A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing. - Shaohua Huang; Yu Guo; Daoyuan Liu; Shanshan Zha; Weiguang Fang (IEEE Internet Things J., 2019)

Multidimensional Data Modeling and Model Validation for Digital Twin Workshop. - Weiwei Qian; Yu Guo; Kai Cui; Pengxing Wu; Weiguang Fang; Daoyuan Liu (J. Comput. Inf. Sci. Eng., 2021)

A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process. - Shaohua Huang; Yu Guo; Nengjun Yang; Shanshan Zha; Daoyuan Liu; Weiguang Fang (J. Intell. Manuf., 2021)

Modelling and online training method for digital twin workshop. - Litong Zhang; Yu Guo; Weiwei Qian; Weili Wang; Daoyuan Liu; Sai Liu (Int. J. Prod. Res., 2023)

A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop. - Daoyuan Liu; Yu Guo; Shaohua Huang; Weiguang Fang; Xu Tian (Int. J. Prod. Res., 2023)

Dynamic production bottleneck prediction using a data-driven method in discrete manufacturing system. - Daoyuan Liu; Yu Guo; Shaohua Huang; Shengbo Wang; Tao Wu (Adv. Eng. Informatics, 2023)

A spatial-temporal feature fusion network for order remaining completion time prediction in discrete manufacturing workshop. - Shengbo Wang; Yu Guo; Shaohua Huang; Daoyuan Liu; Pengzhou Tang; Litong Zhang (Int. J. Prod. Res., 2024)

Real-Time Quality Inspection Based on Transfer Learning and Feature Clustering for Wave Soldering. - Daoyuan Liu; Yu Guo; Jian Xie; Hanpeng Gao; Shaohua Huang (IEEE Trans. Instrum. Meas., 2024)

An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering. - Hanpeng Gao; Yu Guo; Shaohua Huang; Jian Xie; Daoyuan Liu; Tao Wu; Xu Tian (J. Comput. Inf. Sci. Eng., 2024)

A multimodal fusion method for soldering quality online inspection. - Jian Xie; Yu Guo; Daoyuan Liu; Shaohua Huang; Kaiwen Zheng; Yaning Tao (J. Intell. Manuf., 2025)