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Chenang Liu
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2020 – today
- 2024
- [j12]Emmanuel Yangue, Durant Fullington, Owen Smith, Wenmeng Tian, Chenang Liu:
Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing. J. Comput. Inf. Sci. Eng. 24(6) (2024) - [j11]Zhangyue Shi, Boris Oskolkov, Wenmeng Tian, Chen Kan, Chenang Liu:
Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems. J. Comput. Inf. Sci. Eng. 24(7) (2024) - [i7]Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu James Kong, Chenang Liu:
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. CoRR abs/2403.00669 (2024) - [i6]Yue Zhao, Yuxuan Li, Chenang Liu, Yinan Wang:
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems. CoRR abs/2404.00572 (2024) - 2023
- [j10]Tanapol Kosolwattana, Chenang Liu, Renjie Hu, Shizhong Han, Hua Chen, Ying Lin:
A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare. BioData Min. 16(1) (2023) - [j9]Ayse Dogan, Yuxuan Li, Chiwetalu Peter Odo, Kalyani Sonawane
, Ying Lin, Chenang Liu:
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention. J. Biomed. Informatics 141: 104342 (2023) - [j8]Zhangyue Shi
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing. J. Intell. Manuf. 34(4): 1815-1831 (2023) - [j7]Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. J. Intell. Manuf. 34(6): 2673-2689 (2023) - [j6]Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. J. Intell. Manuf. 34(6): 2691 (2023) - [c7]Yang Chen
Integrated Modeling and Optimal Operation of Multi-Energy System for Coastal Community. eIT 2023: 211-216 - [i5]Zhangyue Shi, Yuxuan Li, Chenang Liu:
Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System. CoRR abs/2302.12004 (2023) - [i4]Yuxuan Li, Chenang Liu:
Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System. CoRR abs/2306.06268 (2023) - [i3]Zhangyue Shi, Tianxin Xie, Chenang Liu, Yuxuan Li:
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Additive Manufacturing. CoRR abs/2312.02491 (2023) - 2022
- [j5]Yuxuan Li, Joshua VanOsdol, Ashish Ranjan, Chenang Liu:
A multilayer network-enabled ultrasonic image series analysis approach for online cancer drug delivery monitoring. Comput. Methods Programs Biomed. 213: 106505 (2022) - [j4]Yuxuan Li
Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection. IEEE Trans Autom. Sci. Eng. 19(4): 3338-3355 (2022) - [c6]Yuxuan Li, Ayse Dogan, Chenang Liu:
Ensemble Generative Adversarial Imputation Network with Selective Multi-Generator (ESM-GAIN) for Missing Data Imputation. CASE 2022: 807-812 - [c5]Ziyang Zhang, Yuxuan Li, Chenang Liu:
Collaborative Discrimination-Enabled Generative Adversarial Network (CoD-GAN) for the Data Augmentation in Imbalanced Classification. CASE 2022: 1510-1515 - [c4]Zekai Wang, Chenang Liu, Bing Yao:
Multi-Branching Neural Network for Myocardial Infarction Prediction. CASE 2022: 2118-2123 - [c3]Yuxuan Li, Chaoyue Zhao, Chenang Liu:
Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN). ICDM (Workshops) 2022: 198-205 - [c2]Zhangyue Shi, Yuxuan Li, Chenang Liu:
Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing. ICDM (Workshops) 2022: 860-867 - [i2]Yuxuan Li, Ying Lin, Chenang Liu:
A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare. CoRR abs/2205.14751 (2022) - [i1]Yuxuan Li, Chaoyue Zhao, Chenang Liu:
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow. CoRR abs/2206.01864 (2022) - 2021
- [j3]Chenang Liu, Zhenyu James Kong, Suresh Babu
An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing. IISE Trans. 53(11): 1215-1230 (2021) - [j2]Zhangyue Shi
A Blockchain-Based G-Code Protection Approach for Cyber-Physical Security in Additive Manufacturing. J. Comput. Inf. Sci. Eng. 21(4) (2021) - [c1]Houliang Zhou
Echo State Network Learning for the Detection of Cyber Attacks in Additive Manufacturing. CASE 2021: 177-182
2010 – 2019
- 2019
- [j1]Jia Peter Liu
Layer-wise spatial modeling of porosity in additive manufacturing. IISE Trans. 51(2): 109-123 (2019)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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