Diju Liu
Orcid: 0000-0002-1128-8682
According to our database1,
Diju Liu authored at least 9 papers
between 2022 and 2026.
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Bibliography
2026
Spatiotemporal Topology-Informed Multiagent Reinforcement Learning Framework for Structured Multiprocess Collaborative Optimization.
IEEE Trans. Neural Networks Learn. Syst., May, 2026
Which Data Harms My Regression Model: Enhancing Model Performance on Low-Quality Data Through Fast Data Attribution.
IEEE Trans. Knowl. Data Eng., May, 2026
2025
Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes".
IEEE Trans. Ind. Informatics, April, 2025
2024
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer.
IEEE Trans. Knowl. Data Eng., November, 2024
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework.
IEEE Trans Autom. Sci. Eng., April, 2024
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.
IEEE Trans. Instrum. Meas., 2024
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications.
Eng. Appl. Artif. Intell., 2024
2023
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.
IEEE Trans. Ind. Informatics, 2023
2022
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.
Adv. Eng. Informatics, 2022