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Hengcai Zhang
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2020 – today
- 2024
- [j16]Peixiao Wang
, Tong Zhang
Adding attention to the neural ordinary differential equation for spatio-temporal prediction. Int. J. Geogr. Inf. Sci. 38(1): 156-181 (2024) - [j15]Chen Chu, Hengcai Zhang
Simulating human mobility with a trajectory generation framework based on diffusion model. Int. J. Geogr. Inf. Sci. 38(5): 847-878 (2024) - [j14]Lin Cong, Hengcai Zhang
Impact of the Russia-Ukraine Conflict on Global Marine Network Based on Massive Vessel Trajectories. Remote. Sens. 16(8): 1329 (2024) - [c11]Peixiao Wang, Hengcai Zhang, Feng Lu:
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model. SpatialDI 2024: 242-251 - 2023
- [j13]Haoran Zhang
Mapping Multi-Depth Soil Salinity Using Remote Sensing-Enabled Machine Learning in the Yellow River Delta, China. Remote. Sens. 15(24): 5640 (2023) - [j12]Chen Chu, Hengcai Zhang
DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network. Trans. GIS 27(6): 1699-1723 (2023) - [c10]Chen Chu
TrajGDM: A New Trajectory Foundation Model for Simulating Human Mobility. SIGSPATIAL/GIS 2023: 1:1-1:2 - 2021
- [j11]Mingxiao Li
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks. Int. J. Geogr. Inf. Sci. 35(12): 2489-2516 (2021) - [j10]Xin Fu, Hengcai Zhang
Automatic Construction of Indoor 3D Navigation Graph from Crowdsourcing Trajectories. ISPRS Int. J. Geo Inf. 10(3): 146 (2021) - 2020
- [j9]Naixia Mou
Association Rule Mining Method Based on the Similarity Metric of Tuple-Relation in Indoor Environment. IEEE Access 8: 52041-52051 (2020) - [c9]Peixiao Wang
Predicting Indoor Location based on a Hybrid Markov-LSTM Model. W2GIS 2020: 33-38
2010 – 2019
- 2019
- [j8]Peixiao Wang
A Hybrid Markov and LSTM Model for Indoor Location Prediction. IEEE Access 7: 185928-185940 (2019) - [j7]Peixiao Wang
Indoor Location Prediction Method for Shopping Malls Based on Location Sequence Similarity. ISPRS Int. J. Geo Inf. 8(11): 517 (2019) - [j6]Mingxiao Li
Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. Comput. Environ. Urban Syst. 77 (2019) - [c8]Siyu Chen, Jianqiu Xu, Hengcai Zhang
Computing and Visualizing the Shortest Path between Moving Objects on Road Networks. MDM 2019: 353-354 - [c7]Mingxiao Li
Fine-Grained Dynamic Population Mapping Method Based on Large-Scale Sparse Mobile Phone Data. MDM 2019: 473-478 - 2018
- [j5]Jie Chen, Tao Pei, Shih-Lung Shaw, Feng Lu, Mingxiao Li
Fine-grained prediction of urban population using mobile phone location data. Int. J. Geogr. Inf. Sci. 32(9): 1770-1786 (2018) - [c6]Xin Fu, Dong Wang, Sijie Niu, Hengcai Zhang
A Semantic Context Model for Automatic Image Annotation. ICIC (2) 2018: 536-542 - [c5]Xin Fu, Dong Wang, Hengcai Zhang
Identifying Transportation Modes Using Gradient Boosting Decision Tree. ICIC (2) 2018: 543-549 - 2017
- [j4]Hengcai Zhang
GSMNet: A Hierarchical Graph Model for Moving Objects in Networks. ISPRS Int. J. Geo Inf. 6(3): 71 (2017) - 2016
- [j3]Hengcai Zhang
Modeling and Querying Moving Objects with Social Relationships. ISPRS Int. J. Geo Inf. 5(7): 121 (2016) - [j2]Hengcai Zhang
A Line Graph-Based Continuous Range Query Method for Moving Objects in Networks. ISPRS Int. J. Geo Inf. 5(12): 246 (2016) - [c4]Hengcai Zhang
A Geo-Social Data Model for Moving Objects. DMBD 2016: 115-122 - 2015
- [j1]Tao Pei, Weiyi Wang, Hengcai Zhang
Density-based clustering for data containing two types of points. Int. J. Geogr. Inf. Sci. 29(2): 175-193 (2015) - 2013
- [c3]Peiyuan Qiu, Feng Lu, Hengcai Zhang:
Extracting traffic information from web texts with a D-S evidence theory based approach. Geoinformatics 2013: 1-5 - 2012
- [c2]Liang Zhou, Feng Lu, Hengcai Zhang
Evaluating road selectivity of urban-trip based on dynamic betweenness centrality. Geoinformatics 2012: 1-5 - [c1]Xiliang Liu, Feng Lu, Hengcai Zhang
Estimating Beijing's travel delays at intersections with floating car data. CTS@SIGSPATIAL 2012: 14-19
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