A Novel Hybrid Model for Short-Term High-Speed Railway Passenger Demand Forecasting. - Shuo Zhao; Xiwei Mi (IEEE Access, 2019)

A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network. - Xiwei Mi; Chengqing Yu; Xinwei Liu; Guangxi Yan; Fuhao Yu; Pan Shang (Digit. Signal Process., 2022)

A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network. - Pan Shang; Xinwei Liu; Chengqing Yu; Guangxi Yan; Qingqing Xiang; Xiwei Mi (Digit. Signal Process., 2022)

Improving Synchronization in High-Speed Railway and Air Intermodality: Integrated Train Timetable Rescheduling and Passenger Flow Forecasting. - Yuyan Tan; Yibo Li; Ruxin Wang; Xiwei Mi; Ya-Xuan Li; Hao Zheng; Yu Ke; Yan Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China. - Chengqing Yu; Guangxi Yan; Chengming Yu; Xiwei Mi (Appl. Soft Comput., 2023)

WGformer: A Weibull-Gaussian Informer based model for wind speed prediction. - Ziyi Shi; Jia Li; Zheyuan Jiang; Huang Li; Chengqing Yu; Xiwei Mi (Eng. Appl. Artif. Intell., 2024)

MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction. - Chengqing Yu; Guangxi Yan; Chengming Yu; Xinwei Liu; Xiwei Mi (Inf. Sci., 2024)