Jin Xiao

41 papers Journal 38Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Complex-Valued GMDH-Based Data Characteristic-Driven Adaptive Decision Support System for Customer Classification.
IEEE Trans. Syst. Man Cybern. Syst.
Yanlin Jia, Yadong Wang, Yan Yang, Jing Huang, Jin Xiao
2024 J jnl
Deep reinforcement learning based on balanced stratified prioritized experience replay for customer credit scoring in peer-to-peer lending.
Artif. Intell. Rev.
Yadong Wang, Yanlin Jia, Sha Fan, Jin Xiao
2024 J jnl
Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method.
Decis. Support Syst.
Jin Xiao, Zhang Wen, Xiaoyi Jiang, Lean Yu, Shouyang Wang
2023 J jnl
A bagging-based selective ensemble model for churn prediction on imbalanced data.
Expert Syst. Appl.
Bing Zhu, Cheng Qian, Seppe vanden Broucke, Jin Xiao, YuanYuan Li
2023 J jnl
Balanced incremental deep reinforcement learning based on variational autoencoder data augmentation for customer credit scoring.
Eng. Appl. Artif. Intell.
Yadong Wang, Yanlin Jia, Yu Zhong, Jing Huang, Jin Xiao
2023 J jnl
Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models.
INFORMS J. Comput.
Jin Xiao, Yuhang Tian, Yanlin Jia, Xiaoyi Jiang, Lean Yu, Shouyang Wang
2022 J jnl
A GAN-based hybrid sampling method for imbalanced customer classification.
Inf. Sci.
Bing Zhu, Xin Pan, Seppe vanden Broucke, Jin Xiao
2022 J jnl
Deep reinforcement learning with the confusion-matrix-based dynamic reward function for customer credit scoring.
Expert Syst. Appl.
Yadong Wang, Yanlin Jia, Yuhang Tian, Jin Xiao
2022 J jnl
Prediction of wind turbine blade icing fault based on selective deep ensemble model.
Knowl. Based Syst.
Jin Xiao, Chunyan Li, Bo Liu, Jing Huang, Ling Xie
2021 J jnl
Impact of resampling methods and classification models on the imbalanced credit scoring problems.
Inf. Sci.
Jin Xiao, Yadong Wang, Jing Chen, Ling Xie, Jing Huang
2021 J jnl
Multiple graph kernel learning based on GMDH-type neural network.
Inf. Fusion
Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang
2020 J jnl
A Hybrid Classification Framework Based on Clustering.
IEEE Trans. Ind. Informatics
Jin Xiao, Yuhang Tian, Ling Xie, Xiaoyi Jiang, Jing Huang
2020 J jnl
Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems.
IEEE Trans. Neural Networks Learn. Syst.
Jin Xiao, Yanlin Jia, Xiaoyi Jiang, Shouyang Wang
2020 J jnl
GMDH-Based Outlier Detection Model in Classification Problems.
J. Syst. Sci. Complex.
Ling Xie, Yanlin Jia, Jin Xiao, Xin Gu, Jing Huang
2020 J jnl
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network.
Pattern Recognit.
Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo
2018 J jnl
A combined Weisfeiler-Lehman graph kernel for structured data.
Int. J. Wavelets Multiresolution Inf. Process.
Lixiang Xu, Yuanyan Tang, Bin Luo, Lixin Cui, Xiu Chen, Jin Xiao
2018 J jnl
A hybrid reproducing graph kernel based on information entropy.
Pattern Recognit.
Lixiang Xu, Xiaoyi Jiang, Lu Bai, Jin Xiao, Bin Luo
2018 J jnl
GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries.
Appl. Soft Comput.
Lili Mo, Ling Xie, Xiaoyi Jiang, Ge-Er Teng, Lixiang Xu, Jin Xiao
2017 J jnl
A new transferred feature selection algorithm for customer identification.
Neural Comput. Appl.
Bing Zhu, Yongge Niu, Jin Xiao, Bart Baesens
2017 J jnl
China's energy consumption forecasting by GMDH based auto-regressive model.
J. Syst. Sci. Complex.
Ling Xie, Jin Xiao, Yi Hu, Hengjun Zhao, Yi Xiao
2017 J jnl
GMDH-based semi-supervised feature selection for customer classification.
Knowl. Based Syst.
Jin Xiao, Hanwen Cao, Xiaoyi Jiang, Xin Gu, Ling Xie
2017 J jnl
The Analysis for the Cargo Volume with Hybrid Discrete Wavelet Modeling.
Int. J. Inf. Technol. Decis. Mak.
Yi Xiao, Shouyang Wang, Ming Xiao, Jin Xiao, Yi Hu
2016 J jnl
Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble.
IEEE Intell. Syst.
Jin Xiao, Xiaoyi Jiang, Changzheng He, Ge-Er Teng
2016 J jnl
Cluster ensemble framework based on the group method of data handling.
Appl. Soft Comput.
Ge-Er Teng, Changzheng He, Jin Xiao, Yue He, Bing Zhu, Xiaoyi Jiang
2016 J jnl
Linear complexity of generalized cyclotomic binary sequences of order 2d and length 2pm.
Int. J. Wavelets Multiresolution Inf. Process.
Xuewu Zuo, Xu Li, Jin Xiao, Yuanyan Tang, Rashid Abbasi, Lixiang Xu
2015 J jnl
Feature-selection-based dynamic transfer ensemble model for customer churn prediction.
Knowl. Inf. Syst.
Jin Xiao, Yi Xiao, Anqiang Huang, Dunhu Liu, Shouyang Wang
2015 J jnl
Multiple dimensioned mining of financial fluctuation through radial basis function networks.
Neural Comput. Appl.
Yi Xiao, John J. Liu, Shouyang Wang, Yi Hu, Jin Xiao
2015 J jnl
The "six-element" analysis method for the research on the characteristics of terrorist activities.
Ann. Oper. Res.
Julei Fu, Duoyong Sun, Jian Chai, Jin Xiao, Shouyang Wang
2014 J jnl
A multiscale modeling approach incorporating ARIMA and anns for financial market volatility forecasting.
J. Syst. Sci. Complex.
Yi Xiao, Jin Xiao, John J. Liu, Shouyang Wang
2014 J jnl
A transfer forecasting model for container throughput guided by discrete PSO.
J. Syst. Sci. Complex.
Jin Xiao, Yi Xiao, Julei Fu, Kin Keung Lai
2014 J jnl
Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting.
Int. J. Comput. Intell. Syst.
Yi Xiao, Jin Xiao, Fengbin Lu, Shouyang Wang
2013 — conf
A Dynamic Transfer Ensemble Model for Customer Churn Prediction.
BIFE
Jin Xiao, Yuan Wang, Shouyang Wang
2013 — conf
Complex-Valued GMDH-type Neural Network for Real-Valued Classification Problems.
BIFE
Jin Xiao, Yi Hu, Shouyang Wang
2013 J jnl
Customer credit scoring based on HMM/GMDH hybrid model.
Knowl. Inf. Syst.
Ge-Er Teng, Changzheng He, Jin Xiao, Xiaoyi Jiang
2013 J jnl
Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting.
Int. J. Comput. Intell. Syst.
Yi Xiao, Jin Xiao, Fengbin Lu, Shouyang Wang
2012 J jnl
A Hybrid Forecasting Model for Non-Stationary Time Series: An Application to Container Throughput Prediction.
Int. J. Knowl. Syst. Sci.
Yi Xiao, Jin Xiao, Shouyang Wang
2012 — conf
Crude Oil Price Forecasting: A Transfer Learning Based Analog Complexing Model.
BIFE
Jin Xiao, Changzheng He, Shouyang Wang
2012 J jnl
Dynamic classifier ensemble model for customer classification with imbalanced class distribution.
Expert Syst. Appl.
Jin Xiao, Ling Xie, Changzheng He, Xiaoyi Jiang
2011 J jnl
A Combined Forecast Method Integrating Contextual Knowledge.
Int. J. Knowl. Syst. Sci.
Anqiang Huang, Jin Xiao, Shouyang Wang
2010 J jnl
A dynamic classifier ensemble selection approach for noise data.
Inf. Sci.
Jin Xiao, Changzheng He, Xiaoyi Jiang, Dunhu Liu
2009 J jnl
Structure identification of Bayesian classifiers based on GMDH.
Knowl. Based Syst.
Jin Xiao, Changzheng He, Xiaoyi Jiang