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Journal Articles
- 2024
[j35]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)- [j34]Qifa Xu, Zhiwei Wang, Cuixia Jiang, Zhenglei Jing:
Data-driven predictive maintenance framework considering the multi-source information fusion and uncertainty in remaining useful life prediction. Knowl. Based Syst. 303: 112408 (2024) - [j33]Shixiang Lu, Zhiwei Gao, Ping Zhang, Qifa Xu, Tianming Xie, Aihua Zhang:
Event-Triggered Federated Learning for Fault Diagnosis of Offshore Wind Turbines With Decentralized Data. IEEE Trans Autom. Sci. Eng. 21(2): 1271-1283 (2024) - [j32]Liukai Wang, Fu Jia, Lujie Chen, Qifa Xu:
The Effect of Development of Social Good Products on Market Value: Evidence From Vaccine Manufacturing Enterprises. IEEE Trans. Engineering Management 71: 626-637 (2024) - [j31]Zhenhua Fan, Qifa Xu, Cuixia Jiang, Steven X. Ding:
Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions. IEEE Trans. Ind. Electron. 71(1): 965-974 (2024) - [j30]Shixiang Lu, Zhiwei Gao, Qifa Xu, Cuixia Jiang, Tianming Xie, Aihua Zhang:
Remaining Useful Life Prediction Via Interactive Attention-Based Deep Spatio-Temporal Network Fusing Multisource Information. IEEE Trans. Ind. Electron. 71(7): 8007-8016 (2024) - [j29]Tianming Xie, Qifa Xu, Cuixia Jiang, Zhiwei Gao, Xiangxiang Wang:
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) - [j28]Qifa Xu, Tianming Xie, Cuixia Jiang, Qiliang Cheng, Xiangxiang Wang:
Adaptive Working Condition Recognition With Clustering-Based Contrastive Learning for Unsupervised Anomaly Detection. IEEE Trans. Ind. Informatics 20(10): 12103-12113 (2024) - 2023
- [j27]Liukai Wang, Fu Jia, Lujie Chen, Qifa Xu:
Forecasting SMEs' credit risk in supply chain finance with a sampling strategy based on machine learning techniques. Ann. Oper. Res. 331(1): 1-33 (2023) - [j26]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) - [j25]Tianming Xie, Qifa Xu, Cuixia Jiang:
Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder. Expert Syst. Appl. 231: 120725 (2023) - [j24]Qifa Xu, Dongdong Wu, Cuixia Jiang, Xiangxiang Wang:
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) - [j23]Cuixia Jiang, Hao Chen, Qifa Xu, Xiangxiang Wang:
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks. J. Intell. Manuf. 34(4): 1667-1681 (2023) - 2022
- [j22]Qifa Xu, Liukai Wang, Cuixia Jiang, Fu Jia, Lujie Chen:
Tail dependence network of new energy vehicle industry in mainland China. Ann. Oper. Res. 315(1): 565-590 (2022) - [j21]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) - [j20]Zhenhua Fan, Qifa Xu, Cuixia Jiang, Steven X. Ding:
Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis. Knowl. Based Syst. 240: 108149 (2022) - [j19]Shixiang Lu, Zhiwei Gao, Qifa Xu, Cuixia Jiang, Aihua Zhang, Xiangxiang Wang:
Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication. IEEE Trans. Ind. Informatics 18(12): 9101-9111 (2022) - 2021
- [j18]Qifa Xu, Xingxuan Zhuo, Cuixia Jiang, Fang Sun, Xue Huang:
Reverse restricted MIDAS model with application to US interest rate forecasts. Commun. Stat. Simul. Comput. 50(2): 462-482 (2021) - [j17]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) - [j16]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) - [j15]Liukai Wang, Fu Jia, Lujie Chen, Qifa Xu, Xiao Lin:
Exploring the dependence structure among Chinese firms in the 5G industry. Ind. Manag. Data Syst. 121(2): 409-435 (2021) - 2020
- [j14]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) - [j13]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) - [j12]Qifa Xu, Liukai Wang, Cuixia Jiang, Yezheng Liu:
A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns. Neural Comput. Appl. 32(10): 5875-5888 (2020) - 2019
- [j11]Qifa Xu, Xingxuan Zhuo, Cuixia Jiang, Yezheng Liu:
An artificial neural network for mixed frequency data. Expert Syst. Appl. 118: 127-139 (2019) - [j10]Qifa Xu, Liukai Wang, Cuixia Jiang, Xin Zhang:
A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility. Expert Syst. Appl. 132: 12-27 (2019) - [j9]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
- [j8]Qifa Xu, Chao Cai, Cuixia Jiang, Fang Sun, Xue Huang:
Sampling Lasso quantile regression for large-scale data. Commun. Stat. Simul. Comput. 47(1): 92-114 (2018) - [j7]Yaoyao He, Qifa Xu, Jinhong Wan, Shanlin Yang:
Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map. Neural Comput. Appl. 29(7): 603-612 (2018) - 2017
- [j6]Qifa Xu, Kai Deng, Cuixia Jiang, Fang Sun, Xue Huang:
Composite quantile regression neural network with applications. Expert Syst. Appl. 76: 129-139 (2017) - [j5]Cuixia Jiang, Ming Jiang, Qifa Xu, Xue Huang:
Expectile regression neural network model with applications. Neurocomputing 247: 73-86 (2017) - 2016
- [j4]Qifa Xu, Xi Liu, Cuixia Jiang, Keming Yu:
Quantile autoregression neural network model with applications to evaluating value at risk. Appl. Soft Comput. 49: 1-12 (2016) - [j3]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
- [j2]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) - 2013
- [j1]Yaoyao He, Shanlin Yang, Qifa Xu:
Short-term cascaded hydroelectric system scheduling based on chaotic particle swarm optimization using improved logistic map. Commun. Nonlinear Sci. Numer. Simul. 18(7): 1746-1756 (2013)
Conference and Workshop Papers
- 2022
- [c2]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 - 2010
- [c1]Qifa Xu, Shaojie Liu, Jingdong Liu:
A new method for dynamic portfolio choice based on copulas. ICNC 2010: 2729-2733
Coauthor Index
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