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Xiaoyu Jiang

Zhejiang University

China

Research Interests

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Articles (20)

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2026

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2024

Collaborators (5)

Xinggao Liu

Professor

Zhejiang University

CHINA

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Xinmin Zhang

Professor

Zhejiang University

CHINA

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Min Xie

City University of Hong Kong

HONG KONG

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Yuanqiang Zhou

Research Associate

The Hong Kong University of Science and Technology

HONG KONG

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Brent Young

A Chair in Food Process Eng

University of Auckland

NEW ZEALAND

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Xiaoyu Jiang

Research Interests

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Articles (20)

Agentic AI for Safety-Aware Process Monitoring and Fault Diagnosis: A Review

DeepFilter: A Transformer-Style Framework for Accurate and Efficient Process Monitoring

GraphSiamese: Novel spatial-temporal slow feature fusion network for industrial process quality prediction

Enhancing Few-Shot Surface Defect Recognition via Pre-Trained Large Generative Models

Information Leakage and Privacy Protection in Industrial Federated Learning

SynthFed: Privacy-preserving long-tail ophthalmic diagnosis via VQ-VAE and GPT-augmented federated learning

ABIGX: A Unified Framework for Explainable Fault Detection and Classification

Learning Beyond Time: Transformation-Aware Diffusion for Data-Augmented Soft-Sensor Modeling

Edge-Compressed and Energy-Optimized Dual-Domain Graph Network With Variational Gating for Industrial Soft Sensing

An LLM-Enabled Prior-Data Complementary Graph Convolutional Network for Industrial Soft Sensor Applications

Deep Variable-Wise Probabilistic Principal Component Analysis for Industrial Process Monitoring in the Presence of Missing Data

Empowering Industrial Federated Learning: Blockchain-Based Model Validation and Incentive Mechanism

Multilevel Fault Information Fusion Based on Deep Block-Wise Semi-Nonnegative Matrix Factorization for Industrial Fault Detection and Diagnosis

Slack More, Predict Better: Proximal Relaxation for Probabilistic Latent Variable Model-Based Soft Sensors

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples

Advancing Industrial Data Augmentation in AIGC Era: From Foundations to Frontier Applications

Leveraging Transfer Learning for Data Augmentation in Fault Diagnosis of Imbalanced Time-Frequency Images

Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics

Fault Diagnosis of Harmonic Drives Based on Markov Field Graph Information

Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification

Collaborators (5)

Xinggao Liu

Xinmin Zhang

Min Xie

Yuanqiang Zhou

Brent Young

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