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2020 – today
- 2024
[j5]Ruimin Xie
, Yuxiang Liu, Xiwen He, Nabil Magbool Jan, Huaping Wang, Kuangrong Hao, Biao Huang:
Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process. Comput. Chem. Eng. 181: 108543 (2024)- [j4]Xiwen He, Tong Liu, Yumei Zhang, Ruimin Xie:
Soft Sensor Modeling Based on Vector- Quantized Weighted-Wasserstein VAE for Polyester Polymerization Process. IEEE Trans. Ind. Informatics 20(9): 11338-11347 (2024) - [c2]Yufan Wu, Ruimin Xie, Kuangrong Hao, Lihong Ren, Feifei Li, Tong Liu:
A Novel Adaptive LSTM Model for Polyester Oligomer Density Prediction. ICIT 2024: 1-6 - 2021
- [j3]Xiuli Zhu, Kuangrong Hao, Ruimin Xie, Biao Huang:
Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network. Neurocomputing 434: 126-136 (2021) - 2020
- [j2]Ruimin Xie, Kuangrong Hao, Biao Huang, Lei Chen, Xin Cai:
Data-Driven Modeling Based on Two-Stream ${\rm{\lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application. IEEE Trans. Ind. Electron. 67(8): 7034-7043 (2020) - [j1]Ruimin Xie, Nabil Magbool Jan, Kuangrong Hao, Lei Chen, Biao Huang:
Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data. IEEE Trans. Ind. Informatics 16(4): 2820-2828 (2020)
2010 – 2019
- 2017
- [c1]Ruimin Xie, Yongsheng Ding, Kuangrong Hao, Lei Chen, Tong Wang:
Using gated recurrence units neural network for prediction of melt spinning properties. ASCC 2017: 2286-2291
Coauthor Index
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