Yucheng Wang

Orcid: 0000-0002-8679-3851

Affiliations:

Nanyang Technological University, Jurong West, Singapore

According to our database¹, Yucheng Wang authored at least 20 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2025

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification.

[BibT_eX]

[DOI]

CoRR, January, 2025

Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition.

[BibT_eX]

[DOI]

Neural Networks, 2025

2024

SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., January, 2024

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.

[BibT_eX]

[DOI]

CoRR, 2024

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data.

[BibT_eX]

[DOI]

CoRR, 2024

Graph-Aware Contrasting for Multivariate Time-Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Contextual Contrasting for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2023

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Graph Guided Convolutional Neural Network for Surface Defect Recognition.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

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

[BibT_eX]

[DOI]

Robotics Comput. Integr. Manuf., 2021

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

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2021

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

Yucheng Wang

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