Wenhao Yu
Orcid: 0000-0003-1521-2674Affiliations:
- China University of Geosciences, State Key Laboratory of Resources and Environmental Information System, Wuhan, China
- Wuhan University, Department of Geoinformatics, China (PhD 2015)
According to our database1,
Wenhao Yu
authored at least 36 papers
between 2015 and 2024.
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Bibliography
2024
Multimodal learning with only image data: A deep unsupervised model for street view image retrieval by fusing visual and scene text features of images.
Trans. GIS, May, 2024
Pattern Recognit., 2024
BB-GeoGPT: A framework for learning a large language model for geographic information science.
Inf. Process. Manag., 2024
A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene.
CoRR, 2024
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Graph based embedding learning of trajectory data for transportation mode recognition by fusing sequence and dependency relations.
Int. J. Geogr. Inf. Sci., December, 2023
MmgFra: A multiscale multigraph learning framework for traffic prediction in smart cities.
Earth Sci. Informatics, September, 2023
Ensembled masked graph autoencoders for link anomaly detection in a road network considering spatiotemporal features.
Inf. Sci., April, 2023
CoRR, 2023
2022
Accessibility analysis of urban fire stations within communities: a fine-scale perspective.
J. Geogr. Syst., October, 2022
Data-driven polyline simplification using a stacked autoencoder-based deep neural network.
Trans. GIS, 2022
Comparison of DEM Super-Resolution Methods Based on Interpolation and Neural Networks.
Sensors, 2022
Int. J. Geogr. Inf. Sci., 2022
Int. J. Geogr. Inf. Sci., 2022
A deep encoder-decoder network for anomaly detection in driving trajectory behavior under spatio-temporal context.
Int. J. Appl. Earth Obs. Geoinformation, 2022
A hierarchical learning model for inferring the labels of points of interest with unbalanced data distribution.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
An integrated method for DEM simplification with terrain structural features and smooth morphology preserved.
Int. J. Geogr. Inf. Sci., 2021
Earth Sci. Informatics, 2021
Earth Sci. Informatics, 2021
2020
Int. J. Geogr. Inf. Sci., 2020
Earth Sci. Informatics, 2020
2019
Discovering Frequent Movement Paths From Taxi Trajectory Data Using Spatially Embedded Networks and Association Rules.
IEEE Trans. Intell. Transp. Syst., 2019
ISPRS Int. J. Geo Inf., 2019
A mathematical morphology based method for hierarchical clustering analysis of spatial points on street networks.
Appl. Soft Comput., 2019
Automated Generalization of Facility Points-of-Interest With Service Area Delimitation.
IEEE Access, 2019
2018
Trans. GIS, 2018
A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references.
Int. J. Geogr. Inf. Sci., 2018
Potential Change of Spatial Accessibility to Health Services With the Opening of Private Streets in Shenzhen, China.
IEEE Access, 2018
2017
Identifying and Analyzing the Prevalent Regions of a Co-Location Pattern Using Polygons Clustering Approach.
ISPRS Int. J. Geo Inf., 2017
The analysis and measurement of building patterns using texton co-occurrence matrices.
Int. J. Geogr. Inf. Sci., 2017
Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects.
Int. J. Geogr. Inf. Sci., 2017
Int. J. Geogr. Inf. Sci., 2017
2016
Expert Syst. Appl., 2016
2015
Generation of constrained network Voronoi diagram using linear tessellation and expansion method.
Comput. Environ. Urban Syst., 2015