu, Huaicheng Yan, Jie Liu
2025	J	`jnl`	MASC: Large language model-based multi-agent scheduling chain for flexible job shop scheduling problem. Adv. Eng. Informatics Zelong Wang, Chenhui Wan, Jie Liu, Xi Zhang, Haifeng Wang, Youmin Hu, Zhongxu Hu
2025	J	`jnl`	Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis. Adv. Eng. Informatics Xin Zhang, Jie Liu, Xi Zhang, Yanglong Lu
2024	J	`jnl`	A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis. IEEE Trans. Ind. Informatics Chaoying Yang, Jie Liu, Qi Xu, Kaibo Zhou
2024	J	`jnl`	Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning. Adv. Eng. Informatics Mengliang Zhu, Jie Liu, Zhongxu Hu, Jiawei Liu, Xingxing Jiang, Tielin Shi
2024	J	`jnl`	Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model. Expert Syst. Appl. Fengyuan Zhang, Jie Liu, Yujie Liu, Haoliang Li, Xingxing Jiang
2024	J	`jnl`	Dynamic Graph-Driven Rotating Machine Fault Diagnosis: An Adaptively Updating Cross-Domain Relationship Information. IEEE Trans. Ind. Informatics Chaoying Yang, Jie Liu, Youmin Hu, Bo Wu, Tielin Shi
2024	J	`jnl`	Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation. J. Intell. Manuf. Chaoying Yang, Jie Liu, Kaibo Zhou, Xinyu Li
2024	J	`jnl`	Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation. Eng. Appl. Artif. Intell. Jian Wang, Jie Liu, Yanglong Lu, Haoliang Li, Xin Zhang
2024	J	`jnl`	Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions. IEEE Trans. Ind. Informatics Zenghui An, Xingxing Jiang, Jie Liu
2024	J	`jnl`	Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis. Inf. Fusion Xingxing Jiang, Xuegang Li, Qian Wang, Qiuyu Song, Jie Liu, Zhongkui Zhu
2024	J	`jnl`	Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis. IEEE Trans. Ind. Informatics Xin Zhang, Jie Liu, Xi Zhang, Yanglong Lu
2024	J	`jnl`	Reinforcement Learning Formation Tracking of Networked Autonomous Surface Vehicles With Bounded Inputs via Cloud-Supported Communication. IEEE Trans. Intell. Veh. Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Leimin Wang, Jie Liu
2024	J	`jnl`	STFE-Net: A multi-stage approach to enhance statistical texture feature for defect detection on metal surfaces. Adv. Eng. Informatics Hao Zhong, Daxing Fu, Ling Xiao, Fang Zhao, Jie Liu, Youmin Hu, Bo Wu
2024	J	`jnl`	Spectral structure inducing efficient variational model for enhancing bearing fault feature. Signal Process. Xin Wang, Xingxing Jiang, Qiuyu Song, Jie Liu, Jianfeng Guo, Zhongkui Zhu
2023	J	`jnl`	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. Fengyuan Zhang, Jie Liu, Yuxin Li, Yujie Liu, Ming-Feng Ge, Xingxing Jiang
2023	J	`jnl`	A meta-path graph-based graph homogenization framework for machine fault diagnosis. Eng. Appl. Artif. Intell. Chaoying Yang, Jie Liu, Kaibo Zhou, Xiaohui Yuan, Xingxing Jiang
2023	J	`jnl`	Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions. IEEE Trans. Ind. Informatics Zenghui An, Xingxing Jiang, Rui Yang, Hanyuan Zhang, Jie Liu, Changqing Shen
2023	J	`jnl`	Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data. J. Intell. Manuf. Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu
2023	J	`jnl`	Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data. Eng. Appl. Artif. Intell. Xin Zhang, Xi Zhang, Jie Liu, Bo Wu, Youmin Hu
2023	J	`jnl`	Hierarchical optimization for task-space bipartite coordination of multiple uncertain Lagrange plants. Autom. Zhi-Wei Gu, Ming-Feng Ge, Zhi-Wei Liu, Huaicheng Yan, Jie Liu, Jing-Zhe Xu
2023	J	`jnl`	Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning. IEEE Trans. Ind. Informatics Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang
2023	J	`jnl`	Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. Mengliang Zhu, Xiangyu Zeng, Jie Liu, Chaoying Yang, Kaibo Zhou
2022	J	`jnl`	A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method. IEEE Trans. Instrum. Meas. Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang, Ming-Feng Ge, Yiben Liu
2022	J	`jnl`	Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. Qiuyu Song, Xingxing Jiang, Jie Liu, Xin Wang, Guifu Du, Jianying Zheng, Zhongkui Zhu
2022	J	`jnl`	An Ensemble Prognostic Method of Francis Turbine Units Using Low-Quality Data under Variable Operating Conditions. Sensors Ran Duan, Jie Liu, Jianzhong Zhou, Pei Wang, Wei Liu
2022	J	`jnl`	Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis. IEEE Trans. Ind. Electron. Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu
2022	J	`jnl`	SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis. IEEE Trans. Ind. Electron. Chaoying Yang, Kaibo Zhou, Jie Liu
2022	J	`jnl`	Transferable graph features-driven cross-domain rotating machinery fault diagnosis. Knowl. Based Syst. Chaoying Yang, Jie Liu, Kaibo Zhou, Ming-Feng Ge, Xingxing Jiang
2021	—	`conf`	An Improved TCN-Based Network Combining RLS for Bearings-Only Target Tracking. ICIRA (2) Yingqi Zhao, Jie Liu, Kaibo Zhou, Qi Xu
2021	J	`jnl`	Deep convolutional neural network-based Bernoulli heatmap for head pose estimation. Neurocomputing Zhongxu Hu, Yang Xing, Chen Lv, Peng Hang, Jie Liu
2021	J	`jnl`	Numerical Eigensolver for Solving Eigenmodes of Cavity Resonators Filled With both Electric and Magnetic Lossy, Anisotropic Media. CoRR Wei Jiang, Jie Liu, Shiling Zheng
2021	J	`jnl`	Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images. IEEE Geosci. Remote. Sens. Lett. Kaibo Zhou, Zhixin Zhang, Changxin Gao, Jie Liu
2020	—	`conf`	A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet. I2MTC Guan-Nan Cao, Kaifeng Zhang, Kaibo Zhou, Hao Pan, Yanhe Xu, Jie Liu
2020	J	`jnl`	Data-Driven Fault Diagnosis Method Based on Compressed Sensing and Improved Multiscale Network. IEEE Trans. Ind. Electron. Zhongxu Hu, Yan Wang, Ming-Feng Ge, Jie Liu
2020	J	`jnl`	Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation. CoRR Zhongxu Hu, Yang Xing, Chen Lv, Peng Hang, Jie Liu
2020	J	`jnl`	Degradation Tendency Prediction for Pumped Storage Unit Based on Integrated Degradation Index Construction and Hybrid CNN-LSTM Model. Sensors Jianzhong Zhou, Yahui Shan, Jie Liu, Yanhe Xu, Yang Zheng
2020	J	`jnl`	Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media. CoRR Wei Jiang, Jie Liu
2019	J	`jnl`	A CRNN module for hand pose estimation. Neurocomputing Zhongxu Hu, Youmin Hu, Jie Liu, Bo Wu, Dongmin Han, Thomas R. Kurfess
2019	J	`jnl`	Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey-Markov Model. Complex. Wei Jiang, Jianzhong Zhou, Yanhe Xu, Jie Liu, Yahui Shan
2019	J	`jnl`	Rotated Feature Network for multi-orientation object detection. CoRR Zhixin Zhang, Xudong Chen, Jie Liu, Kaibo Zhou
2018	J	`jnl`	3D separable convolutional neural network for dynamic hand gesture recognition. Neurocomputing Zhongxu Hu, Youmin Hu, Jie Liu, Bo Wu, Dongmin Han, Thomas R. Kurfess
2018	J	`jnl`	Hand pose estimation with multi-scale network. Appl. Intell. Zhongxu Hu, Youmin Hu, Bo Wu, Jie Liu, Dongmin Han, Thomas R. Kurfess
2018	—	`conf`	Vibration Tendency Prediction of Hydroelectric Generator Unit Based on Fast Ensemble Empirical Mode Decomposition and Kernel Extreme Learning Machine with Parameters Optimization. ISCID (2) Yahui Shan, Jianzhong Zhou, Wei Jiang, Jie Liu, Yanhe Xu, Yujie Zhao
2017	J	`jnl`	A Hybrid Generalized Hidden Markov Model-Based Condition Monitoring Approach for Rolling Bearings. Sensors Jie Liu, Youmin Hu, Bo Wu, Yan Wang, Fengyun Xie
2017	J	`jnl`	Coordinated tracking for networked robotic systems via model-free controller-estimator algorithms. J. Frankl. Inst. Ming-Feng Ge, Cai-Hua Xiong, Zhi-Wei Liu, Jie Liu, Xiao-Wen Zhao
2015	—	`conf`	An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators. ICINCO (2) Youmin Hu, Jie Liu, Bo Wu, Kaibo Zhou, Ming-Feng Ge
2014	—	`conf`	Seam Tracking Control of Welding Robotic Manipulators Based on Adaptive Chattering-free Sliding-mode Control Technology. ICINCO (2) Youmin Hu, Jie Liu, Bo Wu, Ming-Feng Ge