Diju Liu

According to our database, Diju Liu authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes".

Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui

IEEE Trans. Ind. Informatics, April, 2025

2024

Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer.

Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang

IEEE Trans. Knowl. Data Eng., November, 2024

Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework.

Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang

IEEE Trans Autom. Sci. Eng., April, 2024

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.

Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang

IEEE Trans. Instrum. Meas., 2024

A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications.

Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu

Eng. Appl. Artif. Intell., 2024

2023

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.

Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui

IEEE Trans. Ind. Informatics, 2023

2022

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.

Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang

Adv. Eng. Informatics, 2022