Yiping Gao

Int. J. Comput. Integr. Manuf., February, 2024

Deep Feature Contrasting for Industrial Image Anomaly Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

An Incremental Knowledge Learning Framework for Continuous Defect Detection.

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[DOI]

IEEE Trans. Instrum. Meas., 2024

2023

A hierarchical training-convolutional neural network with feature alignment for steel surface defect recognition.

[BibT_eX]

[DOI]

Robotics Comput. Integr. Manuf., June, 2023

Simple Parameter-free Self-attention Approximation.

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[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

An Adaptive Discrete Whale Swarm Algorithm for the Distributed Job-Shop Scheduling Problem with Limited AGVs.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Frustum-LDGCNN: A High Efficient 3D Object Detection Network with Frustum Proposal.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

A Hierarchical Training-Convolutional Neural Network for Imbalanced Fault Diagnosis in Complex Equipment.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

A Graph Guided Convolutional Neural Network for Surface Defect Recognition.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

Semi-Supervised Defect Detection Method with Data-Expanding Strategy for PCB Quality Inspection.

[BibT_eX]

[DOI]

Sensors, 2022

Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis.

[BibT_eX]

[DOI]

Sensors, 2022

A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Zero-shot surface defect recognition with class knowledge graph.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2022

An Effective Point Cloud Classification Method Based on Improved Non-local Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Anchor-based Detection and Height Estimation Framework for Particle Defects on Cathodic Copper Plate Surface.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

A New Graph-Based Method for Class Imbalance in Surface Defect Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

A Generative Adversarial Network Based Deep Learning Method for Low-Quality Defect Image Reconstruction and Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

A new graph-based semi-supervised method for surface defect classification.

[BibT_eX]

[DOI]

Robotics Comput. Integr. Manuf., 2021

A Deep Lifelong Learning Method for Digital-Twin Driven Defect Recognition With Novel Classes.

[BibT_eX]

[DOI]

J. Comput. Inf. Sci. Eng., 2021

A new Feature-Fusion method based on training dataset prototype for surface defect recognition.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2021

A Genetic Algorithm-Based Ensemble Convolutional Neural Networks for Defect Recognition with Small-Scale Samples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

2020

A Multilevel Information Fusion-Based Deep Learning Method for Vision-Based Defect Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2020

A semi-supervised convolutional neural network-based method for steel surface defect recognition.

[BibT_eX]

[DOI]

Robotics Comput. Integr. Manuf., 2020

A zero-shot learning method for fault diagnosis under unknown working loads.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2020

Discriminative stacked autoencoder for feature representation and classification.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2020

A New Semi-Supervised Deep Learning Approach for Intelligent Defects Recognition.

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[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

A Hierarchical Feature Fusion-based Method for Defect Recognition with a Small Sample.

[BibT_eX]

[DOI]