Yining Dong

37 papers A* 1C 1Misc 3Journal 28Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A fault evolution knowledge-driven adversarial meta-learning method for few-shot tool state recognition under variable working conditions.
Eng. Appl. Artif. Intell.
Chen Yin, Yining Dong, Jianliang He, Yulin Wang
2026 J jnl
Intelligent fault diagnosis in hybrid chemical processes under limited samples based on multi-feature fusion learning.
Comput. Chem. Eng.
Min Yin, Youqing Wang, Xin Ma, Yining Dong
2026 J jnl
Predictable Latent Features Learning for High-Dimensional Seasonal Time Series Analysis and Forecasting.
IEEE Trans Autom. Sci. Eng.
Yang Wang, Bingyuan Li, Yining Dong
2026 J jnl
Trustworthy multistep-ahead remaining useful life prediction for rolling bearings with limited data.
Reliab. Eng. Syst. Saf.
Chen Yin, Tongda Sun, Haolong Wu, Yining Dong
2025 Misc conf
A Hierarchical Taxonomy For Deep State Space Models.
ICASSP
Shiqin Tang, Pengxing Feng, Shujian Yu, Yining Dong, S. Joe Qin
2025 J jnl
A Novel Clustering-Guided Framework for Rotating Machinery Fault Diagnosis With Extremely Limited Labeled Data.
IEEE Trans. Ind. Informatics
Tongda Sun, Yining Dong, Wanqian Yang, Gang Yu
2025 J jnl
A PLS-Integrated LASSO Method with Application in Index Tracking.
CoRR
Shiqin Tang, Yining Dong, S. Joe Qin
2025 J jnl
An Unsupervised Framework for Dynamic Health Indicator Construction and Its Application in Rolling Bearing Prognostics.
CoRR
Tongda Sun, Chen Yin, Huailiang Zheng, Yining Dong
2025 J jnl
An unsupervised framework for dynamic health indicator construction and its application in rolling bearing prognostics.
Reliab. Eng. Syst. Saf.
Tongda Sun, Chen Yin, Huailiang Zheng, Yining Dong
2025 J jnl
Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation.
CoRR
Rushuang Zhou, Yuan-Ting Zhang, M. Jamal Deen, Yining Dong
2025 J jnl
Balancing information and predictability: A pan latent feature model for plant-wide oscillations root cause analysis.
Reliab. Eng. Syst. Saf.
Yang Wang, Yining Dong
2025 Misc conf
Deep Dynamic Probabilistic Canonical Correlation Analysis.
ICASSP
Shiqin Tang, Shujian Yu, Yining Dong, S. Joe Qin
2025 J jnl
Deep Dynamic Probabilistic Canonical Correlation Analysis.
CoRR
Shiqin Tang, Shujian Yu, Yining Dong, S. Joe Qin
2025 J jnl
EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang
2025 J jnl
Fine-Grained Monitoring With Orthogonal Projection to Dynamic Latent Structure Model for Closed-Loop Industrial IoT.
IEEE Internet Things J.
Yang Wang, Yining Dong
2025 A* conf
H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models.
ICML
Rushuang Zhou, Yuanting Zhang, Yining Dong
2025 J jnl
Kernel Latent State-Space Modeling for Nonlinear Dynamic Process Monitoring.
IEEE Trans. Ind. Informatics
Jiaxin Yu, Yining Dong, S. Joe Qin
2024 — conf
A MPC Performance Degradation Diagnosis Method Based on Receding Feature Horizon.
CASE
Wenhua Jiao, Taotao Zou, Zhangcheng Xie, Shipin Yang, Yining Dong, Lijuan Li
2024 Misc conf
A PLS-Integrated Lasso Method With Application in Index Tracking.
ICASSP
Shiqin Tang, Yining Dong, S. Joe Qin
2024 J jnl
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection.
CoRR
Rushuang Zhou, Zijun Liu, Lei A. Clifton, David A. Clifton, Kannie W. Y. Chan, Yuan-Ting Zhang, Yining Dong
2024 — conf
Data-driven approaches for satellite SADA system health monitoring with limited data.
CASE
Xinting Zhu, Lishuai Li, Yanfang Mo, Yining Dong, Xuejin X. Shen, Xiaoyu Chen, S. Joe Qin
2024 — conf
Dynamic Feature Extraction and Prediction for High Dimensional Time Series with Seasonality.
CASE
Bingyuan Li, Yang Wang, Yang Zhao, Lishuai Li, Yining Dong
2024 — conf
Kernel Latent Vector Autoregressive Model for Nonlinear Dynamic Data Modeling and Monitoring.
CDC
Jiaxin Yu, Yining Dong, S. Joe Qin
2024 J jnl
PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals.
IEEE Trans. Affect. Comput.
Rushuang Zhou, Zhiguo Zhang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Fali Li, Xin Yang, Yining Dong, Yuan-Ting Zhang, Zhen Liang
2024 J jnl
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study.
IEEE Trans. Pattern Anal. Mach. Intell.
Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang
2023 J jnl
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition.
CoRR
Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang
2023 J jnl
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study.
CoRR
Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang
2023 J jnl
Time-Varying Online Transfer Learning for Intelligent Bearing Fault Diagnosis With Incomplete Unlabeled Target Data.
IEEE Trans. Ind. Informatics
Yuxuan Zhou, Yining Dong, Gang Tang
2022 J jnl
A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition.
CoRR
Rushuang Zhou, Zhiguo Zhang, Xin Yang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, Zhen Liang
2021 J jnl
Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance.
IEEE Trans. Instrum. Meas.
Yuxuan Zhou, Yining Dong, Hongkuan Zhou, Gang Tang
2021 J jnl
Low Rank Forecasting.
CoRR
Shane T. Barratt, Yining Dong, Stephen P. Boyd
2021 J jnl
Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis.
Comput. Chem. Eng.
Si-Zhao Joe Qin, Yingxiang Liu, Yining Dong
2020 J jnl
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.
Annu. Rev. Control.
Si-Zhao Joe Qin, Yining Dong, Qinqin Zhu, Jin Wang, Qiang Liu
2020 J jnl
Dynamic latent variable regression for inferential sensor modeling and monitoring.
Comput. Chem. Eng.
Qinqin Zhu, Si-Zhao Joe Qin, Yining Dong
2020 C conf
Dynamic-Inner Canonical Correlation Analysis based Process Monitoring.
ACC
Yining Dong, Si-Zhao Joe Qin
2020 J jnl
Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data.
IEEE Trans. Ind. Informatics
Yining Dong, Yingxiang Liu, Si-Zhao Joe Qin
2018 J jnl
Dynamic latent variable analytics for process operations and control.
Comput. Chem. Eng.
Yining Dong, Si-Zhao Joe Qin