Demand Density Forecasting in Mobility-on-Demand Systems Through Recurrent Mixture Density Networks. - Xiaoming Li 007; Hubert Normandin-Taillon; Chun Wang; Xiao Huang 006 (ITSC, 2023)

Linear pretraining in recurrent mixture density networks. - Hubert Normandin-Taillon; Frédéric Godin; Chun Wang (CoRR, 2023)

XRMDN: A Recurrent Mixture Density Networks-based Architecture for Short-Term Probabilistic Demand Forecasting in Mobility-on-Demand Systems with High Volatility. - Xiaoming Li 007; Hubert Normandin-Taillon; Chun Wang; Xiao Huang 006 (CoRR, 2023)

XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting Considering High Volatility. - Xiaoming Li; Hubert Normandin-Taillon; Chun Wang; Xiao Huang 006 (IEEE Trans. Intell. Veh., 2025)