Yao Yao
Orcid: 0000-0002-2830-0377Affiliations:
- Sun Yat-sen University, School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou, China
According to our database1,
Yao Yao
authored at least 51 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Predicting the locations of missing persons in China by using NGO data and deep learning techniques.
Int. J. Digit. Earth, December, 2024
Int. J. Geogr. Inf. Sci., November, 2024
Estimating China's poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques.
Geo spatial Inf. Sci., July, 2024
Predicting short-term PM <sub>2.5</sub> concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network.
Int. J. Geogr. Inf. Sci., April, 2024
Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China.
Int. J. Geogr. Inf. Sci., February, 2024
Applicability and sensitivity analysis of vector cellular automata model for land cover change.
Comput. Environ. Urban Syst., 2024
A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023
Int. J. Geogr. Inf. Sci., November, 2023
Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism.
Comput. Environ. Urban Syst., September, 2023
A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data.
Trans. GIS, September, 2023
Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithm.
Int. J. Geogr. Inf. Sci., 2023
2022
cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units.
IEEE Trans. Geosci. Remote. Sens., 2022
Int. J. Geogr. Inf. Sci., 2022
VecLI: A framework for calculating vector landscape indices considering landscape fragmentation.
Environ. Model. Softw., 2022
RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference.
CoRR, 2022
Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Spatiotemporal distribution of human trafficking in China and predicting the locations of missing persons.
Comput. Environ. Urban Syst., 2021
Variability in and mixtures among residential vacancies at granular levels: Evidence from municipal water consumption data.
Comput. Environ. Urban Syst., 2021
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China.
Comput. Environ. Urban Syst., 2021
Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data.
IEEE Trans. Geosci. Remote. Sens., 2021
Extracting the Tailings Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning-Based Model.
Remote. Sens., 2021
The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types.
Int. J. Geogr. Inf. Sci., 2021
Int. J. Geogr. Inf. Sci., 2021
A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition.
Comput. Geosci., 2021
UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level.
CoRR, 2021
Extracting Building Contour and Level by Coupling U-net and Single-View High-Resolution Remote Sensing Images.
Proceedings of the Spatial Data and Intelligence - Second International Conference, 2021
2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata.
Int. J. Geogr. Inf. Sci., 2020
Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China.
CoRR, 2020
Delineating Mixed Urban "Jobs-Housing" Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery.
Complex., 2020
2019
Functional urban land use recognition integrating multi-source geospatial data and cross-correlations.
Comput. Environ. Urban Syst., 2019
Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique.
Comput. Environ. Urban Syst., 2019
Fine-scale intra- and inter-city commercial store site recommendations using knowledge transfer.
Trans. GIS, 2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China.
Int. J. Geogr. Inf. Sci., 2019
Hierarchical community detection and functional area identification with OSM roads and complex graph theory.
Int. J. Geogr. Inf. Sci., 2019
A human-machine adversarial scoring framework for urban perception assessment using street-view images.
Int. J. Geogr. Inf. Sci., 2019
Analyzing the Effects of Rainfall on the Urban Traffic Congestion Bottlenecks by Using Floating Car Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Estimating the effects of "community opening" policy on alleviating traffic congestion in large Chinese cities by integrating ant colony optimization and complex network analyses.
Comput. Environ. Urban Syst., 2018
Mapping fine-scale urban housing prices by fusing remotely sensed imagery and social media data.
Trans. GIS, 2018
Temporal and Spatial Analyses of the Landscape Pattern of Wuhan City Based on Remote Sensing Images.
ISPRS Int. J. Geo Inf., 2018
Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques.
Int. J. Geogr. Inf. Sci., 2018
2017
Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data.
Int. J. Geogr. Inf. Sci., 2017
Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model.
Int. J. Geogr. Inf. Sci., 2017
Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata.
Int. J. Geogr. Inf. Sci., 2017
Int. J. Geogr. Inf. Sci., 2017
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models.
CoRR, 2017
Simulation of Urban Expansion and Farmland Loss in China by Integrating Cellular Automata and Random Forest.
CoRR, 2017
CoRR, 2017