Ximing Chang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Load Forecasting

Clustering Algorithm

Nearest Neighbor

Top Venues

Inf. Process. Manag.

Int. J. Prod. Res.

Comput. Ind. Eng.

Publications

Yafei Li, Huijun Sun, Ying Lv, Ximing Chang
Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network. Expert Syst. Appl. 247 (2024)
Yinquan Wang, Huijun Sun, Ying Lv, Ximing Chang, Jianjun Wu
Reinforcement learning-based order-dispatching optimization in the ride-sourcing service. Comput. Ind. Eng. 192 (2024)
Jiarui Yu, Ximing Chang, Songhua Hu, Haodong Yin, Jianjun Wu
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm. Inf. Process. Manag. 61 (4) (2024)
Ziyan Feng, Xiang Li, Jianjun Wu, Ximing Chang
Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool. Inf. Sci. 680 (2024)
Songhua Hu, Jianhua Chen, Wei Zhang, Guanhua Liu, Ximing Chang
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. 679 (2024)
Lingyuan Shi, Xin Yang, Ximing Chang, Jianjun Wu, Huijun Sun
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. 233 (2023)
Ziyan Feng, Chengxuan Cao, Alireza Mostafizi, Haizhong Wang, Ximing Chang
Uncertain demand based integrated optimisation for train timetabling and coupling on the high-speed rail network. Int. J. Prod. Res. 61 (5) (2023)
Ximing Chang, Ziyan Feng, Jianjun Wu, Huijun Sun, Guang Wang, Xu Bao
Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach. IEEE Intell. Transp. Syst. Mag. 14 (4) (2022)