Yining Dong

According to our database, Yining Dong authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, 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.

Rushuang Zhou, Zhiguo Zhang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Fali Li, Xin Yang, Yining Dong, Yuan-Ting Zhang, Zhen Liang

IEEE Trans. Affect. Comput., 2024

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

Rushuang Zhou, Zijun Liu, Lei A. Clifton, David A. Clifton, Kannie W. Y. Chan, Yuan-Ting Zhang, Yining Dong

CoRR, 2024

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

Shiqin Tang, Yining Dong, S. Joe Qin

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Xinting Zhu, Lishuai Li, Yanfang Mo, Yining Dong, Xuejin X. Shen, Xiaoyu Chen, S. Joe Qin

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.

Bingyuan Li, Yang Wang, Yang Zhao, Lishuai Li, Yining Dong

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

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

Wenhua Jiao, Taotao Zou, Zhangcheng Xie, Shipin Yang, Yining Dong, Lijuan Li

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.

Yuxuan Zhou, Yining Dong, Gang Tang

IEEE Trans. Ind. Informatics, June, 2023

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

Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang

CoRR, 2023

2022

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

Rushuang Zhou, Zhiguo Zhang, Xin Yang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, Zhen Liang

CoRR, 2022

2021

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

Yuxuan Zhou, Yining Dong, Hongkuan Zhou, Gang Tang

IEEE Trans. Instrum. Meas., 2021

Low Rank Forecasting.

Shane T. Barratt, Yining Dong, Stephen P. Boyd

CoRR, 2021

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

Si-Zhao Joe Qin, Yingxiang Liu, Yining Dong

Comput. Chem. Eng., 2021

2020

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

Yining Dong, Yingxiang Liu, Si-Zhao Joe Qin

IEEE Trans. Ind. Informatics, 2020

Dynamic latent variable regression for inferential sensor modeling and monitoring.

Qinqin Zhu, Si-Zhao Joe Qin, Yining Dong

Comput. Chem. Eng., 2020

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

Si-Zhao Joe Qin, Yining Dong, Qinqin Zhu, Jin Wang, Qiang Liu

Annu. Rev. Control., 2020

Dynamic-Inner Canonical Correlation Analysis based Process Monitoring.

Yining Dong, Si-Zhao Joe Qin

Proceedings of the 2020 American Control Conference, 2020

2018

Dynamic latent variable analytics for process operations and control.

Yining Dong, Si-Zhao Joe Qin

Comput. Chem. Eng., 2018