Weiguang Fang - RankMe

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A modeling and adaptive evolution method for simulation parameters of digital twin shop floor. Robotics Comput. Integr. Manuf. Litong Zhang, Yu Guo, Shengbo Wang, Guanguan Zheng, Weiwei Qian, Shaohua Huang, Weiguang Fang
2025	J	`jnl`	Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning. Robotics Comput. Integr. Manuf. Sai Geng, Shaohua Huang, Yu Guo, Weiwei Qian, Weiguang Fang, Litong Zhang, Shengbo Wang
2025	J	`jnl`	Intelligent process instruction generation method: Combining large-scale pre-trained language model and multi-reasoning. Appl. Soft Comput. Tao Wu, Yu Guo, Shaohua Huang, Weiguang Fang, Zhixin Long, Weiwei Qian
2023	J	`jnl`	A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop. Int. J. Prod. Res. Daoyuan Liu, Yu Guo, Shaohua Huang, Weiguang Fang, Xu Tian
2023	J	`jnl`	An Adaptive Job Shop Scheduling Mechanism for Disturbances by Running Reinforcement Learning in Digital Twin Environment. J. Comput. Inf. Sci. Eng. Weiguang Fang, Hao Zhang, Weiwei Qian, Yu Guo, Shaoxun Li, Zeqing Liu, Chenning Liu, Dongpao Hong
2023	J	`jnl`	Digital twin driven production progress prediction for discrete manufacturing workshop. Robotics Comput. Integr. Manuf. Weiwei Qian, Yu Guo, Hao Zhang, Shaohua Huang, Litong Zhang, Hailang Zhou, Weiguang Fang, Shanshan Zha
2021	J	`jnl`	A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process. J. Intell. Manuf. Shaohua Huang, Yu Guo, Nengjun Yang, Shanshan Zha, Daoyuan Liu, Weiguang Fang
2021	J	`jnl`	Multidimensional Data Modeling and Model Validation for Digital Twin Workshop. J. Comput. Inf. Sci. Eng. Weiwei Qian, Yu Guo, Kai Cui, Pengxing Wu, Weiguang Fang, Daoyuan Liu
2020	J	`jnl`	A Parallel Gated Recurrent Units (P-GRUs) network for the shifting lateness bottleneck prediction in make-to-order production system. Comput. Ind. Eng. Weiguang Fang, Yu Guo, Wenhe Liao, Shaohua Huang, Nengjun Yang, Jinshan Liu
2020	J	`jnl`	Big data driven jobs remaining time prediction in discrete manufacturing system: a deep learning-based approach. Int. J. Prod. Res. Weiguang Fang, Yu Guo, Wenhe Liao, Karthik Ramani, Shaohua Huang
2019	J	`jnl`	A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing. IEEE Internet Things J. Shaohua Huang, Yu Guo, Daoyuan Liu, Shanshan Zha, Weiguang Fang