张晓明

张晓明, 博士, 讲师, 硕士生导师。2022年6月毕业于哈尔滨工程大学, 导师: 余乐安教授（国家杰青）。研究方向为信用风险评估, 经济能源预测, 数据挖掘。主持国家自然科学基金、省级基金项目2项，参与国家自然科学基金重点项目、国防科技173计划领域基金等项目多项。在Computers & Operations Research、Expert Systems with Applications、Finance Research Letters、International Review of Financial Analysis等国内外学术期刊上发表学术论文10余篇。

 

学术成果：

[1] Xiaoming Zhang, Lean Yu. Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods, Expert Systems with Applications, 2024, 237: 121484.

[2]  Xiaoming Zhang, Lean Yu, Hang Yin, Kin Keung Lai. Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality, Computers & Operations Research, 2022, 146: 105937.

[3] Lean Yu, Xiaoming Zhang, Hang Yin. An extreme learning machine based virtual sample generation method with feature engineering for credit risk assessment with data scarcity, Expert Systems with Applications, 2022, 202: 117363.

[4] Lean Yu, Xiaoming Zhang. Can small sample dataset be used for efficient internet loan credit risk assessment? Evidence from online peer to peer lending, Finance Research Letters, 2021, 38: 101521.

[5] Lean Yu, Xiao Yao, Xiaoming Zhang, Hang Yin, Jia Liu. A novel dual-weighted fuzzy proximal support vector machine with application to credit risk analysis, International Review of Financial Analysis, 2020, 71: 101577.

科研项目：

[1] 国家自然科学基金地区项目《源域数据视角下小样本特征驱动的金融信用风险评估研究》(#72361014), (2024.01-2027.12), 主持；

[2] 国家自然科学基金重点项目《重要战略资源需求与价格的预测理论与方法》(#72331007) (2024.01-2028.12), 参与；

[3] 江西省教育厅科学技术研究项目一般项目《标签视角下小样本数据特征驱动的信用风险分类研究》(#GJJ2200526), (2023.01-2024.12), 主持。

招生信息：

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