一、个人简介

马敬玲（1996.06-），讲师，女，汉族。2023年毕业于合肥工业大学管理科学与工程专业，并获管理学博士学位。2021年11月至2022年11月，新加坡国立大学联合培养博士。

研究方向：多模态数据融合；智能风控；金融序列预测。

电子邮箱：majingling1626@163.com

二、参与的项目

国家自然科学基金面上项目，工业大数据驱动基于集成深度学习的高端装备智能运维关键技术（项目号：72071062）参与。

三、代表性论文

[1] Gang Wang, Jingling Ma, Gang Chen. Attentive statement fraud detection: Distinguishing multimodal financial data with fine-grained attention[J]. Decision Support Systems, 2023, 167: 113913. ( SCI , ABS三星级期刊，中科院1区)

[2] Gang Wang, Jingling Ma, Gang Chen, Ying Yang. Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures[J]. Applied Soft Computing, 2020, 90(1): 106152. (SCI,中科院1区)

[3] Gang Wang, Jingling Ma, Ying Wang, Tao Tao, Gang Ren, Hegong Zhu. SUDF-RS: A new foreign exchange rate prediction method considering the complementarity of supervised and unsupervised deep representation features[J]. Expert Systems with Applications, 2023, 214(1): 119152.( SCI,中科院1区)

[4] Gang Wang, Tao Tao, Jingling Ma, Hui Li, Huimin Fu, Yan Chu. An improved ensemble learning method for exchange rate forecasting based on complementary effect of shallow and deep features[J]. Expert Systems with Applications, 2021, 184(1): 115569. (SCI, 中科院1区)

[5]Gang Wang,HanruWang,JunqiaoGong,Jingling Ma. Joint item recommendation and trust prediction with graph neural networks[J]. Knowledge-Based Systems, 2024, 285: 111340. (SCI, 中科院1区)

[6] Jingling Ma, Gang Chen, Gang Wang. Regularized sparse-based long short-term memory for textual disclosures in financial distress prediction[C]. China Summer Workshop on Information Management (CSWIM), 2019.

[7]王刚,陈红,马敬玲,王珏.基于多尺度1D-CNN和注意力机制的汇率多步预测研究,系统工程理论与实践, 2023, 1-17. (CSSCI)