Weihua Gui
Taiyuan, 030013, China
Last Updated: 09/26/2026
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Found 21 publications
A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data.
Journal: IEEE transactions on neural networks and learning systems
Published: June 18, 2025
Semi-Heterogeneous Graph-Perception Network With Gradient-Weighted Class Activation Mapping for Class-Incremental Industrial Fault Recognition and Root Cause Diagnosis.
Journal: IEEE transactions on neural networks and learning systems
Published: May 19, 2025
Generalized Cross-Domain Industrial Process Monitoring via Adaptive Discriminative Transfer Dictionary Pair Learning With Attribute Embedding.
Journal: IEEE transactions on neural networks and learning systems
Published: May 07, 2025
Vertex Cover of Networks and Its Related Optimization Problems: An Overview.
Journal: IEEE transactions on neural networks and learning systems
Published: March 03, 2025
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences.
Journal: IEEE transactions on neural networks and learning systems
Published: April 24, 2024
Adaptive Neural Consensus Observer Networks Design for a Class of Semilinear Parabolic PDE Systems.
Journal: IEEE transactions on neural networks and learning systems
Published: April 10, 2024
Reinforcement Learning for Blast Furnace Ironmaking Operation With Safety and Partial Observation Considerations.
Journal: IEEE transactions on neural networks and learning systems
Published: January 17, 2024
A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes.
Journal: IEEE transactions on neural networks and learning systems
Published: November 08, 2023
VAE-Based Interpretable Latent Variable Model for Process Monitoring.
Journal: IEEE transactions on neural networks and learning systems
Published: June 13, 2023
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes.
Journal: IEEE transactions on neural networks and learning systems
Published: April 05, 2023
Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning.
Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning.
Journal: IEEE transactions on neural networks and learning systems
Published: June 28, 2022
Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance.
Journal: IEEE transactions on neural networks and learning systems
Published: May 24, 2022
Last Updated: 09/26/2026