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Journal Articles
- 2024
[j6]Yalin Wang, Rao Dai, Diju Liu
, Kai Wang, Xiaofeng Yuan, Chenliang Liu:
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. Eng. Appl. Artif. Intell. 133: 108361 (2024)- [j5]Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang:
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. IEEE Trans Autom. Sci. Eng. 21(2): 1138-1150 (2024) - [j4]Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang:
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j3]Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. IEEE Trans. Knowl. Data Eng. 36(11): 6977-6988 (2024) - 2023
- [j2]Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui:
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes. IEEE Trans. Ind. Informatics 19(9): 9325-9336 (2023) - 2022
- [j1]Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. Adv. Eng. Informatics 52: 101590 (2022)
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