A new method for dynamic portfolio choice based on copulas. - Qifa Xu; Shaojie Liu; Jingdong Liu (ICNC, 2010)

Short-term cascaded hydroelectric system scheduling based on chaotic particle swarm optimization using improved logistic map. - Yaoyao He; Shanlin Yang; Qifa Xu (Commun. Nonlinear Sci. Numer. Simul., 2013)

Weighted quantile regression via support vector machine. - Qifa Xu; Jinxiu Zhang; Cuixia Jiang; Xue Huang; Yaoyao He (Expert Syst. Appl., 2015)

Quantile autoregression neural network model with applications to evaluating value at risk. - Qifa Xu; Xi Liu; Cuixia Jiang; Keming Yu (Appl. Soft Comput., 2016)

An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR. - Qifa Xu; Cuixia Jiang; Yaoyao He (Stat. Methods Appl., 2016)

Composite quantile regression neural network with applications. - Qifa Xu; Kai Deng; Cuixia Jiang; Fang Sun; Xue Huang (Expert Syst. Appl., 2017)

Expectile regression neural network model with applications. - Cuixia Jiang; Ming Jiang; Qifa Xu; Xue Huang (Neurocomputing, 2017)

Sampling Lasso quantile regression for large-scale data. - Qifa Xu; Chao Cai; Cuixia Jiang; Fang Sun; Xue Huang (Commun. Stat. Simul. Comput., 2018)

Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map. - Yaoyao He; Qifa Xu; Jinhong Wan; Shanlin Yang (Neural Comput. Appl., 2018)

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)

An artificial neural network for mixed frequency data. - Qifa Xu; Xingxuan Zhuo; Cuixia Jiang; Yezheng Liu 001 (Expert Syst. Appl., 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 001 (Knowl. Based Syst., 2019)

The impact of soft information extracted from descriptive text on crowdfunding performance. - Cuixia Jiang; Ranran Han; Qifa Xu; Yezheng Liu 001 (Electron. Commer. Res. 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)

A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns. - Qifa Xu; Liukai Wang; Cuixia Jiang; Yezheng Liu 001 (Neural Comput. Appl., 2020)

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)

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)

QRNN-MIDAS: A novel quantile regression neural network for mixed sampling frequency data. - Qifa Xu; Shuting Liu; Cuixia Jiang; Xingxuan Zhuo (Neurocomputing, 2021)

Exploring the dependence structure among Chinese firms in the 5G industry. - Liukai Wang; Fu Jia; Lujie Chen; Qifa Xu; Xiao Lin (Ind. Manag. Data Syst., 2021)

Non-rechargeable battery remaining useful life prediction with interactive attention sequence to sequence network. - Shixiang Lu; Zhiwei Gao 001; Qifa Xu; Cuixia Jiang; Aihua Zhang 003; Dongdong Wu (INDIN, 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)

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)

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)

Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication. - Shixiang Lu; Zhiwei Gao 001; Qifa Xu; Cuixia Jiang; Aihua Zhang 003; Xiangxiang Wang (IEEE Trans. Ind. Informatics, 2022)

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., 2023)

Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks. - Cuixia Jiang; Hao Chen; Qifa Xu; Xiangxiang Wang (J. Intell. Manuf., 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., 2023)

Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder. - Tianming Xie; Qifa Xu; Cuixia Jiang (Expert Syst. Appl., 2023)

Forecasting SMEs' credit risk in supply chain finance with a sampling strategy based on machine learning techniques. - Liukai Wang; Fu Jia; Lujie Chen; Qifa Xu (Ann. Oper. Res., 2023)

Deep factor asset pricing with policy guidance based on multi-source heterogeneous information. - Zezhou Wang; Qifa Xu; Cuixia Jiang (Appl. Soft Comput., 2024)

Data-driven predictive maintenance framework considering the multi-source information fusion and uncertainty in remaining useful life prediction. - Qifa Xu; Zhiwei Wang; Cuixia Jiang; Zhenglei Jing (Knowl. Based Syst., 2024)

The Effect of Development of Social Good Products on Market Value: Evidence From Vaccine Manufacturing Enterprises. - Liukai Wang; Fu Jia; Lujie Chen; Qifa Xu (IEEE Trans. Engineering Management, 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)

Remaining Useful Life Prediction Via Interactive Attention-Based Deep Spatio-Temporal Network Fusing Multisource Information. - Shixiang Lu; Zhiwei Gao 001; Qifa Xu; Cuixia Jiang; Tianming Xie; Aihua Zhang 003 (IEEE Trans. Ind. Electron., 2024)

Event-Triggered Federated Learning for Fault Diagnosis of Offshore Wind Turbines With Decentralized Data. - Shixiang Lu; Zhiwei Gao 001; Ping Zhang 022; Qifa Xu; Tianming Xie; Aihua Zhang 003 (IEEE Trans Autom. Sci. Eng., 2024)

A Robust Anomaly Detection Model for Pumps Based on the Spectral Residual With Self-Attention Variational Autoencoder. - Tianming Xie; Qifa Xu; Cuixia Jiang; Zhiwei Gao 001; Xiangxiang Wang (IEEE Trans. Ind. Informatics, 2024)

Adaptive Working Condition Recognition With Clustering-Based Contrastive Learning for Unsupervised Anomaly Detection. - Qifa Xu; Tianming Xie; Cuixia Jiang; Qiliang Cheng; Xiangxiang Wang (IEEE Trans. Ind. Informatics, 2024)

Enhancing Multivariate Time Series Anomaly Detection With an Inference Stacked Recurrent-Autoencoder in Strong Mechanistic Contexts. - Tianming Xie; David Zhiwei Gao; Qifa Xu; Cuixia Jiang; Aihua Zhang 003 (IEEE Trans. Ind. Informatics, 2025)

Adaptive Ordinal Sample-Weighted Meta-ResNet for Fault Severity Classification Under Class Imbalance. - Qifa Xu; Zhenglei Jin; Cuixia Jiang; Zheng Liu 002 (IEEE Trans. Ind. Informatics, 2025)