Optimizing Cruising Routes for Taxi Drivers Using a Spatio-Temporal Trajectory Model. - Liang Wu 005; Sheng Hu 001; Li Yin; Yazhou Wang; Zhanlong Chen; Mingqiang Guo; Hao Chen; Zhong Xie (ISPRS Int. J. Geo Inf., 2017)

Recognition of Urban Functions and Mixed Use Based on Residents' Movement and Topic Generation Model: The Case of Wuhan, China. - Haifu Cui; Liang Wu 005; Sheng Hu 001; Rujuan Lu; Shanlin Wang (Remote. Sens., 2020)

A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data. - Sheng Hu 001; Zhanjun He; Liang Wu 005; Li Yin; Yongyang Xu; Haifu Cui (Comput. Environ. Urban Syst., 2020)

Measuring the Service Capacity of Public Facilities Based on a Dynamic Voronoi Diagram. - Haifu Cui; Liang Wu 005; Sheng Hu 001; Rujuan Lu (Remote. Sens., 2021)

Research on the driving forces of urban hot spots based on exploratory analysis and binary logistic regression model. - Haifu Cui; Liang Wu 005; Sheng Hu 001; Rujuan Lu; Shanlin Wang (Trans. GIS, 2021)

Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach. - Sheng Hu 001; Song Gao 001; Liang Wu 005; Yongyang Xu; Ziwei Zhang 007; Haifu Cui; Xi Gong (Comput. Environ. Urban Syst., 2021)

Revealing intra-urban spatial structure through an exploratory analysis by combining road network abstraction model and taxi trajectory data. - Sheng Hu 001; Song Gao 001; Wei Luo; Liang Wu 005; Tianqi Li; Yongyang Xu; Ziwei Zhang 007 (CoRR, 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 001; Zhong Xie (Int. J. Geogr. Inf. Sci., 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 001; Nan He (Comput. Environ. Urban Syst., 2022)

Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data. - Sheng Hu 001; Song Gao 001; Wei Luo; Liang Wu 005; Tianqi Li; Yongyang Xu; Ziwei Zhang 007 (Ann. GIS, 2023)

Uncovering the association between traffic crashes and street-level built-environment features using street view images. - Sheng Hu 001; Hanfa Xing; Wei Luo; Liang Wu 005; Yongyang Xu; Weiming Huang 001; Wenkai Liu; Tianqi Li (Int. J. Geogr. Inf. Sci., 2023)

Alleviating the resolution limit problem in spatial community detection: a local network structure-based method. - Wenkai Liu; Haonan Cai; Hanfa Xing; Sheng Hu 001; Zhangzhi Tan; Ci Song (Int. J. Geogr. Inf. Sci., 2025)

Identifying urban villages: an attention-based deep learning approach that integrates remote sensing and street-level images. - Sheng Hu 001; Zhonglin Yang; Hanfa Xing; Zihao Chen; Wenkai Liu; Zurui Ao; Yefei Liu; Jiaju Li (Int. J. Geogr. Inf. Sci., 2025)