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Yuan Yao

National Tsing Hua University

Taiwan

Research Interests

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Articles (20)

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2026

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2025

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2025

Collaborators (4)

Zhixing Cao

Assistant Professor

Queen's University

CANADA

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Rizwan Safdar

Senior Lecturer

Universiti Sains Malaysia (USM)

MALAYSIA

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Jinfeng Liu

University of Alberta

CANADA

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Yuanqiang Zhou

Research Associate

The Hong Kong University of Science and Technology

HONG KONG

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Yuan Yao

Research Interests

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Articles (20)

A Knowledge-Informed Causal Neuro-Fuzzy framework for explainable and real-time process monitoring

Root cause diagnosis in industrial processes via multi-time scale Granger causality analysis

A root cause diagnosis strategy based on error correction instantaneous granger causality algorithm for non-stationary industrial processes

A hybrid DiGLPP–Kolmogorov–Arnold Network framework for robust fault detection in industrial chemical processes

Defect-aware channel selection in convolutional autoencoder thermography for enhanced infrared inspection of composite materials

DESPCA for post-alarm root cause analysis: Topology-aware fault-specific candidate-set compression in industrial processes

Convolutional embedding for small-data process modeling and extrapolation with application to twin-screw extrusion

LLM-Powered Copilot for Aspen Plus: Enabling Human–AI Collaborative Process Design

A physics-informed hybrid-fidelity surrogate model for chemical process modeling and optimization

Review of unsupervised machine learning methods in active infrared thermography for defect detection and analysis

Transfer Learning for Soft Sensors in Process Industries: A Review and Future Perspectives

Efficient background removal and defect identification in infrared thermography of CFRP composites using adaptive fixed-rank kriging

Review on deep learning-assisted soft sensors using imperfect measurements

Explainable Neural Network meets Graph Neural Network: Recent advances in process fault detection and diagnosis

Mixed-interval steam consumption modeling for industrial energy optimization via meta-learning through shared attention

Integrating process data and topology information through edge-group sparse principal component analysis for process analytics

Process monitoring and dynamic fusion of complex industrial systems: A reconstruction-based Bayesian framework

Hybrid Fusion Paradigm in Advanced Process Monitoring: A Panoramic Review and Future Perspectives

Prioritized fault detection and diagnosis in chemical industry using production loss-guided cost matrix with self-attention mechanism

Quality-aware industrial data imputation with self-supervised recovery for process soft sensor development

Collaborators (4)

Zhixing Cao

Rizwan Safdar

Jinfeng Liu

Yuanqiang Zhou

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