Cuixia Jiang
Orcid: 0000-0002-6900-8049Affiliations:
- Hefei University of Technology, Anhui, China
According to our database1,
Cuixia Jiang
authored at least 30 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Adaptive Working Condition Recognition With Clustering-Based Contrastive Learning for Unsupervised Anomaly Detection.
IEEE Trans. Ind. Informatics, October, 2024
A Robust Anomaly Detection Model for Pumps Based on the Spectral Residual With Self-Attention Variational Autoencoder.
IEEE Trans. Ind. Informatics, June, 2024
Remaining Useful Life Prediction Via Interactive Attention-Based Deep Spatio-Temporal Network Fusing Multisource Information.
IEEE Trans. Ind. Electron., 2024
Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions.
IEEE Trans. Ind. Electron., 2024
Data-driven predictive maintenance framework considering the multi-source information fusion and uncertainty in remaining useful life prediction.
Knowl. Based Syst., 2024
Deep factor asset pricing with policy guidance based on multi-source heterogeneous information.
Appl. Soft Comput., 2024
2023
Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder.
Expert Syst. Appl., November, 2023
The impact of social media input intensity on reward-based crowdfunding performance: evidence from China.
Electron. Commer. Res., September, 2023
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks.
J. Intell. Manuf., April, 2023
A composite quantile regression long short-term memory network with group lasso for wind turbine anomaly detection.
J. Ambient Intell. Humaniz. Comput., March, 2023
2022
Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication.
IEEE Trans. Ind. Informatics, 2022
Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis.
Knowl. Based Syst., 2022
Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression.
Electron. Commer. Res., 2022
Ann. Oper. Res., 2022
Non-rechargeable battery remaining useful life prediction with interactive attention sequence to sequence network.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022
2021
QRNN-MIDAS: A novel quantile regression neural network for mixed sampling frequency data.
Neurocomputing, 2021
Which goods are most likely to be subject to click farming? An evidence from the Taobao platform.
Electron. Commer. Res. Appl., 2021
Commun. Stat. Simul. Comput., 2021
2020
A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns.
Neural Comput. Appl., 2020
Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning.
J. Intell. Manuf., 2020
The impact of soft information extracted from descriptive text on crowdfunding performance.
Electron. Commer. Res. Appl., 2020
2019
Does Google search index really help predicting stock market volatility? Evidence from a modified mixed data sampling model on volatility.
Knowl. Based Syst., 2019
A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility.
Expert Syst. Appl., 2019
2018
Commun. Stat. Simul. Comput., 2018
2017
Expert Syst. Appl., 2017
2016
An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR.
Stat. Methods Appl., 2016
Quantile autoregression neural network model with applications to evaluating value at risk.
Appl. Soft Comput., 2016
2015