Journal Publication:
Liang J., Feng S., Ke J., and Yang H. (2025). Machine learning for on-demand ride services: A survey. Artificial Intelligence for Transportation, 2, 100008.
Liang J., Zhao Y., Wang H., Yang L., and Ke J. (2025). Understanding order cancellation behavior in on-demand delivery services. Transportation Research Part A: Policy and Practice, 198, 104515.
Liang J. and Ke J. (2025). A Markov decision process framework for order dispatching in on-demand delivery services. Multimodal Transportation, 100240.
Liang J., Zhao Y., Wang H., Xiao Z., and Ke J. (2024). Uncovering users’ willingness to wait in on-demand food delivery markets. Transport Policy, 158, 14-28.
Gao F., Han C., Yang L., Liang J.*, He X., and Li F. (2024). Analyzing spatiotemporal distribution patterns of metro ridership: comparison between common-class and business-class carriage service. Journal of Transport Geography, 115, 103798.
Liang, J., Ke, J., Wang, H., Ye, H., and Tang, J. (2023). A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges. IEEE Transactions on Intelligent Transportation Systems, 24(12), 14556-14569.
Liang, J., Tang, J., Gao, F., Wang, Z., and Huang, H. (2023). On region-level travel demand forecasting using multi-task adaptive graph attention network. Information Sciences, 622, 161-177.
Liang, J., Tang, J., Liu, F., and Wang, Y. (2021). Combining individual travel preferences into destination prediction: A multi-module deep learning network. IEEE Transactions on Intelligent Transportation Systems, 23(8), 13782-13793.
Tang, J., Liang, J., Liu, F., Hao, J., and Wang, Y. (2021). Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network. Transportation Research Part C: Emerging Technologies, 124, 102951.
Tang, J., Liang, J., Yu, T., Xiong, Y., and Zeng, G. (2021). Trip destination prediction based on a deep integration network by fusing multiple features from taxi trajectories. IET Intelligent Transport Systems, 15(9), 1131-1141.
Tang, J., Liang, J., Han, C., Li, Z., and Huang, H. (2019). Crash injury severity analysis using a two-layer Stacking framework. Accident Analysis & Prevention, 122, 226-238.
Tang, J., Liang, J., Zhang, S., Huang, H., and Liu, F. (2018). Inferring driving trajectories based on probabilistic model from large scale taxi GPS data. Physica A: Statistical Mechanics and its Applications, 506, 566-577.