Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. - Yalin Wang 003; Diju Liu; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (Adv. Eng. Informatics, 2022)

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2023)

A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. - Yalin Wang 003; Rao Dai; Diju Liu; Kai Wang 024; Xiaofeng Yuan; Chenliang Liu (Eng. Appl. Artif. Intell., 2024)

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2024)

Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. - Diju Liu; Yalin Wang 003; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan; Chunhua Yang 001 (IEEE Trans Autom. Sci. Eng., 2024)

Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes". - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)