Health Assessment for Crane Pumps based on Vehicle Tests using Deep Autoencoder and Metric Learning. - Dengyu Xiao; Yixiang Huang; Chengjin Qin; Haotian Shi; Chengliang Liu 001; Zenghai Shan (ICPHM, 2019)

Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning. - Dengyu Xiao; Yixiang Huang; Lujie Zhao; Chengjin Qin; Haotian Shi; Chengliang Liu 001 (IEEE Access, 2019)

A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification. - Haotian Shi; Haoren Wang; Yixiang Huang; Liqun Zhao; Chengjin Qin; Chengliang Liu 001 (Comput. Methods Programs Biomed., 2019)

Intelligent Fault Diagnosis of Diesel Engines via Extreme Gradient Boosting and High-Accuracy Time-Frequency Information of Vibration Signals. - Jianfeng Tao; Chengjin Qin; Weixing Li; Chengliang Liu 001 (Sensors, 2019)

A high-precision arrhythmia classification method based on dual fully connected neural network. - Haoren Wang; Haotian Shi; Ke Lin 001; Chengjin Qin; Liqun Zhao; Yixiang Huang; Chengliang Liu 001 (Biomed. Signal Process. Control., 2020)

An incremental learning system for atrial fibrillation detection based on transfer learning and active learning. - Haotian Shi; Haoren Wang; Chengjin Qin; Liqun Zhao; Chengliang Liu 001 (Comput. Methods Programs Biomed., 2020)

Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method. - Jianfeng Tao; Chengjin Qin; Dengyu Xiao; Haotian Shi; Xiao Ling; Bingchu Li; Chengliang Liu 001 (J. Intell. Manuf., 2020)

Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks. - Yanrui Jin; Chengjin Qin; Yixiang Huang; Wenyi Zhao; Chengliang Liu 001 (Knowl. Based Syst., 2020)

A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection. - Yanrui Jin; Chengjin Qin; Jinlei Liu 001; Ke Lin 001; Haotian Shi; Yixiang Huang; Chengliang Liu 001 (Knowl. Based Syst., 2020)

Automated heartbeat classification based on deep neural network with multiple input layers. - Haotian Shi; Chengjin Qin; Dengyu Xiao; Liqun Zhao; Chengliang Liu 001 (Knowl. Based Syst., 2020)

Precise and efficient heartbeat classification using a novel lightweight-modified method. - Yunqing Liu; Yanrui Jin; Jinlei Liu 001; Chengjin Qin; Ke Lin 001; Haotian Shi; Jianfeng Tao; Liqun Zhao; Chengliang Liu 001 (Biomed. Signal Process. Control., 2021)

Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization. - Dengyu Xiao; Chengjin Qin; Honggan Yu; Yixiang Huang; Chengliang Liu 001 (J. Intell. Manuf., 2021)

A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque. - Gang Shi; Chengjin Qin; Jianfeng Tao; Chengliang Liu 001 (Knowl. Based Syst., 2021)

A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples. - Yanrui Jin; Chengjin Qin; Jinlei Liu 001; Zhiyuan Li 013; Haotian Shi; Ke Lin 001; Yunqing Liu; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2021)

TScatNet: An Interpretable Cross-Domain Intelligent Diagnosis Model With Antinoise and Few-Shot Learning Capability. - Chao Liu 019; Chengjin Qin; Xi Shi; Zengwei Wang; Gang Zhang; Yunting Han (IEEE Trans. Instrum. Meas., 2021)

A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks. - Jinlei Liu 001; Yanrui Jin; Yunqing Liu; Zhiyuan Li 013; Chengjin Qin; Xiaojun Chen 003; Liqun Zhao; Chengliang Liu 001 (Comput. Biol. Medicine, 2022)

An efficient neural network-based method for patient-specific information involved arrhythmia detection. - Yunqing Liu; Chengjin Qin; Jinlei Liu 001; Yanrui Jin; Zhiyuan Li 013; Chengliang Liu 001 (Knowl. Based Syst., 2022)

Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout. - Dengyu Xiao; Chengjin Qin; Jianwen Ge; Pengcheng Xia; Yixiang Huang; Chengliang Liu 001 (Knowl. Based Syst., 2022)

A gene expression programming-based method for real-time wear estimation of disc cutter on TBM cutterhead. - Jianfeng Tao; Honggan Yu; Chengjin Qin; Hao Sun; Chengliang Liu 001 (Neural Comput. Appl., 2022)

Detection of Green Asparagus Using Improved Mask R-CNN for Automatic Harvesting. - Xiangpeng Liu; Danning Wang; Yani Li; Xiqiang Guan; Chengjin Qin (Sensors, 2022)

A Roller State-Based Fault Diagnosis Method for Tunnel Boring Machine Main Bearing Using Two-Stream CNN With Multichannel Detrending Inputs. - Xingchen Fu; Jianfeng Tao; Chengjin Qin; Qi Wei; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2022)

A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection. - Yanrui Jin; Jinlei Liu 001; Yunqing Liu; Chengjin Qin; Zhiyuan Li 013; Dengyu Xiao; Liqun Zhao; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2022)

A novel attentional deep neural network-based assessment method for ECG quality. - Yanrui Jin; Zhiyuan Li 013; Chengjin Qin; Jinlei Liu 001; Yunqing Liu; Liqun Zhao; Chengliang Liu 001 (Biomed. Signal Process. Control., 2023)

Adaptive Time-Frequency-Supported Chirp Component Decomposition. - Gang Shi; Chengjin Qin; Zhinan Zhang; Jianfeng Tao; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2023)

Spectral Interference Rejection Algorithm for Beat Frequency Estimation in Machining Chatter. - Yuxin Sun; Chengjin Qin; Xiaolong Yang; Zhongqu Xie; Haifeng Ma; Zhenhua Xiong; Xiangyang Zhu; Yulin Wang 004 (IEEE Trans. Instrum. Meas., 2023)

Table Tennis Track Detection Based on Temporal Feature Multiplexing Network. - Wenjie Li; Xiangpeng Liu; Kang An; Chengjin Qin; Yuhua Cheng (Sensors, 2023)

Anti-noise diesel engine misfire diagnosis using a multi-scale CNN-LSTM neural network with denoising module. - Chengjin Qin; Yanrui Jin; Zhinan Zhang; Honggan Yu; Jianfeng Tao; Hao Sun; Chengliang Liu 001 (CAAI Trans. Intell. Technol., 2023)

A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning. - Yunqing Liu; Jinlei Liu 001; Chengjin Qin; Yanrui Jin; Zhiyuan Li 013; Liqun Zhao; Chengliang Liu 001 (Appl. Intell., 2023)

Multi-objective trajectory planning for segment assembly robots using a B-spline interpolation- and infeasible-updating non-dominated sorting-based method. - Hao Sun; Jianfeng Tao; Chengjin Qin; Chang Dong; Shuang Xu; Qianwei Zhuang; Chengliang Liu 001 (Appl. Soft Comput., 2024)

Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data. - Yunqing Liu; Chengjin Qin; Yuanyuan Tian 003; Mengxiao Wang; Jinlei Liu 001; Yanrui Jin; Zhiyuan Li 013; Liqun Zhao; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2024)

A Domain-Adversarial Wide-Kernel Convolutional Neural Network for Noisy Domain Adaptive Diesel Engine Misfire Diagnosis. - Senhan Xu; Junbo Lei; Chengjin Qin; Zhinan Zhang; Jianfeng Tao; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2024)

A novel deep wavelet convolutional neural network for actual ECG signal denoising. - Yanrui Jin; Chengjin Qin; Jinlei Liu 001; Yunqing Liu; Zhiyuan Li 013; Chengliang Liu 001 (Biomed. Signal Process. Control., 2024)

MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines. - Wenjie Li; Xiangpeng Liu; Danning Wang; Wei Lu; Bo Yuan; Chengjin Qin; Yuhua Cheng; Catalin-Daniel Caleanu (Expert Syst. Appl., 2024)

Sparsity-Assisted Variational Nonlinear Component Decomposition. - Gang Shi; Chengjin Qin; Zhinan Zhang; Jianfeng Tao; Chengliang Liu 001 (IEEE Trans. Ind. Informatics, 2024)

Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction. - Pengcheng Xia; Yixiang Huang; Chengjin Qin; Chengliang Liu 001 (J. Intell. Manuf., 2024)

A scalable digital assets framework for distributed robot system's anomaly detection based on hybrid convolutional autoencoder. - Shijie Wang; Jianfeng Tao; Qincheng Jiang; Wei Chen; Chengjin Qin; Pencheng Xia; Chengliang Liu 001 (Neurocomputing, 2025)

Synchrosqueezing-Based Demodulation Transform for Analyzing Complicated Signal Containing Strong Noise. - Gang Shi; Shunan Wang; Yucong Liu; Chengjin Qin; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2025)