Chenang Liu - RankMe

37 papers Journal 24Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ADs: Active Data-Selection for Data Quality Assurance in Data-Sharing Over Advanced Manufacturing Systems. IEEE Trans Autom. Sci. Eng. Yue Zhao, Yuxuan Li, Chenang Liu, Yinan Wang
2026	J	`jnl`	Noise-Conditioned Adversarial Diffusion Denoising Implicit Model (NCA-DDIM) for Data Augmentation in Engineering Applications. IEEE Trans Autom. Sci. Eng. Emmanuel Yangue, Wenmeng Tian, Yu Feng, Chenang Liu
2025	—	`conf`	Addressing Class Imbalance in Diabetic Retinopathy Detection: An Enhanced Diffusion-Resampling Data Augmentation Approach. CASE Emmanuel Yangue, Ethan O'Connor, Chenang Liu
2025	—	`conf`	An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing. CASE Frida Cantu, Salomon Ibarra, Arturo Gonzales, Jesus Barreda, Chenang Liu, Li Zhang
2025	J	`jnl`	An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing. CoRR Frida Cantu, Salomon Ibarra, Arturo Gonzales, Jesus Barreda, Chenang Liu, Li Zhang
2025	J	`jnl`	Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems. J. Comput. Inf. Sci. Eng. Boris Oskolkov, Chen Kan, Wenmeng Tian, Andrew Chung Chee Law, Chenang Liu
2025	J	`jnl`	Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system. J. Intell. Manuf. Zhangyue Shi, Yuxuan Li, Chenang Liu
2025	—	`conf`	Kolmogorov-Arnold Networks (KAN)-enabled Incremental Learning for Online Process Monitoring of Additive Manufacturing. CASE Boris Oskolkov, Emmanuel Yangue, Wenmeng Tian, Chen Kan, Chenang Liu
2024	J	`jnl`	ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems. CoRR Yue Zhao, Yuxuan Li, Chenang Liu, Yinan Wang
2024	J	`jnl`	Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. CoRR Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu James Kong, Chenang Liu
2024	—	`conf`	An Adaptive Image Segmentation Approach for Tumor Region Identification in Ultrasound Images. EMBC Emmanuel Yangue, Yuxuan Li, Ashish Ranjan, Chenang Liu
2024	—	`conf`	Cost-Saving Data-Driven Diabetic Retinopathy Prediction via a Sampling-Empowered Incremental Learning Approach. EMBC Anastasiia Oskolkova, Boris Oskolkov, Tieming Liu, Chenang Liu
2024	J	`jnl`	Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing. J. Comput. Inf. Sci. Eng. Emmanuel Yangue, Durant Fullington, Owen Smith, Wenmeng Tian, Chenang Liu
2024	J	`jnl`	Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems. J. Comput. Inf. Sci. Eng. Zhangyue Shi, Boris Oskolkov, Wenmeng Tian, Chen Kan, Chenang Liu
2024	—	`conf`	Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning. EMBC Ethan O'Connor, Emmanuel Yangue, Yu Feng, Huimin Wu, Chenang Liu
2023	J	`jnl`	A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare. BioData Min. Tanapol Kosolwattana, Chenang Liu, Renjie Hu, Shizhong Han, Hua Chen, Ying Lin
2023	J	`jnl`	A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention. J. Biomed. Informatics Ayse Dogan, Yuxuan Li, Chiwetalu Peter Odo, Kalyani Sonawane, Ying Lin, Chenang Liu
2023	J	`jnl`	An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing. J. Intell. Manuf. Zhangyue Shi, Abdullah Al Mamun, Chen Kan, Wenmeng Tian, Chenang Liu
2023	J	`jnl`	Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System. CoRR Yuxuan Li, Chenang Liu
2023	J	`jnl`	Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. J. Intell. Manuf. Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu, Chase Joslin
2023	—	`conf`	Integrated Modeling and Optimal Operation of Multi-Energy System for Coastal Community. eIT Yang Chen, Jun Chen, Chenang Liu, Guodong Liu, Maximiliano F. Ferrari, Aditya Sundararajan
2023	J	`jnl`	Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System. CoRR Zhangyue Shi, Yuxuan Li, Chenang Liu
2023	J	`jnl`	Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Additive Manufacturing. CoRR Zhangyue Shi, Tianxin Xie, Chenang Liu, Yuxuan Li
2023	J	`jnl`	Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. J. Intell. Manuf. Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu, Chase Joslin
2022	J	`jnl`	A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare. CoRR Yuxuan Li, Ying Lin, Chenang Liu
2022	J	`jnl`	A multilayer network-enabled ultrasonic image series analysis approach for online cancer drug delivery monitoring. Comput. Methods Programs Biomed. Yuxuan Li, Joshua VanOsdol, Ashish Ranjan, Chenang Liu
2022	J	`jnl`	Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection. IEEE Trans Autom. Sci. Eng. Yuxuan Li, Zhangyue Shi, Chenang Liu, Wenmeng Tian, Zhenyu James Kong, Christopher B. Williams
2022	—	`conf`	Collaborative Discrimination-Enabled Generative Adversarial Network (CoD-GAN) for the Data Augmentation in Imbalanced Classification. CASE Ziyang Zhang, Yuxuan Li, Chenang Liu
2022	—	`conf`	Ensemble Generative Adversarial Imputation Network with Selective Multi-Generator (ESM-GAIN) for Missing Data Imputation. CASE Yuxuan Li, Ayse Dogan, Chenang Liu
2022	—	`conf`	Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing. ICDM (Workshops) Zhangyue Shi, Yuxuan Li, Chenang Liu
2022	J	`jnl`	Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow. CoRR Yuxuan Li, Chaoyue Zhao, Chenang Liu
2022	—	`conf`	Multi-Branching Neural Network for Myocardial Infarction Prediction. CASE Zekai Wang, Chenang Liu, Bing Yao
2022	—	`conf`	Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN). ICDM (Workshops) Yuxuan Li, Chaoyue Zhao, Chenang Liu
2021	J	`jnl`	A Blockchain-Based G-Code Protection Approach for Cyber-Physical Security in Additive Manufacturing. J. Comput. Inf. Sci. Eng. Zhangyue Shi, Chen Kan, Wenmeng Tian, Chenang Liu
2021	J	`jnl`	An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing. IISE Trans. Chenang Liu, Zhenyu James Kong, Suresh Babu, Chase Joslin, James Ferguson
2021	—	`conf`	Echo State Network Learning for the Detection of Cyber Attacks in Additive Manufacturing. CASE Houliang Zhou, Chenang Liu, Wenmeng Tian, Chen Kan
2019	J	`jnl`	Layer-wise spatial modeling of porosity in additive manufacturing. IISE Trans. Jia Peter Liu, Chenang Liu, Yun Bai, Prahalad K. Rao, Christopher B. Williams, Zhenyu James Kong