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Cuixia Jiang
Person information
- affiliation: Hefei University of Technology, Anhui, China
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2020 – today
- 2024
- [j29]Zezhou Wang, Qifa Xu
, Cuixia Jiang
Deep factor asset pricing with policy guidance based on multi-source heterogeneous information. Appl. Soft Comput. 159: 111629 (2024) - [j28]Qifa Xu
Data-driven predictive maintenance framework considering the multi-source information fusion and uncertainty in remaining useful life prediction. Knowl. Based Syst. 303: 112408 (2024) - [j27]Zhenhua Fan
Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions. IEEE Trans. Ind. Electron. 71(1): 965-974 (2024) - [j26]Shixiang Lu
Remaining Useful Life Prediction Via Interactive Attention-Based Deep Spatio-Temporal Network Fusing Multisource Information. IEEE Trans. Ind. Electron. 71(7): 8007-8016 (2024) - [j25]Tianming Xie
A Robust Anomaly Detection Model for Pumps Based on the Spectral Residual With Self-Attention Variational Autoencoder. IEEE Trans. Ind. Informatics 20(6): 9059-9069 (2024) - [j24]Qifa Xu
Adaptive Working Condition Recognition With Clustering-Based Contrastive Learning for Unsupervised Anomaly Detection. IEEE Trans. Ind. Informatics 20(10): 12103-12113 (2024) - 2023
- [j23]Cuixia Jiang, Ranran Han, Qifa Xu
The impact of social media input intensity on reward-based crowdfunding performance: evidence from China. Electron. Commer. Res. 23(3): 1753-1774 (2023) - [j22]Tianming Xie
Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder. Expert Syst. Appl. 231: 120725 (2023) - [j21]Qifa Xu, Dongdong Wu, Cuixia Jiang
A composite quantile regression long short-term memory network with group lasso for wind turbine anomaly detection. J. Ambient Intell. Humaniz. Comput. 14(3): 2261-2274 (2023) - [j20]Cuixia Jiang, Hao Chen, Qifa Xu
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks. J. Intell. Manuf. 34(4): 1667-1681 (2023) - 2022
- [j19]Qifa Xu, Liukai Wang, Cuixia Jiang
Tail dependence network of new energy vehicle industry in mainland China. Ann. Oper. Res. 315(1): 565-590 (2022) - [j18]Cuixia Jiang, Jun Zhu, Qifa Xu
Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression. Electron. Commer. Res. 22(1): 157-176 (2022) - [j17]Zhenhua Fan
Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis. Knowl. Based Syst. 240: 108149 (2022) - [j16]Shixiang Lu, Zhiwei Gao
Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication. IEEE Trans. Ind. Informatics 18(12): 9101-9111 (2022) - [c1]Shixiang Lu, Zhiwei Gao, Qifa Xu, Cuixia Jiang, Aihua Zhang, Dongdong Wu:
Non-rechargeable battery remaining useful life prediction with interactive attention sequence to sequence network. INDIN 2022: 706-710 - 2021
- [j15]Qifa Xu, Xingxuan Zhuo
Reverse restricted MIDAS model with application to US interest rate forecasts. Commun. Stat. Simul. Comput. 50(2): 462-482 (2021) - [j14]Cuixia Jiang, Jun Zhu, Qifa Xu:
Which goods are most likely to be subject to click farming? An evidence from the Taobao platform. Electron. Commer. Res. Appl. 50: 101107 (2021) - [j13]Qifa Xu, Shuting Liu, Cuixia Jiang, Xingxuan Zhuo
QRNN-MIDAS: A novel quantile regression neural network for mixed sampling frequency data. Neurocomputing 457: 84-105 (2021) - 2020
- [j12]Cuixia Jiang, Ranran Han, Qifa Xu, Yezheng Liu:
The impact of soft information extracted from descriptive text on crowdfunding performance. Electron. Commer. Res. Appl. 43: 101002 (2020) - [j11]Qifa Xu, Shixiang Lu, Weiyin Jia, Cuixia Jiang
Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning. J. Intell. Manuf. 31(6): 1467-1481 (2020) - [j10]Qifa Xu, Liukai Wang, Cuixia Jiang
A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns. Neural Comput. Appl. 32(10): 5875-5888 (2020)
2010 – 2019
- 2019
- [j9]Qifa Xu
An artificial neural network for mixed frequency data. Expert Syst. Appl. 118: 127-139 (2019) - [j8]Qifa Xu
A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility. Expert Syst. Appl. 132: 12-27 (2019) - [j7]Qifa Xu, Zhongpu Bo, Cuixia Jiang, Yezheng Liu:
Does Google search index really help predicting stock market volatility? Evidence from a modified mixed data sampling model on volatility. Knowl. Based Syst. 166: 170-185 (2019) - 2018
- [j6]Qifa Xu, Chao Cai, Cuixia Jiang
Sampling Lasso quantile regression for large-scale data. Commun. Stat. Simul. Comput. 47(1): 92-114 (2018) - 2017
- [j5]Qifa Xu, Kai Deng, Cuixia Jiang, Fang Sun, Xue Huang:
Composite quantile regression neural network with applications. Expert Syst. Appl. 76: 129-139 (2017) - [j4]Cuixia Jiang, Ming Jiang, Qifa Xu
Expectile regression neural network model with applications. Neurocomputing 247: 73-86 (2017) - 2016
- [j3]Qifa Xu, Xi Liu
Quantile autoregression neural network model with applications to evaluating value at risk. Appl. Soft Comput. 49: 1-12 (2016) - [j2]Qifa Xu, Cuixia Jiang, Yaoyao He
An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR. Stat. Methods Appl. 25(2): 285-320 (2016) - 2015
- [j1]Qifa Xu, Jinxiu Zhang, Cuixia Jiang, Xue Huang, Yaoyao He
Weighted quantile regression via support vector machine. Expert Syst. Appl. 42(13): 5441-5451 (2015)
Coauthor Index
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