Ximing Chang

According to our database, Ximing Chang authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Graph transformer embedded deep learning for short-term passenger flow prediction in urban rail transit systems: A multi-gate mixture-of-experts model.

Songhua Hu, Jianhua Chen, Wei Zhang, Guanhua Liu, Ximing Chang

Inf. Sci., 2024

Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool.

Ziyan Feng, Xiang Li, Jianjun Wu, Ximing Chang

Inf. Sci., 2024

Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm.

Jiarui Yu, Ximing Chang, Songhua Hu, Haodong Yin, Jianjun Wu

Inf. Process. Manag., 2024

Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network.

Yafei Li, Huijun Sun, Ying Lv, Ximing Chang

Expert Syst. Appl., 2024

Reinforcement learning-based order-dispatching optimization in the ride-sourcing service.

Yinquan Wang, Huijun Sun, Ying Lv, Ximing Chang, Jianjun Wu

Comput. Ind. Eng., 2024

2023

An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents.

Lingyuan Shi, Xin Yang, Ximing Chang, Jianjun Wu, Huijun Sun

Reliab. Eng. Syst. Saf., May, 2023

Uncertain demand based integrated optimisation for train timetabling and coupling on the high-speed rail network.

Ziyan Feng, Chengxuan Cao, Alireza Mostafizi, Haizhong Wang, Ximing Chang

Int. J. Prod. Res., March, 2023

2022

Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach.

Ximing Chang, Ziyan Feng, Jianjun Wu, Huijun Sun, Guang Wang, Xu Bao

IEEE Intell. Transp. Syst. Mag., 2022