Liyuan Kong

Orcid: 0000-0003-0810-5811

According to our database1, Liyuan Kong authored at least 8 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
DAMPNN: Dynamic Adaptive Message Passing Neural Network for Industrial Soft Sensor.
IEEE Trans. Ind. Informatics, February, 2025

TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025

2024
Data-Driven Joint Fault Diagnosis Based on RMK-ASSA and DBSKNet for Blast Furnace Iron-Making Process.
IEEE Trans Autom. Sci. Eng., July, 2024

One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction.
IEEE Trans. Instrum. Meas., 2024

Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace.
Expert Syst. Appl., 2024

Ontology guided multi-level knowledge graph construction and its applications in blast furnace ironmaking process.
Adv. Eng. Informatics, 2024

2023
Collaborative Extraction of Intervariable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces.
IEEE Trans. Instrum. Meas., 2023

2022
Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach.
IEEE Trans. Instrum. Meas., 2022


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