Sheng Hu

According to our database, Sheng Hu authored at least 17 papers between 2017 and 2026.

Collaborative distances:

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

2026

Local indicator of co-location: a semantic-parametric statistical framework.

Wenkai Liu, Chen Tu, Sheng Hu, Hanfa Xing

Int. J. Geogr. Inf. Sci., June, 2026

Integrating geographic knowledge into self-supervised contrastive learning of street view imagery for representing urban space.

Sheng Hu, Zihao Chen, Hanfa Xing, Juntao Zhang, Zhonglin Yang, Wenkai Liu, Jiaju Li, Yongyang Xu, Liang Wu

Int. J. Geogr. Inf. Sci., May, 2026

2025

Unveiling the pulse of urban metro stations: a TOD-driven approach to measuring vibrancy using geographically weighted random forest.

Yongyang Xu, Wanfeng Mao, Sheng Hu

Int. J. Digit. Earth, December, 2025

Identifying urban villages: an attention-based deep learning approach that integrates remote sensing and street-level images.

Sheng Hu, Zhonglin Yang, Hanfa Xing, Zihao Chen, Wenkai Liu, Zurui Ao, Yefei Liu, Jiaju Li

Int. J. Geogr. Inf. Sci., June, 2025

Alleviating the resolution limit problem in spatial community detection: a local network structure-based method.

Wenkai Liu, Haonan Cai, Hanfa Xing, Sheng Hu, Zhangzhi Tan, Ci Song

Int. J. Geogr. Inf. Sci., March, 2025

A Spatially Constrained Infomap for Spatial Community Detection.

Haonan Cai, Wenkai Liu, Hanfa Xing, Jin Zeng, Sheng Hu, Ci Song

Trans. GIS, 2025

2023

Uncovering the association between traffic crashes and street-level built-environment features using street view images.

Sheng Hu, Hanfa Xing, Wei Luo, Liang Wu, Yongyang Xu, Weiming Huang, Wenkai Liu, Tianqi Li

Int. J. Geogr. Inf. Sci., November, 2023

Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data.

Sheng Hu, Song Gao, Wei Luo, Liang Wu, Tianqi Li, Yongyang Xu, Ziwei Zhang

Ann. GIS, October, 2023

2022

A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method.

Yongyang Xu, Bo Zhou, Shuai Jin, Xuejing Xie, Zhanlong Chen, Sheng Hu, Nan He

Comput. Environ. Urban Syst., 2022

Application of a graph convolutional network with visual and semantic features to classify urban scenes.

Yongyang Xu, Shuai Jin, Zhanlong Chen, Xuejing Xie, Sheng Hu, Zhong Xie

Int. J. Geogr. Inf. Sci., 2022

Revealing intra-urban spatial structure through an exploratory analysis by combining road network abstraction model and taxi trajectory data.

Sheng Hu, Song Gao, Wei Luo, Liang Wu, Tianqi Li, Yongyang Xu, Ziwei Zhang

CoRR, 2022

2021

Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach.

Sheng Hu, Song Gao, Liang Wu, Yongyang Xu, Ziwei Zhang, Haifu Cui, Xi Gong

Comput. Environ. Urban Syst., 2021

Research on the driving forces of urban hot spots based on exploratory analysis and binary logistic regression model.

Haifu Cui, Liang Wu, Sheng Hu, Rujuan Lu, Shanlin Wang

Trans. GIS, 2021

Measuring the Service Capacity of Public Facilities Based on a Dynamic Voronoi Diagram.

Haifu Cui, Liang Wu, Sheng Hu, Rujuan Lu

Remote. Sens., 2021

2020

A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data.

Sheng Hu, Zhanjun He, Liang Wu, Li Yin, Yongyang Xu, Haifu Cui

Comput. Environ. Urban Syst., 2020

Recognition of Urban Functions and Mixed Use Based on Residents' Movement and Topic Generation Model: The Case of Wuhan, China.

Haifu Cui, Liang Wu, Sheng Hu, Rujuan Lu, Shanlin Wang

Remote. Sens., 2020

2017

Optimizing Cruising Routes for Taxi Drivers Using a Spatio-Temporal Trajectory Model.

Liang Wu, Sheng Hu, Li Yin, Yazhou Wang, Zhanlong Chen, Mingqiang Guo, Hao Chen, Zhong Xie

ISPRS Int. J. Geo Inf., 2017