Publication

Journals Articles


* Bing Zhu, Bart Baesens, Aimée Backiel, Seppe vanden Broucke. Benchmarking sampling techniques for imbalance learning in churn prediction, Journal of the Operational Research Society, 69(1):  49-65, 2018.

* Bing Zhu, Yongge Niu, Jin Xiao, Bart Baesens. A new transferred feature selection algorithm for customer identification. Neural Computing and Applications, 28:  2593-2603, 2017.

*Bing Zhu, Bart Baesens, Seppe vanden Broucke. An empirical comparison of techniques for class imbalance problem in churn prediction. Information Sciences, 408: 84–99, 2017.

* Changzheng He, Bing Zhu, Mingzhu Zhang, Xiaoli  He, The key factors of outstanding credit balances among revolvers: A case study of a bank in China, Procedia Computer Science, 91:341~350, 2016.

*Geer Teng, Changzheng He, Jin Xiao, Yue He, Bing Zhu, Xiaoyi Jiang. Cluster ensemble framework based on the group method of data handling. Applied Soft Computing, 43:35~46, 2016.

* Bing Zhu, Changzheng He, Xiaoyi Jiang. A consistency-based validation for data clustering. Intelligent Data Analysis, 19(3): 471-484, 2015.

* Bing Zhu, Changzheng He, Xiaoyi Jiang. Customer choice prediction based on transfer learning, Journal of the Operational Research Society, 66(6): 1044-1051, 2015.

* Bing Zhu, Changzheng He, Huiyuan Li.  基于迁移学习的客户信用评估模型研究 (Research on credit scoring model based on transfer learning ).  运筹与管理(Operations Research and Management Science), 24(2): 201-207, 2015.

* Changzheng He, Bing Zhu, Mingzhu Zhang, Yuanyuan Zhuang, Xiaoli He, Dongyue Du. Customers’ risk type prediction based on analog complexing. Procedia Computer Science, 55: 939 – 943, 2015.

* Xin Wei, Changzheng He, Bing Zhu. 手机银行客户价值定义及其影响因素分析 (Research on the definition of customer value and its influencing factors). 软科学 (Soft Science) , 20, 93-96, 2015.

* Bing Zhu, Changzheng He, Yongge Niu. Using group method of data handling to model customer choice behaviour. Scientia Iranica, 21(3): 1051-1060, 2014 .

​* Jin Xiao, Bing Zhu, Geer Teng, Changzheng He, Dunhu Liu. One-step dynamic classifier ensemble model for customer value segmentation with missing values. Mathematical Problems in Engineering, 1:1-15, 2014.

* Xuwei Liu, Changzheng He, Bing Zhu.  基于序关系重构的恒定再平衡投资组合 (Rank-reconstruction based constant rebalanced portfolios). 中国管理科学 (Chinese Journal of Management Science), 22(3): 13-19, 2014.

* Changzheng He, Li Kong, Bing Zhu, Jin Xiao,信用卡取现影响因素研究(Research on the factors that influence cash withdrawal for credit card. 管理评论 (Management Review) , 10:30-45, 2014.

* Mingzhu Zhang, Changzheng He, Xin Gu, Panos Liatsis, Bing Zhu. D-GMDH: A novel inductive modelling approach in the forecasting of the industrial economy. Economic Modelling, 30:514-520, 2013.

* Bing Zhu, Changzheng He, Panos Liatsis, Xiaoyu Li. A GMDH-based fuzzy modeling approach for constructing TS model. Fuzzy Sets and Systems, 189 (1) :19-29, 2012.

* Bing Zhu, Changzheng He, Panos Liatsis. A robust missing value imputation method for noisy data. Applied Intelligence, 36(1): 61-74, 2012.

 

 Conference paper 


* Bing Zhu, Wenchuan Yang, Huaxuan Wang, Yuan Yuan , A hybrid deep learning model for consumer credit scoring,Proceeding of 2018 International Conference on Artificial Intelligence and Big Data   pp. 205-208, 2018.

* Bing Zhu, Yin Pan, Zihan Gao, Application of active learning for churn prediction with class imbalance, Proceeding of 2018 International Conference on Machine Learning Technologies,  pp. 89-93, 2018.

* Bing Zhu, Guicai Xie, Yuan Yuan,Yiqin Duan, Investigating decision tree in churn prediction with class imbalance, Proceeding of 2018 International Conference on Data Processing and Applications,  pp. 11-15, 2018.

* Bing Zhu, Seppe vanden Broucke, Bart Baesens, Sebastian Maldonado, Proceedings of the International Conference on Management Science and Engineering management, LIDTA (Learning With Imbalanced Domains: Theory and Applications) Workshop of ECML/PKDD, 2017.

* Bing Zhu, Jin Xiao, Changzheng He.  A balanced transfer learning model for customer churn prediction.  Proceedings of the International Conference on Management Science and Engineering management,  pp. 97-104, 2014 .

* Bing Zhu, Qingqing Deng, Xiaozhou He.  A new hybrid model of feature selection for imbalanced data,  Proceedings of the International Conference on Management Science and Engineering Management,  pp. 238-242, 2013.

* Tran Quang Duc, Liatsis Panos, Bing Zhu, Changzheng He. An approach for multimodal biometric fusion under the missing data scenario. Proceedings of the International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE 2011) , pp. 185-188, 2011.

* Tran Quang Duc, Panos Liatsis , Bing Zhu, Changzheng He. Using density based score fusion for multimodal identification systems under the missing data scenario. Proceeding of Developments in E-systems Engineering (DeSE), pp. 238-242, 2011.

* Changzheng He, Bing Zhu. A new imputation method based on GMDH. Proceedings of IWIM2009, pp. 14-19, Krynica, Poland, 2009.

* Changzheng He, Bing Zhu . TS-based GMDH model and its application. International Conference on Inductive Modelling(ICIM2008), pp. 31-33, Kiev, Ukraine, 2008.