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2020 – today
- 2026
[j20]Min Yin, Youqing Wang, Xin Ma
, Yining Dong:
Intelligent fault diagnosis in hybrid chemical processes under limited samples based on multi-feature fusion learning. Comput. Chem. Eng. 207: 109531 (2026)- [j19]Chen Yin, Yining Dong, Jianliang He, Yulin Wang:
A fault evolution knowledge-driven adversarial meta-learning method for few-shot tool state recognition under variable working conditions. Eng. Appl. Artif. Intell. 167: 113806 (2026) - [j18]Yang Wang, Chen Yin, Yining Dong:
Toward Interpretable Imputation: Through Discovering Spatiotemporal Patterns of Urban Metro Flow Data. IEEE Internet Things J. 13(9): 18764-18779 (2026) - [j17]Chen Yin, Tongda Sun, Haolong Wu, Yining Dong:
Trustworthy multistep-ahead remaining useful life prediction for rolling bearings with limited data. Reliab. Eng. Syst. Saf. 267: 111902 (2026) - [j16]Yang Wang, Bingyuan Li, Yining Dong:
Predictable Latent Features Learning for High-Dimensional Seasonal Time Series Analysis and Forecasting. IEEE Trans Autom. Sci. Eng. 23: 3051-3064 (2026) - 2025
- [j15]Yang Wang, Yining Dong:
Fine-Grained Monitoring With Orthogonal Projection to Dynamic Latent Structure Model for Closed-Loop Industrial IoT. IEEE Internet Things J. 12(23): 49964-49977 (2025) - [j14]Yang Wang, Yining Dong:
Balancing information and predictability: A pan latent feature model for plant-wide oscillations root cause analysis. Reliab. Eng. Syst. Saf. 260: 111036 (2025) - [j13]Tongda Sun, Chen Yin, Huailiang Zheng, Yining Dong:
An unsupervised framework for dynamic health indicator construction and its application in rolling bearing prognostics. Reliab. Eng. Syst. Saf. 260: 111039 (2025) - [j12]Jiaxin Yu, Yining Dong, S. Joe Qin:
Kernel Latent State-Space Modeling for Nonlinear Dynamic Process Monitoring. IEEE Trans. Ind. Informatics 21(9): 6701-6711 (2025) - [j11]Tongda Sun, Yining Dong, Wanqian Yang, Gang Yu:
A Novel Clustering-Guided Framework for Rotating Machinery Fault Diagnosis With Extremely Limited Labeled Data. IEEE Trans. Ind. Informatics 21(9): 6903-6914 (2025) - [j10]Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang:
EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12991-13005 (2025) - [c9]Shiqin Tang, Pengxing Feng, Shujian Yu, Yining Dong, S. Joe Qin:
A Hierarchical Taxonomy For Deep State Space Models. ICASSP 2025: 1-5 - [c8]Shiqin Tang, Shujian Yu, Yining Dong, S. Joe Qin:
Deep Dynamic Probabilistic Canonical Correlation Analysis. ICASSP 2025: 1-5 - [c7]Rushuang Zhou, Yuanting Zhang, Yining Dong:
H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models. ICML 2025 - [i9]Shiqin Tang, Shujian Yu, Yining Dong, S. Joe Qin:
Deep Dynamic Probabilistic Canonical Correlation Analysis. CoRR abs/2502.05155 (2025) - [i8]Tongda Sun, Chen Yin, Huailiang Zheng, Yining Dong:
An Unsupervised Framework for Dynamic Health Indicator Construction and Its Application in Rolling Bearing Prognostics. CoRR abs/2506.05438 (2025) - [i7]Rushuang Zhou, Yuan-Ting Zhang, M. Jamal Deen, Yining Dong:
Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation. CoRR abs/2511.02851 (2025) - [i6]Shiqin Tang, Yining Dong, S. Joe Qin:
A PLS-Integrated LASSO Method with Application in Index Tracking. CoRR abs/2511.23205 (2025) - 2024
- [j9]Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang:
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3305-3320 (2024) - [j8]Rushuang Zhou, Zhiguo Zhang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Fali Li, Xin Yang, Yining Dong, Yuan-Ting Zhang, Zhen Liang:
PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals. IEEE Trans. Affect. Comput. 15(2): 657-670 (2024) - [c6]Bingyuan Li, Yang Wang, Yang Zhao, Lishuai Li, Yining Dong:
Dynamic Feature Extraction and Prediction for High Dimensional Time Series with Seasonality. CASE 2024: 368-373 - [c5]Wenhua Jiao, Taotao Zou, Zhangcheng Xie, Shipin Yang, Yining Dong, Lijuan Li:
A MPC Performance Degradation Diagnosis Method Based on Receding Feature Horizon. CASE 2024: 2314-2319 - [c4]Xinting Zhu, Lishuai Li, Yanfang Mo, Yining Dong, Xuejin X. Shen, Xiaoyu Chen, S. Joe Qin:
Data-driven approaches for satellite SADA system health monitoring with limited data. CASE 2024: 3225-3230 - [c3]Jiaxin Yu, Yining Dong, S. Joe Qin:
Kernel Latent Vector Autoregressive Model for Nonlinear Dynamic Data Modeling and Monitoring. CDC 2024: 565-570 - [c2]Shiqin Tang, Yining Dong, S. Joe Qin:
A PLS-Integrated Lasso Method With Application in Index Tracking. ICASSP 2024: 6520-6524 - [i5]Rushuang Zhou, Zijun Liu, Lei A. Clifton, David A. Clifton, Kannie W. Y. Chan, Yuan-Ting Zhang, Yining Dong:
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection. CoRR abs/2406.14377 (2024) - 2023
- [j7]Yuxuan Zhou, Yining Dong, Gang Tang:
Time-Varying Online Transfer Learning for Intelligent Bearing Fault Diagnosis With Incomplete Unlabeled Target Data. IEEE Trans. Ind. Informatics 19(6): 7733-7741 (2023) - [i4]Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang:
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition. CoRR abs/2304.06496 (2023) - [i3]Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang:
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study. CoRR abs/2306.10494 (2023) - 2022
- [i2]Rushuang Zhou, Zhiguo Zhang, Xin Yang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, Zhen Liang:
A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition. CoRR abs/2202.06509 (2022) - 2021
- [j6]Si-Zhao Joe Qin, Yingxiang Liu, Yining Dong:
Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis. Comput. Chem. Eng. 152: 107392 (2021) - [j5]Yuxuan Zhou, Yining Dong, Hongkuan Zhou, Gang Tang:
Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [i1]Shane T. Barratt, Yining Dong, Stephen P. Boyd:
Low Rank Forecasting. CoRR abs/2101.12414 (2021) - 2020
- [j4]Si-Zhao Joe Qin, Yining Dong, Qinqin Zhu, Jin Wang, Qiang Liu:
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring. Annu. Rev. Control. 50: 29-48 (2020) - [j3]Qinqin Zhu, Si-Zhao Joe Qin, Yining Dong:
Dynamic latent variable regression for inferential sensor modeling and monitoring. Comput. Chem. Eng. 137: 106809 (2020) - [j2]Yining Dong, Yingxiang Liu, Si-Zhao Joe Qin:
Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data. IEEE Trans. Ind. Informatics 16(6): 4068-4076 (2020) - [c1]Yining Dong, Si-Zhao Joe Qin:
Dynamic-Inner Canonical Correlation Analysis based Process Monitoring. ACC 2020: 3553-3558
2010 – 2019
- 2018
- [j1]Yining Dong, Si-Zhao Joe Qin:
Dynamic latent variable analytics for process operations and control. Comput. Chem. Eng. 114: 69-80 (2018)
Coauthor Index
aka: Si-Zhao Joe Qin
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