Yanlin He
Orcid: 0000-0001-9999-3679
According to our database1,
Yanlin He
authored at least 60 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Trans. Ind. Informatics, April, 2024
Novel Schur Decomposition Orthogonal Exponential DLPP With Mixture Distance for Fault Diagnosis.
IEEE Trans. Ind. Informatics, April, 2024
Data Mode-Related Generative Adversarial Network for Industrial Soft Sensor Application.
IEEE Trans. Ind. Informatics, March, 2024
Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft Sensing.
IEEE Trans. Ind. Informatics, March, 2024
IEEE Trans. Ind. Informatics, March, 2024
Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data.
Expert Syst. Appl., March, 2024
Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft Sensing.
IEEE Trans. Ind. Informatics, February, 2024
Adversarial Attacks for Neural Network-Based Industrial Soft Sensors: Mirror Output Attack and Translation Mirror Output Attack.
IEEE Trans. Ind. Informatics, February, 2024
Novel Deep Layers-Extended Autoencoder With Correlation and Its Industrial Soft Sensing.
IEEE Trans. Ind. Informatics, January, 2024
2023
Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis.
IEEE Trans. Ind. Informatics, October, 2023
Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data.
Expert Syst. Appl., September, 2023
A Novel Catheter Shape-Sensing Method Based on Deep Learning with a Multi-Core Optical Fiber.
Sensors, August, 2023
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2023
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes.
IEEE Trans. Reliab., March, 2023
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis.
IEEE Trans. Reliab., March, 2023
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing.
Eng. Appl. Artif. Intell., March, 2023
IET Image Process., January, 2023
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing.
IEEE Trans. Instrum. Meas., 2023
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
2022
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Instrum. Meas., 2022
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process.
Proceedings of the 8th International Conference on Control, 2022
2021
Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor.
IEEE Trans. Instrum. Meas., 2021
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder.
IEEE Trans. Instrum. Meas., 2021
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system.
Soft Comput., 2021
Novel virtual sample generation using conditional GAN for developing soft sensor with small data.
Eng. Appl. Artif. Intell., 2021
A Latency-Optimized Lookup Table for Nonlinearity Calibration in VCO-Based Sigma-Delta ADCs.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021
2020
Intell. Data Anal., 2020
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples.
Eng. Appl. Artif. Intell., 2020
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents.
Proceedings of the 7th International Conference on Control, 2020
2019
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
Optical Fiber Sensor Performance Evaluation in Soft Polyimide Film with Different Thickness Ratios.
Sensors, 2019
A reliable method for colorectal cancer prediction based on feature selection and support vector machine.
Medical Biol. Eng. Comput., 2019
Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis.
J. Biomed. Informatics, 2019
Posture measurement of soft pneumatic bending actuator using optical fibre-based sensing membrane.
Ind. Robot, 2019
Int. J. Robotics Autom., 2019
Int. J. Robotics Autom., 2019
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019
Proceedings of the 12th Asian Control Conference, 2019
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis.
Proceedings of the 12th Asian Control Conference, 2019
2018
IEEE CAA J. Autom. Sinica, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network.
Proceedings of the 5th International Conference on Control, 2018
A novel nonlinear virtual sample generation approach integrating extreme learning machine with noise injection for enhancing energy modeling and analysis on small data: Application to petrochemical industries.
Proceedings of the 5th International Conference on Control, 2018
Proceedings of the 5th International Conference on Control, 2018
2017
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets.
Eng. Appl. Artif. Intell., 2017
An improved threshold method based on histogram entropy for the blood vessel segmentation.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes.
Proceedings of the 11th Asian Control Conference, 2017
An enhanced extreme learning machine with a double parallel structure and its application to modeling complex chemical processes.
Proceedings of the 11th Asian Control Conference, 2017
2016
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016
2015
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state.
Neurocomputing, 2015
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets.
Eng. Appl. Artif. Intell., 2015
2014
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise.
Neurocomputing, 2014
2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013