冯易，四川大学管理学博士，福州大学经济与管理学院副研究员（校聘），从事商务数智分析、电商平台运营管理、数据科学领域科研工作。以第一作者/通讯作者身份在国内外知名期刊Decision Support Systems、Technological Forecasting and Social Change、Journal of Business Research、Annals of Operations research、中国管理科学等发表论文15篇。曾参与国家自然科学基金项目（面上、重大）、社会自然科学基金重大项目、中国疾病预防控制中心项目等。并担任Human Resource Management Journal、Journal of Business Research、Decision Support Systems、Annals of Operations research、Computer and Industrial Engineering、中国管理科学等国内外知名期刊审稿专家。

招生方向：管理科学与工程、物流与供应链管理。欢迎对商务数智分析、信息系统管理、数据科学等研究方向感兴趣的同学与我联系。尊重学生个体特质与发展诉求，提供个性化培养与资源支持。感兴趣的同学请将个人简历发送至：fyfef11@163.com。

商务数智分析、电商平台运营管理、数据科学（医疗、应急、商业及物流领域）

本科生课程：数据科学导论

2021.09-2025.06    四川大学        商学院        管理科学与工程专业    管理学博士

2018.09-2021.06    四川大学        商学院        系统科学专业          理学硕士

2012.09-2016.06    云南农业大学    建工学院      工程造价专业          工学学士

联合培养经历：

2022.07-2023.07    香港理工大学    商学院        物流与航运系          博士联合培养

2025.08-至今      福州大学经济与管理学院        物流与供应链管理系     

[1] Feng Y^†, Wang X^†, Wang D, Yin Y, 2025. An interpretable two-stage adaptive deep learning model for humanitarian aid information prediction and emergency response support, Technological Forecasting and Social Change, 219: 124293.

[2] Wang D, Zhu Y, Feng Y*, T.C.E. Cheng, 2025. Power of visuals: The impact of user-generated image richness on the helpfulness of online reviews, Electronic Commerce Research and Applications, 73: 101535.

[3]Wang D, Xia Q, Feng Y^*, Cheng T.C.E, 2025. Unravelling the effects of two inconsistencies on online review helpfulness: Evidence from TripAdvisor, Decision Support System, 193: 114450.

[4] Feng Y, Yin Y, Wang D, Ignatius J, Cheng T.C.E, Hu W, Marra M, 2024. Enhancing E-Commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach, Journal of Business Research, 184: 114872.

[5] Wang D, Xu Q, Feng Y^*, Ignatius J, Yin Y, Xiao D, 2024. Uplift modeling and its implications for appointment date prediction in attended home delivery, Decision Support Systems, 185: 114303.

[6] Feng Y, Abedin B, Wang D, Yin Y, Cheng T.C.E, Coussement K, 2024. An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making, Annals of Operations Research.

[7] 冯易, 王杜娟, 胡知能, 崔少泽, 2023. 基于改进LightGBM集成模型的胃癌存活性预测方法, 中国管理科学, 31(10):234-245.

[8] Feng Y, Yin Y, Wang D, Dhamotharan L, 2022. A dynamic ensemble selection method for bank telemarketing sales prediction, Journal of Business Research, 139(4): 368-382.

[9] Feng Y, Wang X, Zhang J, 2022. A heterogeneous ensemble learning method for neuroblastoma survival prediction, IEEE Journal of Biomedical and Health Informatics, 26(4): 1472-1483.

[10] Yan F, Feng Y^*, 2022. A two-stage stacked-based heterogeneous ensemble learning for cancer survival prediction, Complex & Intelligent Systems, 8(6): 4619-4639.

[11] Feng Y, Yin Y, Wang D, Dhamotharan L, Ignatius J, Kumar A, 2022. Diabetic patient review helpfulness Unpacking online drug treatment reviews by text analytics and design science approach, Annals of Operations Research, 328(1): 387-418.

[12] Feng Y, Wang D, Yin Y, Li Z, Hu Z, 2020. An XGBoost-based casualty prediction method for terrorist attacks, Complex & Intelligent Systems, 6: 721-740.

[13] Feng Y, Liu T, Hu Z, Wang D, Cheng T.C.E, Yin Y, 2021. Casualty transport scheduling considering survival probability and injury classification, Computer & Industrial Engineering, 161: 107655.

[14] Feng Y, Cui S, 2021. A review of emergency response: Present and future perspectives, Natural Hazards, 105: 1109-1138.

[15] Wang X^†, Feng Y^†, Zhang Q, Ye L, et al., 2022. Parental preferences for Hib vaccination in China: A discrete choice experiment, Frontiers in Public Health, 2022, 10: 967693.

[16] Wang X, Feng Y, Wang S, Wang D, & Cheng, T. C. E., 2025. An explainable lesion detection transformer model for medical imaging diagnosis decision support: Design science research. Decision Support Systems, 196, 114492.

注：*为通讯作者；†为共同第一作者