A CNN-Bi_LSTM parallel network approach for train travel time prediction. - Jingwei Guo 002; Wei Wang; Yinying Tang; Yongxiang Zhang 001; Hengying Zhuge (Knowl. Based Syst., 2022)

An improved density-based approach to risk assessment on railway investment. - Jingwei Guo 002; Ji Zhang; Yongxiang Zhang 001; Peijuan Xu; Lutian Li; Zhongqi Xie; Qinglin Li (Data Technol. Appl., 2022)

An instance-based transfer learning model with attention mechanism for freight train travel time prediction in the China-Europe railway express. - Jingwei Guo 002; Wei Wang; Jiayi Guo; Andrea D'Ariano; Tommaso Bosi; Yongxiang Zhang 001 (Expert Syst. Appl., 2024)

Integrating train service route design with passenger flow allocation for an urban rail transit line. - Tao Feng; Richard Martin Lusby; Yongxiang Zhang 001; Qiyuan Peng (Eur. J. Oper. Res., 2024)

Forecasting train travel times of China-Europe Railway Express through a hybrid deep learning model optimized with a bandit-based approach. - Yongxiang Zhang 001; Liting Gu; Jingwei Guo 002; Xu Yan; Xin Hu; Zhen-Song Chen 002 (Eng. Appl. Artif. Intell., 2025)