Dynamic latent variable analytics for process operations and control. - Yining Dong; Si-Zhao Joe Qin (Comput. Chem. Eng., 2018)

Dynamic-Inner Canonical Correlation Analysis based Process Monitoring. - Yining Dong; Si-Zhao Joe Qin (ACC, 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 030; Qiang Liu 018 (Annu. Rev. Control., 2020)

Dynamic latent variable regression for inferential sensor modeling and monitoring. - Qinqin Zhu; Si-Zhao Joe Qin; Yining Dong (Comput. Chem. Eng., 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)

Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis. - Si-Zhao Joe Qin; Yingxiang Liu; Yining Dong (Comput. Chem. Eng., 2021)

Low Rank Forecasting. - Shane T. Barratt; Yining Dong; Stephen P. Boyd (CoRR, 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)

A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition. - Rushuang Zhou; Zhiguo Zhang 001; Xin Yang 009; Hong Fu; Li Zhang 041; Linling Li; Gan Huang; Yining Dong; Fali Li; Zhen Liang (CoRR, 2022)

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition. - Rushuang Zhou; Weishan Ye; Zhiguo Zhang 001; Yanyang Luo; Li Zhang 041; Linling Li; Gan Huang; Yining Dong; Yuan-Ting Zhang; Zhen Liang (CoRR, 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, 2023)

A MPC Performance Degradation Diagnosis Method Based on Receding Feature Horizon. - Wenhua Jiao; Taotao Zou; Zhangcheng Xie; Shipin Yang; Yining Dong; Lijuan Li (CASE, 2024)

Dynamic Feature Extraction and Prediction for High Dimensional Time Series with Seasonality. - Bingyuan Li; Yang Wang 094; Yang Zhao 009; Lishuai Li; Yining Dong (CASE, 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 (CASE, 2024)

Kernel Latent Vector Autoregressive Model for Nonlinear Dynamic Data Modeling and Monitoring. - Jiaxin Yu; Yining Dong; S. Joe Qin (CDC, 2024)

A PLS-Integrated Lasso Method With Application in Index Tracking. - Shiqin Tang; Yining Dong; S. Joe Qin (ICASSP, 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)

PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals. - Rushuang Zhou; Zhiguo Zhang 001; Hong Fu; Li Zhang 041; Linling Li; Gan Huang; Fali Li; Xin Yang 009; Yining Dong; Yuan-Ting Zhang; Zhen Liang (IEEE Trans. Affect. Comput., 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., 2024)

A Hierarchical Taxonomy For Deep State Space Models. - Shiqin Tang; Pengxing Feng; Shujian Yu; Yining Dong; S. Joe Qin (ICASSP, 2025)

Deep Dynamic Probabilistic Canonical Correlation Analysis. - Shiqin Tang; Shujian Yu; Yining Dong; S. Joe Qin (ICASSP, 2025)

An unsupervised framework for dynamic health indicator construction and its application in rolling bearing prognostics. - Tongda Sun; Chen Yin; Huailiang Zheng; Yining Dong (Reliab. Eng. Syst. Saf., 2025)

Balancing information and predictability: A pan latent feature model for plant-wide oscillations root cause analysis. - Yang Wang 094; Yining Dong (Reliab. Eng. Syst. Saf., 2025)

EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition. - Rushuang Zhou; Weishan Ye; Zhiguo Zhang 001; Yanyang Luo; Li Zhang 041; Linling Li; Gan Huang; Yining Dong; Yuan-Ting Zhang; Zhen Liang (IEEE Trans. Neural Networks Learn. Syst., 2025)