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• affiliation:Huazhong University of Science and Technology, School of Hydropower and Information Engineering, Wuhan, China
• affiliation (PhD 2018):Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China

• Jie Liu —disambiguation page
• Jie Liu0001 —Harbin Institute of Technology, AI Research Institute, Harbin, China(and 3 more)
• Jie Liu0002 — National University of Defense Technology, Changsha, China
• Jie Liu0003 — National University of Singapore, Singapore
• Jie Liu0004 —Fourth Military Medical University, Tangdu Hospital, Xi'an, China(and 1 more)
• Jie Liu0005 — University of Paris-Saclay, CentraleSupélec, Chatenay-Malabry, France
• Jie Liu0006 —University of Washington, Seattle, WA, USA(and 1 more)
• Jie Liu0007 — Nankai University, Tianjin, China
• Jie Liu0008 —State Key Laboratory of Computer Science, Beijing, China(and 2 more)
• Jie Liu0009 —Xi'an University of Science and Technology, College of Science, Xi'an, China(and 1 more)

• Jie Liu0010 — Huazhong Agriculture University, Wuhan, China
• Jie Liu0011 — Naval Aeronautical and Astronautical University, Yantai, China
• Jie Liu0012 — North China University of Technology, Inverter Technologies Engineering Research Center of Beijing, China
• Jie Liu0013 —East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China(and 1 more)
• Jie Liu0014 — Jilin University, College of Computer Science and Technology / MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
• Jie Liu0015 —Northwestern Polytechnical University, School of Aeronautics, Xi'an, China(and 4 more)
• Jie Liu0016 — China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China
• Jie Liu0018 — University of Notre Dame, Department of Electrical Engineering, Notre Dame, IN, USA
• Jie Liu0019 — Baicheng Ordnance Test Center of China, Department of Tes, Baicheng, China
• Jie Liu0020 — University of New South Wales, Sydney, Australia
• Jie Liu0022 — Capital Normal University, Department of Information Engineering, Beijing, China
• Jie Liu0023 — Railway Engineering Research Institute, China Academic of Railway Science Corporation Ltd., Beijing, China
• Jie Liu0024 —Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China(and 1 more)
• Jie Liu0025 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
• Jie Liu0026 —Western Oregon University, Computer Science Division, Monmouth, OR, USA(and 1 more)
• Jie Liu0027 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
• Jie Liu0028 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
• Jie Liu0029 — Chinese Academy of Sciences, Institute of Software, Beijing, China
• Jie Liu0030 — National Huaqiao University, College of Computer Science and Technology, Xiamen, China
• Jie Liu0031 —Xi'an University of Technology, School of Printing Packaging and Digital Media, Xi'an, China(and 1 more)
• Jie Liu0032 — Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China
• Jie Liu0033 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
• Jie Liu0034 — Hunan University, College of Electrical and Information Engineering, Changsha, China
• Jie Liu0035 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China
• Jie Liu0036 — Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA, USA
• Jie Liu0037 —Nanjing ChangFeng Aerospace Electronic Technology Co., Nanjing, China(and 1 more)
• Jie Liu0038 — Harbin Institute of Technology, School of Computer Science and Technology, Weihai, China
• Jie Liu0039 — Shenyang Normal University, Software College, China
• Jie Liu0040 — Nanjing University, State Key Laboratory for Novel Software Technology, China
• Jie Liu0041 — Dalian Medical University, Second Hospital, Department of Anesthesiology, China
• Jie Liu0042 — Xidian University, School of Electronic Engineering, China
• Jie Liu0043 — University of Amsterdam, The Netherlands
• Jie Liu0044 — City University of Hong Kong, Department of Electrical Engineering, Hong Kong
• Jie Liu0045 —University of Michigan, Department of Computational Medicine and Bioinformatics, Electrical Engineering and Computer Science, MI, USA(and 1 more)
• Jie Liu0046 — Monash University, Australia
• Jie Liu0047 —Chinese University of Hong Kong, CUHK, MMLab, Hong Kong(and 1 more)

• 2025
• 
  [j39]
  Fengyuan Zhang,Jie Liu,Yujie Liu,Yuxin Li,Ran Duan,Zhidi Chen,Xingxing Jiang:
  Heterogeneous graph contrastive learning-based transductive health condition assessment of Francis turbine unit.Eng. Appl. Artif. Intell.145:110240 (2025)
• 
  [j38]
  Huangkun Xing,Xingxing Jiang,Qiuyu Song,Qian Wang,Jie Liu,Zhongkui Zhu:
  Comprehensive feature integrated capsule network for Machinery fault diagnosis.Expert Syst. Appl.260:125450 (2025)
• 
  [j37]
  Jing-Zhe Xu,Huai-Lin Peng,Ming-Feng Ge,Zhi-Wei Liu,Huaicheng Yan,Jie Liu:
  Hierarchical Prescribed-Performance Nonlinear Control for Teleoperation of Networked Secondary Robots With Coupling Constraints.IEEE Trans. Control. Netw. Syst.12(1):1006-1017 (2025)
• 
  [j36]
  Qiuyu Song,Xingxing Jiang,Jie Liu,Juanjuan Shi,Zhongkui Zhu:
  Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis.IEEE Trans. Neural Networks Learn. Syst.36(3):5403-5416 (2025)
• 2024
• 
  [j35]
  Hao Zhong,Daxing Fu,Ling Xiao,Fang Zhao,Jie Liu,Youmin Hu,Bo Wu:
  STFE-Net: A multi-stage approach to enhance statistical texture feature for defect detection on metal surfaces.Adv. Eng. Informatics61:102437 (2024)
• 
  [j34]
  Mengliang Zhu,Jie Liu,Zhongxu Hu,Jiawei Liu,Xingxing Jiang,Tielin Shi:
  Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning.Adv. Eng. Informatics61:102514 (2024)
• 
  [j33]
  Fengyuan Zhang,Jie Liu,Yujie Liu,Haoliang Li,Xingxing Jiang:
  Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model.Expert Syst. Appl.249:123724 (2024)
• 
  [j32]
  Xingxing Jiang,Xuegang Li,Qian Wang,Qiuyu Song,Jie Liu,Zhongkui Zhu:
  Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis.Inf. Fusion101:102005 (2024)
• 
  [j31]
  Chaoying Yang,Jie Liu,Kaibo Zhou,Xinyu Li:
  Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation.J. Intell. Manuf.35(1):355-366 (2024)
• 
  [j30]
  Xin Wang,Xingxing Jiang,Qiuyu Song,Jie Liu,Jianfeng Guo,Zhongkui Zhu:
  Spectral structure inducing efficient variational model for enhancing bearing fault feature.Signal Process.216:109304 (2024)
• 
  [j29]
  Chaoying Yang,Jie Liu,Qi Xu,Kaibo Zhou:
  A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis.IEEE Trans. Ind. Informatics20(2):2692-2701 (2024)
• 
  [j28]
  Zenghui An,Xingxing Jiang,Jie Liu:
  Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions.IEEE Trans. Ind. Informatics20(3):4990-5003 (2024)
• 
  [j27]
  Xin Zhang,Jie Liu,Xi Zhang,Yanglong Lu:
  Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis.IEEE Trans. Ind. Informatics20(9):11002-11013 (2024)
• 
  [j26]
  Chaoying Yang,Jie Liu,Youmin Hu,Bo Wu,Tielin Shi:
  Dynamic Graph-Driven Rotating Machine Fault Diagnosis: An Adaptively Updating Cross-Domain Relationship Information.IEEE Trans. Ind. Informatics20(12):14479-14488 (2024)
• 
  [j25]
  Teng-Fei Ding,Ming-Feng Ge,Zhi-Wei Liu,Leimin Wang,Jie Liu:
  Reinforcement Learning Formation Tracking of Networked Autonomous Surface Vehicles With Bounded Inputs via Cloud-Supported Communication.IEEE Trans. Intell. Veh.9(1):469-480 (2024)
• 2023
• 
  [j24]
  Zhi-Wei Gu,Ming-Feng Ge,Zhi-Wei Liu,Huaicheng Yan,Jie Liu,Jing-Zhe Xu:
  Hierarchical optimization for task-space bipartite coordination of multiple uncertain Lagrange plants.Autom.149:110829 (2023)
• 
  [j23]
  Chaoying Yang,Jie Liu,Kaibo Zhou,Xiaohui Yuan,Xingxing Jiang:
  A meta-path graph-based graph homogenization framework for machine fault diagnosis.Eng. Appl. Artif. Intell.121:105960 (2023)
• 
  [j22]
  Xin Zhang,Xi Zhang,Jie Liu,Bo Wu,Youmin Hu:
  Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data.Eng. Appl. Artif. Intell.125:106601 (2023)
• 
  [j21]
  Fengyuan Zhang,Jie Liu,Yuxin Li,Yujie Liu,Ming-Feng Ge,Xingxing Jiang:
  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.126:106974 (2023)
• 
  [j20]
  Kaibo Zhou,Chaoying Yang,Jie Liu,Qi Xu:
  Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data.J. Intell. Manuf.34(4):1965-1974 (2023)
• 
  [j19]
  Zenghui An,Xingxing Jiang,Rui Yang,Hanyuan Zhang,Jie Liu,Changqing Shen:
  Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions.IEEE Trans. Ind. Informatics19(7):8484-8495 (2023)
• 
  [j18]
  Chaoying Yang,Jie Liu,Kaibo Zhou,Xingxing Jiang:
  Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning.IEEE Trans. Ind. Informatics19(8):8644-8653 (2023)
• 
  [j17]
  Mengliang Zhu,Xiangyu Zeng,Jie Liu,Chaoying Yang,Kaibo Zhou:
  Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis.IEEE Trans. Instrum. Meas.72:1-10 (2023)
• 2022
• 
  [j16]
  Chaoying Yang,Jie Liu,Kaibo Zhou,Ming-Feng Ge,Xingxing Jiang:
  Transferable graph features-driven cross-domain rotating machinery fault diagnosis.Knowl. Based Syst.250:109069 (2022)
• 
  [j15]
  Ran Duan,Jie Liu,Jianzhong Zhou,Pei Wang,Wei Liu:
  An Ensemble Prognostic Method of Francis Turbine Units Using Low-Quality Data under Variable Operating Conditions.Sensors22(2):525 (2022)
• 
  [j14]
  Chaoying Yang,Kaibo Zhou,Jie Liu:
  SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis.IEEE Trans. Ind. Electron.69(4):4167-4176 (2022)
• 
  [j13]
  Kaibo Zhou,Chaoying Yang,Jie Liu,Qi Xu:
  Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis.IEEE Trans. Ind. Electron.69(10):10595-10604 (2022)
• 
  [j12]
  Qiuyu Song,Xingxing Jiang,Jie Liu,Xin Wang,Guifu Du,Jianying Zheng,Zhongkui Zhu:
  Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.IEEE Trans. Instrum. Meas.71:1-12 (2022)
• 
  [j11]
  Chaoying Yang,Jie Liu,Kaibo Zhou,Xingxing Jiang,Ming-Feng Ge,Yiben Liu:
  A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method.IEEE Trans. Instrum. Meas.71:1-10 (2022)
• 2021
• 
  [j10]
  Zhongxu Hu,Yang Xing,Chen Lv,Peng Hang,Jie Liu:
  Deep convolutional neural network-based Bernoulli heatmap for head pose estimation.Neurocomputing436:198-209 (2021)
• 
  [j9]
  Kaibo Zhou,Zhixin Zhang,Changxin Gao,Jie Liu:
  Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images.IEEE Geosci. Remote. Sens. Lett.18(1):33-37 (2021)
• 
  [c5]
  Yingqi Zhao,Jie Liu,Kaibo Zhou,Qi Xu:
  An Improved TCN-Based Network Combining RLS for Bearings-Only Target Tracking.ICIRA (2)2021:133-141
• 
  [i4]
  Wei Jiang,Jie Liu,Shiling Zheng:
  Numerical Eigensolver for Solving Eigenmodes of Cavity Resonators Filled With both Electric and Magnetic Lossy, Anisotropic Media.CoRRabs/2108.13278 (2021)
• 2020
• 
  [j8]
  Jianzhong Zhou,Yahui Shan,Jie Liu,Yanhe Xu,Yang Zheng:
  Degradation Tendency Prediction for Pumped Storage Unit Based on Integrated Degradation Index Construction and Hybrid CNN-LSTM Model.Sensors20(15):4277 (2020)
• 
  [j7]
  Zhongxu Hu,Yan Wang,Ming-Feng Ge,Jie Liu:
  Data-Driven Fault Diagnosis Method Based on Compressed Sensing and Improved Multiscale Network.IEEE Trans. Ind. Electron.67(4):3216-3225 (2020)
• 
  [c4]
  Guan-Nan Cao,Kaifeng Zhang,Kaibo Zhou,Hao Pan,Yanhe Xu,Jie Liu:
  A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet.I2MTC2020:1-6
• 
  [i3]
  Zhongxu Hu,Yang Xing,Chen Lv,Peng Hang,Jie Liu:
  Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation.CoRRabs/2005.11780 (2020)
• 
  [i2]
  Wei Jiang,Jie Liu:
  Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media.CoRRabs/2007.13321 (2020)

• 2019
• 
  [j6]
  Wei Jiang,Jianzhong Zhou,Yanhe Xu,Jie Liu,Yahui Shan:
  Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey-Markov Model.Complex.2019:1576817:1-1576817:18 (2019)
• 
  [j5]
  Zhongxu Hu,Youmin Hu,Jie Liu,Bo Wu,Dongmin Han,Thomas R. Kurfess:
  A CRNN module for hand pose estimation.Neurocomputing333:157-168 (2019)
• 
  [i1]
  Zhixin Zhang,Xudong Chen,Jie Liu,Kaibo Zhou:
  Rotated Feature Network for multi-orientation object detection.CoRRabs/1903.09839 (2019)
• 2018
• 
  [j4]
  Zhongxu Hu,Youmin Hu,Bo Wu,Jie Liu,Dongmin Han,Thomas R. Kurfess:
  Hand pose estimation with multi-scale network.Appl. Intell.48(8):2501-2515 (2018)
• 
  [j3]
  Zhongxu Hu,Youmin Hu,Jie Liu,Bo Wu,Dongmin Han,Thomas R. Kurfess:
  3D separable convolutional neural network for dynamic hand gesture recognition.Neurocomputing318:151-161 (2018)
• 
  [c3]
  Yahui Shan,Jianzhong Zhou,Wei Jiang,Jie Liu,Yanhe Xu,Yujie Zhao:
  Vibration Tendency Prediction of Hydroelectric Generator Unit Based on Fast Ensemble Empirical Mode Decomposition and Kernel Extreme Learning Machine with Parameters Optimization.ISCID (2)2018:287-290
• 2017
• 
  [j2]
  Ming-Feng Ge,Cai-Hua Xiong,Zhi-Wei Liu,Jie Liu,Xiao-Wen Zhao:
  Coordinated tracking for networked robotic systems via model-free controller-estimator algorithms.J. Frankl. Inst.354(13):5646-5666 (2017)
• 
  [j1]
  Jie Liu,Youmin Hu,Bo Wu,Yan Wang,Fengyun Xie:
  A Hybrid Generalized Hidden Markov Model-Based Condition Monitoring Approach for Rolling Bearings.Sensors17(5):1143 (2017)
• 2015
• 
  [c2]
  Youmin Hu,Jie Liu,Bo Wu,Kaibo Zhou,Ming-Feng Ge:
  An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators.ICINCO (2)2015:239-245
• 2014
• 
  [c1]
  Youmin Hu,Jie Liu,Bo Wu,Ming-Feng Ge:
  Seam Tracking Control of Welding Robotic Manipulators Based on Adaptive Chattering-free Sliding-mode Control Technology.ICINCO (2)2014:417-420

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