Structure identification of Bayesian classifiers based on GMDH. - Jin Xiao 003; Changzheng He; Xiaoyi Jiang 001 (Knowl. Based Syst., 2009)

A dynamic classifier ensemble selection approach for noise data. - Jin Xiao 003; Changzheng He; Xiaoyi Jiang 001; Dunhu Liu (Inf. Sci., 2010)

A Combined Forecast Method Integrating Contextual Knowledge. - Anqiang Huang; Jin Xiao 003; Shouyang Wang (Int. J. Knowl. Syst. Sci., 2011)

Crude Oil Price Forecasting: A Transfer Learning Based Analog Complexing Model. - Jin Xiao 003; Changzheng He; Shouyang Wang (BIFE, 2012)

Dynamic classifier ensemble model for customer classification with imbalanced class distribution. - Jin Xiao 003; Ling Xie; Changzheng He; Xiaoyi Jiang 001 (Expert Syst. Appl., 2012)

A Hybrid Forecasting Model for Non-Stationary Time Series: An Application to Container Throughput Prediction. - Yi Xiao 011; Jin Xiao 003; Shouyang Wang (Int. J. Knowl. Syst. Sci., 2012)

Complex-Valued GMDH-type Neural Network for Real-Valued Classification Problems. - Jin Xiao 003; Yi Hu; Shouyang Wang (BIFE, 2013)

A Dynamic Transfer Ensemble Model for Customer Churn Prediction. - Jin Xiao 003; Yuan Wang; Shouyang Wang (BIFE, 2013)

Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting. - Yi Xiao 011; Jin Xiao 003; Fengbin Lu; Shouyang Wang (Int. J. Comput. Intell. Syst., 2013)

Customer credit scoring based on HMM/GMDH hybrid model. - Ge-Er Teng; Changzheng He; Jin Xiao 003; Xiaoyi Jiang 001 (Knowl. Inf. Syst., 2013)

A transfer forecasting model for container throughput guided by discrete PSO. - Jin Xiao 003; Yi Xiao 011; Julei Fu; Kin Keung Lai (J. Syst. Sci. Complex., 2014)

A multiscale modeling approach incorporating ARIMA and anns for financial market volatility forecasting. - Yi Xiao 011; Jin Xiao 003; John J. Liu; Shouyang Wang (J. Syst. Sci. Complex., 2014)

The "six-element" analysis method for the research on the characteristics of terrorist activities. - Julei Fu; Duoyong Sun; Jian Chai; Jin Xiao 003; Shouyang Wang (Ann. Oper. Res., 2015)

Feature-selection-based dynamic transfer ensemble model for customer churn prediction. - Jin Xiao 003; Yi Xiao 011; Anqiang Huang; Dunhu Liu; Shouyang Wang (Knowl. Inf. Syst., 2015)

Multiple dimensioned mining of financial fluctuation through radial basis function networks. - Yi Xiao 011; John J. Liu; Shouyang Wang; Yi Hu; Jin Xiao 003 (Neural Comput. Appl., 2015)

Cluster ensemble framework based on the group method of data handling. - Ge-Er Teng; Changzheng He; Jin Xiao 003; Yue He; Bing Zhu 005; Xiaoyi Jiang 001 (Appl. Soft Comput., 2016)

Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble. - Jin Xiao 003; Xiaoyi Jiang 001; Changzheng He; Ge-Er Teng (IEEE Intell. Syst., 2016)

Linear complexity of generalized cyclotomic binary sequences of order 2d and length 2pm. - Xuewu Zuo; Xu Li; Jin Xiao 003; Yuanyan Tang; Rashid Abbasi; Lixiang Xu (Int. J. Wavelets Multiresolution Inf. Process., 2016)

The Analysis for the Cargo Volume with Hybrid Discrete Wavelet Modeling. - Yi Xiao 011; Shouyang Wang; Ming Xiao; Jin Xiao 003; Yi Hu (Int. J. Inf. Technol. Decis. Mak., 2017)

China's energy consumption forecasting by GMDH based auto-regressive model. - Ling Xie; Jin Xiao 003; Yi Hu; Hengjun Zhao; Yi Xiao 011 (J. Syst. Sci. Complex., 2017)

GMDH-based semi-supervised feature selection for customer classification. - Jin Xiao 003; Hanwen Cao; Xiaoyi Jiang 001; Xin Gu; Ling Xie (Knowl. Based Syst., 2017)

A new transferred feature selection algorithm for customer identification. - Bing Zhu 005; Yongge Niu; Jin Xiao 003; Bart Baesens (Neural Comput. Appl., 2017)

GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries. - Lili Mo; Ling Xie; Xiaoyi Jiang 001; Ge-Er Teng; Lixiang Xu; Jin Xiao 003 (Appl. Soft Comput., 2018)

A combined Weisfeiler-Lehman graph kernel for structured data. - Lixiang Xu; Yuanyan Tang; Bin Luo 001; Lixin Cui; Xiu Chen; Jin Xiao 003 (Int. J. Wavelets Multiresolution Inf. Process., 2018)

A hybrid reproducing graph kernel based on information entropy. - Lixiang Xu; Xiaoyi Jiang 001; Lu Bai 001; Jin Xiao 003; Bin Luo 001 (Pattern Recognit., 2018)

GMDH-Based Outlier Detection Model in Classification Problems. - Ling Xie; Yanlin Jia; Jin Xiao 003; Xin Gu; Jing Huang 017 (J. Syst. Sci. Complex., 2020)

Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. - Lixiang Xu; Xiaofeng Wang 009; Lu Bai 001; Jin Xiao 003; Qi Liu 003; Enhong Chen; Xiaoyi Jiang 001; Bin Luo 001 (Pattern Recognit., 2020)

A Hybrid Classification Framework Based on Clustering. - Jin Xiao 003; Yuhang Tian; Ling Xie; Xiaoyi Jiang 001; Jing Huang 017 (IEEE Trans. Ind. Informatics, 2020)

Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems. - Jin Xiao 003; Yanlin Jia; Xiaoyi Jiang 001; Shouyang Wang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multiple graph kernel learning based on GMDH-type neural network. - Lixiang Xu; Lu Bai 001; Jin Xiao 003; Qi Liu 003; Enhong Chen; Xiaofeng Wang 009; Yuanyan Tang (Inf. Fusion, 2021)

Impact of resampling methods and classification models on the imbalanced credit scoring problems. - Jin Xiao 003; Yadong Wang; Jing Chen; Ling Xie; Jing Huang 017 (Inf. Sci., 2021)

Deep reinforcement learning with the confusion-matrix-based dynamic reward function for customer credit scoring. - Yadong Wang; Yanlin Jia; Yuhang Tian; Jin Xiao 003 (Expert Syst. Appl., 2022)

A GAN-based hybrid sampling method for imbalanced customer classification. - Bing Zhu 005; Xin Pan; Seppe vanden Broucke; Jin Xiao 003 (Inf. Sci., 2022)

Prediction of wind turbine blade icing fault based on selective deep ensemble model. - Jin Xiao 003; Chunyan Li; Bo Liu 005; Jing Huang 017; Ling Xie (Knowl. Based Syst., 2022)

Balanced incremental deep reinforcement learning based on variational autoencoder data augmentation for customer credit scoring. - Yadong Wang; Yanlin Jia; Yu Zhong; Jing Huang 017; Jin Xiao 003 (Eng. Appl. Artif. Intell., 2023)

Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models. - Jin Xiao 003; Yuhang Tian; Yanlin Jia; Xiaoyi Jiang 001; Lean Yu; Shouyang Wang (INFORMS J. Comput., 2023)

A bagging-based selective ensemble model for churn prediction on imbalanced data. - Bing Zhu 005; Cheng Qian; Seppe vanden Broucke; Jin Xiao 003; Yuanyuan Li (Expert Syst. Appl., 2023)

Deep reinforcement learning based on balanced stratified prioritized experience replay for customer credit scoring in peer-to-peer lending. - Yadong Wang; Yanlin Jia; Sha Fan; Jin Xiao 003 (Artif. Intell. Rev., 2024)

Complex-Valued GMDH-Based Data Characteristic-Driven Adaptive Decision Support System for Customer Classification. - Yanlin Jia; Yadong Wang; Yan Yang; Jing Huang 017; Jin Xiao 003 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method. - Jin Xiao 003; Zhang Wen; Xiaoyi Jiang 001; Lean Yu; Shouyang Wang (Decis. Support Syst., 2024)