Ensemble Empirical Mode Decomposition-Based Gated Recurrent Unit Model for Short-Term Metro Passenger Flow Prediction. - Zhanru Liu; Cong Xiu; Yichen Sun; Bin Shuai (ICITE, 2022)

MD-STCN: A deep learning-based architecture considering multivariate disturbances for metro passenger flow prediction. - Cong Xiu; Shuguang Zhan; Qiyuan Peng (ITSC, 2022)

Modelling traffic as multi-graph signals: Using domain knowledge to enhance the network-level passenger flow prediction in metro systems. - Cong Xiu; Yichen Sun; Qiyuan Peng (J. Rail Transp. Plan. Manag., 2022)

Learn traffic as a signal: Using ensemble empirical mode decomposition to enhance short-term passenger flow prediction in metro systems. - Cong Xiu; Yichen Sun; Qiyuan Peng; Cheng Chen; Xunquan Yu (J. Rail Transp. Plan. Manag., 2022)

Parallel framework of a multi-graph convolutional network and gated recurrent unit for spatial-temporal metro passenger flow prediction. - Shuguang Zhan; Yi Cai; Cong Xiu; Dajie Zuo; Dian Wang 002; Sze Chun Wong (Expert Syst. Appl., 2024)