MOOC Dropout Prediction Using FWTS-CNN Model Based on Fused Feature Weighting and Time Series. - Yafeng Zheng; Zhanghao Gao; Yihang Wang 003; Qian Fu (IEEE Access, 2020)

CLSA: A novel deep learning model for MOOC dropout prediction. - Qian Fu; Zhanghao Gao; Junyi Zhou; Yafeng Zheng (Comput. Electr. Eng., 2021)

MOOC dropout prediction using a fusion deep model based on behaviour features. - Yafeng Zheng; Zheng Shao; Mingming Deng; Zhanghao Gao; Qian Fu (Comput. Electr. Eng., 2022)

Optimizing the Online Learners' Verbal Intention Classification Efficiency Based on the Multi-Head Attention Mechanism Algorithm. - Yangfeng Zheng; Zheng Shao; Zhanghao Gao; Mingming Deng; Xuesong Zhai (Int. J. Found. Comput. Sci., 2022)

Research on Constructing Online Learning Performance Prediction Model Combining Feature Selection and Neural Network. - Huichao Mi; Zhanghao Gao; Qiaorong Zhang; Yafeng Zheng (Int. J. Emerg. Technol. Learn., 2022)

Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion-A Perspective of Attention Mechanism-Based Bi-LSTM. - Yafeng Zheng; Zhanghao Gao; Jun Shen 001; Xuesong Zhai (IEEE Trans. Learn. Technol., 2023)