Cuixia Jiang

According to our database, Cuixia Jiang authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Remaining Useful Life Prediction Via Interactive Attention-Based Deep Spatio-Temporal Network Fusing Multisource Information.

Shixiang Lu, Zhiwei Gao, Qifa Xu, Cuixia Jiang, Tianming Xie, Aihua Zhang

IEEE Trans. Ind. Electron., 2024

Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions.

Zhenhua Fan, Qifa Xu, Cuixia Jiang, Steven X. Ding

IEEE Trans. Ind. Electron., 2024

2023

Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder.

Tianming Xie, Qifa Xu, Cuixia Jiang

Expert Syst. Appl., November, 2023

The impact of social media input intensity on reward-based crowdfunding performance: evidence from China.

Cuixia Jiang, Ranran Han, Qifa Xu

Electron. Commer. Res., September, 2023

Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks.

Cuixia Jiang, Hao Chen, Qifa Xu, Xiangxiang Wang

J. Intell. Manuf., April, 2023

A composite quantile regression long short-term memory network with group lasso for wind turbine anomaly detection.

Qifa Xu, Dongdong Wu, Cuixia Jiang, Xiangxiang Wang

J. Ambient Intell. Humaniz. Comput., March, 2023

2022

Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication.

Shixiang Lu, Zhiwei Gao, Qifa Xu, Cuixia Jiang, Aihua Zhang, Xiangxiang Wang

IEEE Trans. Ind. Informatics, 2022

Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis.

Zhenhua Fan, Qifa Xu, Cuixia Jiang, Steven X. Ding

Knowl. Based Syst., 2022

Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression.

Cuixia Jiang, Jun Zhu, Qifa Xu

Electron. Commer. Res., 2022

Tail dependence network of new energy vehicle industry in mainland China.

Qifa Xu, Liukai Wang, Cuixia Jiang, Fu Jia, Lujie Chen

Ann. Oper. Res., 2022

Non-rechargeable battery remaining useful life prediction with interactive attention sequence to sequence network.

Shixiang Lu, Zhiwei Gao, Qifa Xu, Cuixia Jiang, Aihua Zhang, Dongdong Wu

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.

Qifa Xu, Shuting Liu, Cuixia Jiang, Xingxuan Zhuo

Neurocomputing, 2021

Which goods are most likely to be subject to click farming? An evidence from the Taobao platform.

Cuixia Jiang, Jun Zhu, Qifa Xu

Electron. Commer. Res. Appl., 2021

Reverse restricted MIDAS model with application to US interest rate forecasts.

Qifa Xu, Xingxuan Zhuo, Cuixia Jiang, Fang Sun, Xue Huang

Commun. Stat. Simul. Comput., 2021

2020

A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns.

Qifa Xu, Liukai Wang, Cuixia Jiang, Yezheng Liu

Neural Comput. Appl., 2020

Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning.

Qifa Xu, Shixiang Lu, Weiyin Jia, Cuixia Jiang

J. Intell. Manuf., 2020

The impact of soft information extracted from descriptive text on crowdfunding performance.

Cuixia Jiang, Ranran Han, Qifa Xu, Yezheng Liu

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.

Qifa Xu, Zhongpu Bo, Cuixia Jiang, Yezheng Liu

Knowl. Based Syst., 2019

An artificial neural network for mixed frequency data.

Qifa Xu, Xingxuan Zhuo, Cuixia Jiang, Yezheng Liu

Expert Syst. Appl., 2019

A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility.

Qifa Xu, Liukai Wang, Cuixia Jiang, Xin Zhang

Expert Syst. Appl., 2019

2018

Sampling Lasso quantile regression for large-scale data.

Qifa Xu, Chao Cai, Cuixia Jiang, Fang Sun, Xue Huang

Commun. Stat. Simul. Comput., 2018

2017

Expectile regression neural network model with applications.

Cuixia Jiang, Ming Jiang, Qifa Xu, Xue Huang

Neurocomputing, 2017

Composite quantile regression neural network with applications.

Qifa Xu, Kai Deng, Cuixia Jiang, Fang Sun, Xue Huang

Expert Syst. Appl., 2017

2016

An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR.

Qifa Xu, Cuixia Jiang, Yaoyao He

Stat. Methods Appl., 2016

Quantile autoregression neural network model with applications to evaluating value at risk.

Qifa Xu, Xi Liu, Cuixia Jiang, Keming Yu

Appl. Soft Comput., 2016

2015

Weighted quantile regression via support vector machine.

Qifa Xu, Jinxiu Zhang, Cuixia Jiang, Xue Huang, Yaoyao He

Expert Syst. Appl., 2015