Chenang Liu
Orcid: 0000-0002-6571-0682
According to our database1,
Chenang Liu
authored at least 24 papers
between 2019 and 2024.
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Bibliography
2024
Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems.
J. Comput. Inf. Sci. Eng., July, 2024
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges.
CoRR, 2024
2023
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach.
J. Intell. Manuf., August, 2023
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach.
J. Intell. Manuf., August, 2023
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention.
J. Biomed. Informatics, May, 2023
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing.
J. Intell. Manuf., April, 2023
A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.
BioData Min., January, 2023
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Additive Manufacturing.
CoRR, 2023
Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System.
CoRR, 2023
Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System.
CoRR, 2023
Integrated Modeling and Optimal Operation of Multi-Energy System for Coastal Community.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
2022
Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection.
IEEE Trans Autom. Sci. Eng., 2022
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow.
CoRR, 2022
A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare.
CoRR, 2022
A multilayer network-enabled ultrasonic image series analysis approach for online cancer drug delivery monitoring.
Comput. Methods Programs Biomed., 2022
Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN).
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Collaborative Discrimination-Enabled Generative Adversarial Network (CoD-GAN) for the Data Augmentation in Imbalanced Classification.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Ensemble Generative Adversarial Imputation Network with Selective Multi-Generator (ESM-GAIN) for Missing Data Imputation.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
A Blockchain-Based G-Code Protection Approach for Cyber-Physical Security in Additive Manufacturing.
J. Comput. Inf. Sci. Eng., 2021
An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing.
IISE Trans., 2021
Echo State Network Learning for the Detection of Cyber Attacks in Additive Manufacturing.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2019