他的研究先后获得国家自然青年基金,教育部人文社科青年基金及博士点新教师基金资助,并荣获四川省科技进步二等奖2项。相关研究成果发表论文20余篇,其中 SCI检索8篇,SSCI检索2篇,EI检索5篇,并且担任《Journal of the Operational Research Society》, 《Applied soft computing》, 《Information Science》, 《International Journal of Pattern Recognition and Artificial Intelligence》,《Pattern Analysis and Applications》等杂志审稿人。
教育背景
2014/09- 比利时荷语鲁汶大学博士后(大数据分析)
2008/09-2011/06 四川大学商学院 管理科学与工程博士
2005/09-2008/06 四川大学商学院 管理科学与工程硕士
2001/09-2005/06 四川大学商学院 管理科学学士
教授课程
本科
应用统计学; 商务统计与预测; 统计综合实验
博士
信息论与控制论
主要论文成果
Bing Zhu, Yongge Niu, Jin Xiao, Bart Baesens. A newtransferred feature selection algorithm for customer identification. NeuralComputing and Applications. DOI:10.1007/s00521-016-2214-y (SCI检索),
Bing Zhu, Changzheng He, Xiaoyi Jiang. A consistency-basedvalidation for data clustering. Intelligent Data Analysis, 19(3), pp. 471-484,2015. (SCI检索)
Bing Zhu, Changzheng He, Xiaoyi Jiang. Customer choiceprediction based on transfer learning,Journal of the Operational Research Society , 66(6), pp.1044-1051,2015. (SSCI/SCI检索)
Bing Zhu, Changzheng He, Yongge Niu. Using group method ofdata handling to model customer choice behaviour, Scientia Iranica, 21(3), 21(3), pp 1051-1060 , 2014 . (SCI检索)
Bing Zhu, Changzheng He, Panos Liatsis. A robust missingvalue imputation method for noisy data. Applied Intelligence, 36(1), pp 61-74,2012. (SCI检索)
Bing Zhu, Qingqing Deng, Xiaozhou He. A new hybrid model of feature selection forimbalanced data, Proceedings of theInternational Conference on Management Science and Engineering Management, pp 238-242, 2013. (EI检索).
Bing Zhu, Jin Xiao, Changzheng He. A balanced transfer learning model forcustomer churn prediction. Proceedingsof the International Conference on Management Science and Engineering management,pp 97-104, 2014, (EI检索).
朱兵,贺昌政, 李慧媛,基于迁移学习的客户信用评估模型研究, 运筹与管理, 24(2), pp. 201-207, 2015.