Qifa Xu

Orcid: 0000-0001-7476-4511

According to our database1, Qifa Xu authored at least 37 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Event-Triggered Federated Learning for Fault Diagnosis of Offshore Wind Turbines With Decentralized Data.
IEEE Trans Autom. Sci. Eng., April, 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

The Effect of Development of Social Good Products on Market Value: Evidence From Vaccine Manufacturing Enterprises.
IEEE Trans. Engineering Management, 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
Forecasting SMEs' credit risk in supply chain finance with a sampling strategy based on machine learning techniques.
Ann. Oper. Res., December, 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

Tail dependence network of new energy vehicle industry in mainland China.
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
Exploring the dependence structure among Chinese firms in the 5G industry.
Ind. Manag. Data Syst., 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

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

An artificial neural network for mixed frequency data.
Expert Syst. Appl., 2019

A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility.
Expert Syst. Appl., 2019

2018
Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map.
Neural Comput. Appl., 2018

Sampling Lasso quantile regression for large-scale data.
Commun. Stat. Simul. Comput., 2018

2017
Expectile regression neural network model with applications.
Neurocomputing, 2017

Composite quantile regression neural network with applications.
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
Weighted quantile regression via support vector machine.
Expert Syst. Appl., 2015

2013
Short-term cascaded hydroelectric system scheduling based on chaotic particle swarm optimization using improved logistic map.
Commun. Nonlinear Sci. Numer. Simul., 2013

2010
A new method for dynamic portfolio choice based on copulas.
Proceedings of the Sixth International Conference on Natural Computation, 2010


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