冯朔，男，郑州大学计算机与人工智能学院讲师。

教育经历  

香港城市大学 计算机科学 博士   2018.10 - 2021.10

英国纽卡斯尔大学 高级计算机科学 硕士     2012.9 - 2013.11

长安大学 计算机科学与技术 本科2007.9 - 2011.9

研究方向

软件工程，人工智能，软件缺陷预测，股票预测

工作经历

郑州大学 讲师    2021.11 – 至今

发表论文

[1] Feng, S., Keung, J., Yu, X., Xiao, Y., Bennin, K.E., Kabir, M.A., Zhang, M., 2020. COSTE: Complexity-based oversampling technique to alleviate the class imbalance problem in software defect prediction. Information and Software Technology.

[2] Feng, S., Keung, J., Yu, X., Xiao, Y., 2020. Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction. Information and Software Technology.

[3] Feng, S., Keung, J., Yu, X., Xiao, Y., 2020. The impact of the distance on SMOTE-based oversampling techniques in software defect prediction. Information and Software Technology.

[4] Feng, S., Keung, J., Yu, X., Xiao, Y., 2021. Radius-based overlap cleaning technique to alleviate the class overlapping problem in software defect prediction. 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).

[5] Yang, Z., Keung, J., Kabir, M. A., Yu, X., Tang, Y., Zhang, M., and Feng, S., 2020. AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features. Applied Soft Computing.

[6] Yu, X., Keung, J., Xiao, Y., Feng, S., Li, F., & Dai, H. 2022. Predicting the precise number of software defects: Are we there yet?. Information and Software Technology.

联系方式

shuo.feng@hotmail.com