Ximing Chang

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cross-line crew scheduling optimization in urban rail transit systems.
Comput. Ind. Eng.
Yifan Xu, Haodong Yin, Shuang Yang, Hankun Zheng, Ximing Chang, Jianjun Wu
2025 J jnl
Optimizing integrated train rescheduling strategies for diverse disruption scenarios using reinforcement learning.
Comput. Ind. Eng.
Haodong Yin, Lina Liu, Ximing Chang, Hao Fu, Jianjun Wu
2024 J jnl
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm.
Inf. Process. Manag.
Jiarui Yu, Ximing Chang, Songhua Hu, Haodong Yin, Jianjun Wu
2024 J jnl
Graph transformer embedded deep learning for short-term passenger flow prediction in urban rail transit systems: A multi-gate mixture-of-experts model.
Inf. Sci.
Songhua Hu, Jianhua Chen, Wei Zhang, Guanhua Liu, Ximing Chang
2024 J jnl
Integrated optimization of transport capacity and train timetabling with time-dependent passenger demand.
Int. J. Gen. Syst.
Ziyan Feng, Ximing Chang, Jianjun Wu
2024 J jnl
Reinforcement learning-based order-dispatching optimization in the ride-sourcing service.
Comput. Ind. Eng.
Yinquan Wang, Huijun Sun, Ying Lv, Ximing Chang, Jianjun Wu
2024 J jnl
Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network.
Expert Syst. Appl.
Yafei Li, Huijun Sun, Ying Lv, Ximing Chang
2024 J jnl
Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool.
Inf. Sci.
Ziyan Feng, Xiang Li, Jianjun Wu, Ximing Chang
2023 J jnl
An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents.
Reliab. Eng. Syst. Saf.
Lingyuan Shi, Xin Yang, Ximing Chang, Jianjun Wu, Huijun Sun
2023 J jnl
Uncertain demand based integrated optimisation for train timetabling and coupling on the high-speed rail network.
Int. J. Prod. Res.
Ziyan Feng, Chengxuan Cao, Alireza Mostafizi, Haizhong Wang, Ximing Chang
2022 J jnl
Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach.
IEEE Intell. Transp. Syst. Mag.
Ximing Chang, Ziyan Feng, Jianjun Wu, Huijun Sun, Guang Wang, Xu Bao