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We stand with Ukraine

Yining Dong

Orcid: 0000-0002-4617-6947

According to our database¹, Yining Dong authored at least 34 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Predictable Latent Features Learning for High-Dimensional Seasonal Time Series Analysis and Forecasting.

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IEEE Trans Autom. Sci. Eng., 2026

Trustworthy multistep-ahead remaining useful life prediction for rolling bearings with limited data.

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Reliab. Eng. Syst. Saf., 2026

Toward Interpretable Imputation: Through Discovering Spatiotemporal Patterns of Urban Metro Flow Data.

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IEEE Internet Things J., 2026

A fault evolution knowledge-driven adversarial meta-learning method for few-shot tool state recognition under variable working conditions.

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Eng. Appl. Artif. Intell., 2026

Intelligent fault diagnosis in hybrid chemical processes under limited samples based on multi-feature fusion learning.

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Comput. Chem. Eng., 2026

2025

Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation.

[DOI]

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Yuan-Ting Zhang

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CoRR, November, 2025

Kernel Latent State-Space Modeling for Nonlinear Dynamic Process Monitoring.

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IEEE Trans. Ind. Informatics, September, 2025

A Novel Clustering-Guided Framework for Rotating Machinery Fault Diagnosis With Extremely Limited Labeled Data.

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IEEE Trans. Ind. Informatics, September, 2025

EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition.

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Yuan-Ting Zhang

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

Balancing information and predictability: A pan latent feature model for plant-wide oscillations root cause analysis.

[DOI]

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Reliab. Eng. Syst. Saf., 2025

An unsupervised framework for dynamic health indicator construction and its application in rolling bearing prognostics.

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Huailiang Zheng

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Reliab. Eng. Syst. Saf., 2025

Fine-Grained Monitoring With Orthogonal Projection to Dynamic Latent Structure Model for Closed-Loop Industrial IoT.

[DOI]

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IEEE Internet Things J., 2025

H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Deep Dynamic Probabilistic Canonical Correlation Analysis.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

A Hierarchical Taxonomy For Deep State Space Models.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study.

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David A. Clifton

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Yuan-Ting Zhang

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

PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals.

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Yuan-Ting Zhang

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IEEE Trans. Affect. Comput., 2024

Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection.

[DOI]

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David A. Clifton

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Kannie W. Y. Chan

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Yuan-Ting Zhang

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CoRR, 2024

A PLS-Integrated Lasso Method With Application in Index Tracking.

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Proceedings of the IEEE International Conference on Acoustics, 2024

Kernel Latent Vector Autoregressive Model for Nonlinear Dynamic Data Modeling and Monitoring.

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Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Data-driven approaches for satellite SADA system health monitoring with limited data.

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Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Dynamic Feature Extraction and Prediction for High Dimensional Time Series with Seasonality.

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Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

A MPC Performance Degradation Diagnosis Method Based on Receding Feature Horizon.

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Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Time-Varying Online Transfer Learning for Intelligent Bearing Fault Diagnosis With Incomplete Unlabeled Target Data.

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IEEE Trans. Ind. Informatics, June, 2023

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition.

[DOI]

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Yuan-Ting Zhang

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CoRR, 2023

2022

A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition.

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CoRR, 2022

2021

Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance.

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IEEE Trans. Instrum. Meas., 2021

Low Rank Forecasting.

[DOI]

Shane T. Barratt

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Stephen P. Boyd

CoRR, 2021

Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis.

[DOI]

Si-Zhao Joe Qin

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Comput. Chem. Eng., 2021

2020

Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data.

[DOI]

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Si-Zhao Joe Qin

IEEE Trans. Ind. Informatics, 2020

Dynamic latent variable regression for inferential sensor modeling and monitoring.

[DOI]

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Si-Zhao Joe Qin

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Comput. Chem. Eng., 2020

Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.

[DOI]

Si-Zhao Joe Qin

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Annu. Rev. Control., 2020

Dynamic-Inner Canonical Correlation Analysis based Process Monitoring.

[DOI]

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Si-Zhao Joe Qin

Proceedings of the 2020 American Control Conference, 2020

2018

Dynamic latent variable analytics for process operations and control.

[DOI]

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Si-Zhao Joe Qin

Comput. Chem. Eng., 2018

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