Using gated recurrence units neural network for prediction of melt spinning properties. - Ruimin Xie; Yongsheng Ding; Kuangrong Hao; Lei Chen 064; Tong Wang 013 (ASCC, 2017)

Data-Driven Modeling Based on Two-Stream ${ rm{ lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application. - Ruimin Xie; Kuangrong Hao; Biao Huang 001; Lei Chen 064; Xin Cai (IEEE Trans. Ind. Electron., 2020)

Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data. - Ruimin Xie; Nabil Magbool Jan; Kuangrong Hao; Lei Chen 064; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2020)

Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network. - Xiuli Zhu; Kuangrong Hao; Ruimin Xie; Biao Huang 001 (Neurocomputing, 2021)

A Novel Adaptive LSTM Model for Polyester Oligomer Density Prediction. - Yufan Wu; Ruimin Xie; Kuangrong Hao; Lihong Ren; Feifei Li; Tong Liu (ICIT, 2024)

Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process. - Ruimin Xie; Yuxiang Liu; Xiwen He; Nabil Magbool Jan; Huaping Wang; Kuangrong Hao; Biao Huang 001 (Comput. Chem. Eng., 2024)

Soft Sensor Modeling Based on Vector- Quantized Weighted-Wasserstein VAE for Polyester Polymerization Process. - Xiwen He; Tong Liu 014; Yumei Zhang; Ruimin Xie (IEEE Trans. Ind. Informatics, 2024)