姓名:刘万安
职称:特聘副教授
研究方向:数据挖掘与商业智能
个人简介:
刘万安,男,2023年毕业于东华大学管理科学与工程专业,获得管理学博士学位。曾于2022年3月至2023年3月获得国家公派资助,赴卡迪夫大学计算机学院进行联合培养。研究兴趣主要集中在人工智能与大数据分析理论方面,具体有机器学习与深度学习理论、商业智能与决策支持。目前,在SCI/SSCI期刊上发表多篇论文,包括IJF、ESWA、EAAI等。
项目和课题:
1.国家自然科学基金项目,71971054,宏观经济波动下的动态复杂银行网络系统稳定性及宏观审慎监管研究,参与
2.上海市自然科学基金项目,19ZR1402100,宏观经济波动下的银行网络系统性风险及实证研究,参与。
论文和著作:
Liu, W., Fan, H., & Xia, M. (2023). Tree-based heterogeneous cascade ensemble model for credit scoring. International Journal of Forecasting, 39(4), 1593-1614.
2.Liu, W., Fan, H., & Xia, M. (2022). Credit scoring based on tree-enhanced gradient boosting decision trees. Expert Systems with Applications, 189, 116034.
3.Liu, W., Fan, H., Xia, M., & Pang, C. (2022). Predicting and interpreting financial distress using a weighted boosted tree-based tree. Engineering Applications of Artificial Intelligence, 116, 105466.
4.Liu, W., Fan, H., Xia, M., & Xia, M. (2022). A focal-aware cost-sensitive boosted tree for imbalanced credit scoring. Expert Systems with Applications, 208, 118158.
5.Liu, W., Fan, H., & Xia, M. (2021). Step-wise multi-grained augmented gradient boosting decision trees for credit scoring. Engineering Applications of Artificial Intelligence, 97, 104036.
6.Liu, W. A., Fan, H., & Xia, M. (2021). Multi-grained and multi-layered gradient boosting decision tree for credit scoring. Applied Intelligence, 1-17.