发表论文[1] Jiaming Liu, Chong Wu*. Dynamic forecasting of financial distress: the hybrid use of incremental bagging and genetic algorithm—empirical study of Chinese listed corporations [J]. Risk Management, 19(1): 32-52, 2017. (SSCI检索)
[2] Jiaming Liu, Chong Wu*. A gradient boosting decision tree approach for firm failure prediction: An empirical model evaluation study of Chinese listed companies [J]. The Journal of Risk Model Validation, 11(2): 43-64, 2017. (SSCI检索)
[3] Jiaming Liu, Chong Wu*, Tianyi Su. The reference effect in newsvendor model with strategic customers [J]. Management Decision, 55(5): 1006-1021, 2017. (SSCI检索)
[4] Jiaming Liu, Chong Wu*, Yongli Li*. Improving financial distress prediction using financial network-based information and GA-based gradient boosting method [J]. Computational Economics. 53(2): 851-872, 2019. (SCI/SSCI双检索)
[5] Jiaming Liu, Chong Wu*. Hybridizing kernel-based fuzzy c-means with hierarchical selective ensemble model for business failure prediction [J]. Journal of Forecasting. 38(2): 92-105, 2019. (SSCI检索)
[6] Jiaming Liu, Liuan Wang*, Linan Zhang, Zeming Zhang, Sicheng Zhang. Predictive an alytics for blood glucose concentration: An empirical study using tree-based ensemble approach [J]. Library Hi Tech. Accepted, 2020. (SSCI检索)
[7] Jiaming Liu, Lina Ding, Xiaoyu Guan*, Jiao Gui, Jianbin Xu. Comparative an alysis of forecasting for air cargo volume: Statistical techniques vs. machine learning [J]. Journal of Data, Information and Management. Accepted and published online, 2020.
[8] 吴冲, 刘佳明*, 郭志达. 基于改进粒子群算法的模糊聚类-概率神经网络模型的企业财务危机预警模型研究 [J]. 运筹与管理. 27(2): 106-114+132, 2018. （国家自然科学基金委管理学A类刊物）
[9] Chuan Zhang, Zhe Liu*, Jiaming Liu. Least absolute deviations for uncertain multivariate regression model [J]. International Journal of General Systems. Accepted and published online, 2020. (SCI检索)
[10] Yongli Li, Sihan Li, Chuang Wei*, Jiaming Liu. How students’ friendship network affects their GPA ranking [J]. Information Technology & People, 33(2): 535-553, 2019. (SSCI检索)
[10] Wu, Chong, Jiaming Liu*. A combination use of bagging and random subspace with memory mechanism for dynamic financial distress prediction [C]. 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. (EI检索) |
