Layer-wise spatial modeling of porosity in additive manufacturing. - Jia Peter Liu; Chenang Liu; Yun Bai; Prahalad K. Rao; Christopher B. Williams; Zhenyu James Kong (IISE Trans., 2019)

Echo State Network Learning for the Detection of Cyber Attacks in Additive Manufacturing. - Houliang Zhou; Chenang Liu; Wenmeng Tian; Chen Kan (CASE, 2021)

An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing. - Chenang Liu; Zhenyu James Kong; Suresh Babu; Chase Joslin; James Ferguson (IISE Trans., 2021)

A Blockchain-Based G-Code Protection Approach for Cyber-Physical Security in Additive Manufacturing. - Zhangyue Shi; Chen Kan; Wenmeng Tian; Chenang Liu (J. Comput. Inf. Sci. Eng., 2021)

Ensemble Generative Adversarial Imputation Network with Selective Multi-Generator (ESM-GAIN) for Missing Data Imputation. - Yuxuan Li; Ayse Dogan; Chenang Liu (CASE, 2022)

Multi-Branching Neural Network for Myocardial Infarction Prediction. - Zekai Wang; Chenang Liu; Bing Yao (CASE, 2022)

Collaborative Discrimination-Enabled Generative Adversarial Network (CoD-GAN) for the Data Augmentation in Imbalanced Classification. - Ziyang Zhang; Yuxuan Li; Chenang Liu (CASE, 2022)

Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN). - Yuxuan Li; Chaoyue Zhao; Chenang Liu (ICDM (Workshops), 2022)

Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing. - Zhangyue Shi; Yuxuan Li; Chenang Liu (ICDM (Workshops), 2022)

A multilayer network-enabled ultrasonic image series analysis approach for online cancer drug delivery monitoring. - Yuxuan Li; Joshua VanOsdol; Ashish Ranjan; Chenang Liu (Comput. Methods Programs Biomed., 2022)

A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare. - Yuxuan Li; Ying Lin; Chenang Liu (CoRR, 2022)

Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow. - Yuxuan Li; Chaoyue Zhao; Chenang Liu (CoRR, 2022)

Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection. - Yuxuan Li; Zhangyue Shi; Chenang Liu; Wenmeng Tian; Zhenyu James Kong; Christopher B. Williams (IEEE Trans Autom. Sci. Eng., 2022)

Integrated Modeling and Optimal Operation of Multi-Energy System for Coastal Community. - Yang Chen 021; Jun Chen; Chenang Liu; Guodong Liu; Maximiliano F. Ferrari; Aditya Sundararajan (eIT, 2023)

Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System. - Yuxuan Li; Chenang Liu (CoRR, 2023)

Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Additive Manufacturing. - Zhangyue Shi; Tianxin Xie; Chenang Liu; Yuxuan Li (CoRR, 2023)

A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare. - Tanapol Kosolwattana; Chenang Liu; Renjie Hu; Shizhong Han; Hua Chen; Ying Lin (BioData Min., 2023)

An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing. - Zhangyue Shi; Abdullah Al Mamun; Chen Kan; Wenmeng Tian; Chenang Liu (J. Intell. Manuf., 2023)

A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention. - Ayse Dogan; Yuxuan Li; Chiwetalu Peter Odo; Kalyani Sonawane; Ying Lin; Chenang Liu (J. Biomed. Informatics, 2023)

Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. - Chenang Liu; Rongxuan Wang; Ian Ho; Zhenyu James Kong; Christopher Williams 002; Suresh Babu; Chase Joslin (J. Intell. Manuf., 2023)

Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. - Chenang Liu; Rongxuan Wang; Ian Ho; Zhenyu James Kong; Christopher Williams 002; Suresh Babu; Chase Joslin (J. Intell. Manuf., 2023)

Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning. - Ethan O'Connor; Emmanuel Yangue; Yu Feng; Huimin Wu; Chenang Liu (EMBC, 2024)

Cost-Saving Data-Driven Diabetic Retinopathy Prediction via a Sampling-Empowered Incremental Learning Approach. - Anastasiia Oskolkova; Boris Oskolkov; Tieming Liu; Chenang Liu (EMBC, 2024)

An Adaptive Image Segmentation Approach for Tumor Region Identification in Ultrasound Images. - Emmanuel Yangue; Yuxuan Li; Ashish Ranjan; Chenang Liu (EMBC, 2024)

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. - Amirul Islam Saimon; Emmanuel Yangue; Xiaowei Yue; Zhenyu James Kong; Chenang Liu (CoRR, 2024)

ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems. - Yue Zhao; Yuxuan Li; Chenang Liu; Yinan Wang (CoRR, 2024)

Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing. - Emmanuel Yangue; Durant Fullington; Owen Smith; Wenmeng Tian; Chenang Liu (J. Comput. Inf. Sci. Eng., 2024)

Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems. - Zhangyue Shi; Boris Oskolkov; Wenmeng Tian; Chen Kan; Chenang Liu (J. Comput. Inf. Sci. Eng., 2024)

Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems. - Boris Oskolkov; Chen Kan; Wenmeng Tian; Andrew Chung Chee Law; Chenang Liu (J. Comput. Inf. Sci. Eng., 2025)

Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system. - Zhangyue Shi; Yuxuan Li; Chenang Liu (J. Intell. Manuf., 2025)