一、个人简介
马敬玲，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@zufe.edu.cn
二、主持和参与的项目
[1]主持教育部人文社会科学研究一般项目,严监管背景下基于多模态深度学习的可解释上市公司财务舞弊预警研究（24YJCZH206），2024-09至2027-06。
[2]主持浙江省自然科学基金青年基金项目,“双碳”目标下融合多源异构数据的可解释上市公司ESG“漂绿”识别研究（LQN25G010002）, 2025-01至2026-12。
[3]参与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（72071062），2021-01至2024-12。
三、代表性论文
[1]Jingling Ma, Junqiao Gong, Gang Wang, Xuan Zhang. A Multi-level Sparse Attentive Fusion Network Integrating Hard and Soft Information for Firm-level Loan Default Prediction. Electronic Commerce Research and Applications, 2025, 70: 101479.(SCI ,Q1)
[2] 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 , Q1)
[3] 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 ,Q1)
[4] 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 , Q1)
[5] 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 , Q1)
[6]Gang Wang,HanruWang,JunqiaoGong,Jingling Ma. Joint item recommendation and trust prediction with graph neural networks[J]. Knowledge-Based Systems, 2024, 285: 111340.(SCI , Q1)
[7]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.
[8]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)
