Chengjin Qin
Orcid: 0000-0002-5200-3241Affiliations:
- Shanghai Jiao Tong University, China
According to our database1,
Chengjin Qin
authored at least 35 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction.
J. Intell. Manuf., October, 2024
IEEE Trans. Ind. Informatics, March, 2024
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines.
Expert Syst. Appl., March, 2024
Biomed. Signal Process. Control., January, 2024
A Domain-Adversarial Wide-Kernel Convolutional Neural Network for Noisy Domain Adaptive Diesel Engine Misfire Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data.
IEEE Trans. Instrum. Meas., 2024
Multi-objective trajectory planning for segment assembly robots using a B-spline interpolation- and infeasible-updating non-dominated sorting-based method.
Appl. Soft Comput., 2024
2023
A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning.
Appl. Intell., November, 2023
Anti-noise diesel engine misfire diagnosis using a multi-scale CNN-LSTM neural network with denoising module.
CAAI Trans. Intell. Technol., September, 2023
Sensors, February, 2023
Spectral Interference Rejection Algorithm for Beat Frequency Estimation in Machining Chatter.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Biomed. Signal Process. Control., 2023
2022
A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection.
IEEE Trans. Instrum. Meas., 2022
A Roller State-Based Fault Diagnosis Method for Tunnel Boring Machine Main Bearing Using Two-Stream CNN With Multichannel Detrending Inputs.
IEEE Trans. Instrum. Meas., 2022
Sensors, 2022
A gene expression programming-based method for real-time wear estimation of disc cutter on TBM cutterhead.
Neural Comput. Appl., 2022
Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout.
Knowl. Based Syst., 2022
An efficient neural network-based method for patient-specific information involved arrhythmia detection.
Knowl. Based Syst., 2022
A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks.
Comput. Biol. Medicine, 2022
2021
TScatNet: An Interpretable Cross-Domain Intelligent Diagnosis Model With Antinoise and Few-Shot Learning Capability.
IEEE Trans. Instrum. Meas., 2021
A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples.
IEEE Trans. Instrum. Meas., 2021
A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque.
Knowl. Based Syst., 2021
Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization.
J. Intell. Manuf., 2021
Precise and efficient heartbeat classification using a novel lightweight-modified method.
Biomed. Signal Process. Control., 2021
2020
Automated heartbeat classification based on deep neural network with multiple input layers.
Knowl. Based Syst., 2020
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection.
Knowl. Based Syst., 2020
Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks.
Knowl. Based Syst., 2020
Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method.
J. Intell. Manuf., 2020
An incremental learning system for atrial fibrillation detection based on transfer learning and active learning.
Comput. Methods Programs Biomed., 2020
A high-precision arrhythmia classification method based on dual fully connected neural network.
Biomed. Signal Process. Control., 2020
2019
Intelligent Fault Diagnosis of Diesel Engines via Extreme Gradient Boosting and High-Accuracy Time-Frequency Information of Vibration Signals.
Sensors, 2019
A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification.
Comput. Methods Programs Biomed., 2019
IEEE Access, 2019
Health Assessment for Crane Pumps based on Vehicle Tests using Deep Autoencoder and Metric Learning.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019