Seam Tracking Control of Welding Robotic Manipulators Based on Adaptive Chattering-free Sliding-mode Control Technology. - Youmin Hu; Jie Liu 017; Bo Wu 006; Ming-Feng Ge (ICINCO (2), 2014)

An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators. - Youmin Hu; Jie Liu 017; Bo Wu 006; Kaibo Zhou; Ming-Feng Ge (ICINCO (2), 2015)

Coordinated tracking for networked robotic systems via model-free controller-estimator algorithms. - Ming-Feng Ge; Cai-Hua Xiong; Zhi-Wei Liu 002; Jie Liu 017; Xiao-Wen Zhao (J. Frankl. Inst., 2017)

A Hybrid Generalized Hidden Markov Model-Based Condition Monitoring Approach for Rolling Bearings. - Jie Liu 017; Youmin Hu; Bo Wu 006; Yan Wang 029; Fengyun Xie (Sensors, 2017)

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 039; Jie Liu 017; Yanhe Xu; Yujie Zhao (ISCID (2), 2018)

Hand pose estimation with multi-scale network. - Zhongxu Hu; Youmin Hu; Bo Wu 006; Jie Liu 017; Dongmin Han; Thomas R. Kurfess (Appl. Intell., 2018)

3D separable convolutional neural network for dynamic hand gesture recognition. - Zhongxu Hu; Youmin Hu; Jie Liu 017; Bo Wu 006; Dongmin Han; Thomas R. Kurfess (Neurocomputing, 2018)

Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey-Markov Model. - Wei Jiang 039; Jianzhong Zhou; Yanhe Xu; Jie Liu 017; Yahui Shan (Complex., 2019)

Rotated Feature Network for multi-orientation object detection. - Zhixin Zhang; Xudong Chen; Jie Liu 017; Kaibo Zhou (CoRR, 2019)

A CRNN module for hand pose estimation. - Zhongxu Hu; Youmin Hu; Jie Liu 017; Bo Wu 006; Dongmin Han; Thomas R. Kurfess (Neurocomputing, 2019)

A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet. - Guan-Nan Cao; Kaifeng Zhang; Kaibo Zhou; Hao Pan; Yanhe Xu; Jie Liu 017 (I2MTC, 2020)

Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media. - Wei Jiang 039; Jie Liu 017 (CoRR, 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 017; Yanhe Xu; Yang Zheng 004 (Sensors, 2020)

Data-Driven Fault Diagnosis Method Based on Compressed Sensing and Improved Multiscale Network. - Zhongxu Hu; Yan Wang 029; Ming-Feng Ge; Jie Liu 017 (IEEE Trans. Ind. Electron., 2020)

An Improved TCN-Based Network Combining RLS for Bearings-Only Target Tracking. - Yingqi Zhao; Jie Liu 017; Kaibo Zhou; Qi Xu 007 (ICIRA (2), 2021)

Numerical Eigensolver for Solving Eigenmodes of Cavity Resonators Filled With both Electric and Magnetic Lossy, Anisotropic Media. - Wei Jiang 039; Jie Liu 017; Shiling Zheng (CoRR, 2021)

Deep convolutional neural network-based Bernoulli heatmap for head pose estimation. - Zhongxu Hu; Yang Xing 004; Chen Lv 001; Peng Hang; Jie Liu 017 (Neurocomputing, 2021)

Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images. - Kaibo Zhou; Zhixin Zhang; Changxin Gao; Jie Liu 017 (IEEE Geosci. Remote. Sens. Lett., 2021)

Transferable graph features-driven cross-domain rotating machinery fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Ming-Feng Ge; Xingxing Jiang (Knowl. Based Syst., 2022)

An Ensemble Prognostic Method of Francis Turbine Units Using Low-Quality Data under Variable Operating Conditions. - Ran Duan; Jie Liu 017; Jianzhong Zhou; Pei Wang; Wei Liu (Sensors, 2022)

SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis. - Chaoying Yang; Kaibo Zhou; Jie Liu 017 (IEEE Trans. Ind. Electron., 2022)

Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis. - Kaibo Zhou; Chaoying Yang; Jie Liu 017; Qi Xu 007 (IEEE Trans. Ind. Electron., 2022)

Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Jie Liu 017; Xin Wang 151; Guifu Du; Jianying Zheng; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang; Ming-Feng Ge; Yiben Liu (IEEE Trans. Instrum. Meas., 2022)

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 017; Bo Wu 006; Youmin Hu (Eng. Appl. Artif. Intell., 2023)

Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis. - Mengliang Zhu; Xiangyu Zeng; Jie Liu 017; Chaoying Yang; Kaibo Zhou (IEEE Trans. Instrum. Meas., 2023)

Hierarchical optimization for task-space bipartite coordination of multiple uncertain Lagrange plants. - Zhi-Wei Gu; Ming-Feng Ge; Zhi-Wei Liu; Huaicheng Yan 001; Jie Liu 017; Jing-Zhe Xu (Autom., 2023)

Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data. - Kaibo Zhou; Chaoying Yang; Jie Liu 017; Qi Xu 007 (J. Intell. Manuf., 2023)

A meta-path graph-based graph homogenization framework for machine fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xiaohui Yuan; Xingxing Jiang (Eng. Appl. Artif. Intell., 2023)

Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions. - Zenghui An; Xingxing Jiang; Rui Yang 026; Hanyuan Zhang; Jie Liu 017; Changqing Shen (IEEE Trans. Ind. Informatics, 2023)

Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang (IEEE Trans. Ind. Informatics, 2023)

A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model. - Fengyuan Zhang; Jie Liu 017; Yuxin Li; Yujie Liu; Ming-Feng Ge; Xingxing Jiang (Eng. Appl. Artif. Intell., 2023)

STFE-Net: A multi-stage approach to enhance statistical texture feature for defect detection on metal surfaces. - Hao Zhong; Daxing Fu; Ling Xiao 001; Fang Zhao; Jie Liu 017; Youmin Hu; Bo Wu 006 (Adv. Eng. Informatics, 2024)

Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning. - Mengliang Zhu; Jie Liu 017; Zhongxu Hu; Jiawei Liu; Xingxing Jiang; Tielin Shi (Adv. Eng. Informatics, 2024)

Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model. - Fengyuan Zhang; Jie Liu 017; Yujie Liu; Haoliang Li; Xingxing Jiang (Expert Syst. Appl., 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 017; Zhongkui Zhu (Inf. Fusion, 2024)

Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xinyu Li (J. Intell. Manuf., 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 002; Leimin Wang; Jie Liu 017 (IEEE Trans. Intell. Veh., 2024)

A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis. - Chaoying Yang; Jie Liu 017; Qi Xu 007; Kaibo Zhou (IEEE Trans. Ind. Informatics, 2024)

Spectral structure inducing efficient variational model for enhancing bearing fault feature. - Xin Wang 151; Xingxing Jiang; Qiuyu Song; Jie Liu 017; Jianfeng Guo; Zhongkui Zhu (Signal Process., 2024)

Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions. - Zenghui An; Xingxing Jiang; Jie Liu 017 (IEEE Trans. Ind. Informatics, 2024)

Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis. - Xin Zhang; Jie Liu 017; Xi Zhang; Yanglong Lu (IEEE Trans. Ind. Informatics, 2024)

Dynamic Graph-Driven Rotating Machine Fault Diagnosis: An Adaptively Updating Cross-Domain Relationship Information. - Chaoying Yang; Jie Liu 017; Youmin Hu; Bo Wu 006; Tielin Shi (IEEE Trans. Ind. Informatics, 2024)

MASC: Large language model-based multi-agent scheduling chain for flexible job shop scheduling problem. - Zelong Wang; Chenhui Wan; Jie Liu 017; Xi Zhang; Haifeng Wang; Youmin Hu; Zhongxu Hu (Adv. Eng. Informatics, 2025)

Data-model interaction-driven transferable graph learning method for weak-shot onsite FTU health condition assessment. - Fengyuan Zhang; Jie Liu 017; Haoliang Li; Ran Duan; Zhongxu Hu; Tielin Shi (Adv. Eng. Informatics, 2025)

Heterogeneous graph contrastive learning-based transductive health condition assessment of Francis turbine unit. - Fengyuan Zhang; Jie Liu 017; Yujie Liu; Yuxin Li; Ran Duan; Zhidi Chen; Xingxing Jiang (Eng. Appl. Artif. Intell., 2025)

Comprehensive feature integrated capsule network for Machinery fault diagnosis. - Huangkun Xing; Xingxing Jiang; Qiuyu Song; Qian Wang; Jie Liu 017; Zhongkui Zhu (Expert Syst. Appl., 2025)

A tiny defect detection method on stamped parts with feature aggregation-diffusion and Wasserstein distance. - Hao Zhong; Zhongxu Hu; Jie Liu 017; Haifeng Wang; Youmin Hu; Tielin Shi (Neurocomputing, 2025)

Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning. - Mengliang Zhu; Jie Liu 017; Yanglong Lu; Zhongxu Hu; Li Yuan; Kaibo Zhou (Knowl. Based Syst., 2025)

A GraphKAN-Based Intelligent Fault Diagnosis Method of Rolling Bearing Under Variable Working Conditions. - Ye Liu; Yanhe Xu; Jie Liu 017; Hui Qin; Xinqiang Niu (Symmetry, 2025)

Hierarchical Prescribed-Performance Nonlinear Control for Teleoperation of Networked Secondary Robots With Coupling Constraints. - Jing-Zhe Xu; Huai-Lin Peng; Ming-Feng Ge; Zhi-Wei Liu 002; Huaicheng Yan 001; Jie Liu 017 (IEEE Trans. Control. Netw. Syst., 2025)

Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis. - Qiuyu Song; Xingxing Jiang; Jie Liu 017; Juanjuan Shi; Zhongkui Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Fast Graph Construction-Driven Rotating Machine Fault Diagnosis Method Using Edge Predictor. - Chaoying Yang; Jie Liu 017; Yue Wang; Shuangye Yang; Tielin Shi (IEEE Trans. Neural Networks Learn. Syst., 2025)