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Yao Yao 0004
Person information
- affiliation: Sun Yat-sen University, School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou, China
Other persons with the same name
- Yao Yao — disambiguation page
- Yao Yao 0001
— Huawei Technologies Company Ltd., Shanghai, China (and 1 more)
- Yao Yao 0002
- Yao Yao 0003
- Yao Yao 0005 — Beijing Institute of Technology, Beijing School of Computer Science and Technology, China
- Yao Yao 0006
- Yao Yao 0007
- Yao Yao 0008
- Yao Yao 0009
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2020 – today
- 2024
- [j42]Xiaoqin Yan, Zhangwei Jiang
A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis. Int. J. Appl. Earth Obs. Geoinformation 129: 103805 (2024) - [j41]Wei Tu
Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China. Int. J. Geogr. Inf. Sci. 38(2): 381-406 (2024) - [j40]Qingfeng Guan
Predicting short-term PM 2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network. Int. J. Geogr. Inf. Sci. 38(4): 778-801 (2024) - [j39]Hao Wu, Zhangwei Jiang, Anning Dong, Ronghui Gao, Xiaoqin Yan, Zhihui Hu, Fengling Mao, Hong Liu, Pengxuan Li, Peng Luo, Zijin Guo, Qingfeng Guan, Yao Yao:
DCAI-CLUD: a data-centric framework for the construction of land-use datasets. Int. J. Geogr. Inf. Sci. 38(11): 2379-2402 (2024) - [j38]Yao Yao
Estimating China's poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques. Geo spatial Inf. Sci. 27(4): 1000-1016 (2024) - [j37]Yao Yao, Ying Jiang, Zhenhui Sun
Applicability and sensitivity analysis of vector cellular automata model for land cover change. Comput. Environ. Urban Syst. 109: 102090 (2024) - 2023
- [j36]Yao Yao, Haoyan Zhang, Zhenhui Sun
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata. Int. J. Appl. Earth Obs. Geoinformation 125: 103602 (2023) - [j35]Yao Yao
Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithm. Int. J. Geogr. Inf. Sci. 37(6): 1420-1448 (2023) - [j34]Yao Yao
Unsupervised land-use change detection using multi-temporal POI embedding. Int. J. Geogr. Inf. Sci. 37(11): 2392-2415 (2023) - [j33]Yao Yao
A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data. Trans. GIS 27(6): 1662-1679 (2023) - [j32]Yao Yao
Cover Image. Trans. GIS 27(6): i (2023) - [j31]Yao Yao, Zijin Guo, Chen Dou, Minghui Jia, Ye Hong
Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism. Comput. Environ. Urban Syst. 104: 102009 (2023) - 2022
- [j30]Yao Yao, Xiaoqin Yan, Peng Luo
Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 106: 102664 (2022) - [j29]Yao Yao, Tao Cheng, Zhenhui Sun
VecLI: A framework for calculating vector landscape indices considering landscape fragmentation. Environ. Model. Softw. 149: 105325 (2022) - [j28]Weiming Huang
Estimating urban functional distributions with semantics preserved POI embedding. Int. J. Geogr. Inf. Sci. 36(10): 1905-1930 (2022) - [j27]Huan Gao
cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [i6]Yao Yao, Zhuolun Wang, Peng Luo, Hanyu Yin, Ziqi Liu, Jiaqi Zhang, Nengjing Guo, Qingfeng Guan:
RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference. CoRR abs/2201.07370 (2022) - 2021
- [j26]Qingfeng Guan
A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition. Comput. Geosci. 156: 104890 (2021) - [j25]Jinbao Zhang
The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types. Int. J. Geogr. Inf. Sci. 35(1): 193-211 (2021) - [j24]Yao Yao
Delineating urban job-housing patterns at a parcel scale with street view imagery. Int. J. Geogr. Inf. Sci. 35(10): 1927-1950 (2021) - [j23]Jianjun Lyu, Ying Hu, Shuliang Ren
Extracting the Tailings Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning-Based Model. Remote. Sens. 13(4): 743 (2021) - [j22]Jialyu He
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. 59(8): 6357-6370 (2021) - [j21]Yao Yao, Yifei Liu, Qingfeng Guan
Spatiotemporal distribution of human trafficking in China and predicting the locations of missing persons. Comput. Environ. Urban Syst. 85: 101567 (2021) - [j20]Xun Liang
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. 85: 101569 (2021) - [j19]Yongting Pan, Wen Zeng, Qingfeng Guan
Variability in and mixtures among residential vacancies at granular levels: Evidence from municipal water consumption data. Comput. Environ. Urban Syst. 90: 101702 (2021) - [c2]Kaihu Du, Boyang Cui, Yao Yao, Yuyang Cai, Yaqian Zhai, Qingfeng Guan:
Extracting Building Contour and Level by Coupling U-net and Single-View High-Resolution Remote Sensing Images. SpatialDI 2021: 236-252 - [i5]Yao Yao, Linlong Li, Zhaotang Liang, Tao Cheng, Zhenhui Sun, Peng Luo, Qingfeng Guan, Yaqian Zhai, Shihao Kou, Yuyang Cai, Lefei Li, Xinyue Ye:
UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level. CoRR abs/2103.08538 (2021) - 2020
- [j18]Yao Yao, Chen Qian
Delineating Mixed Urban "Jobs-Housing" Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery. Complex. 2020: 8018629:1-8018629:13 (2020) - [j17]Yaqian Zhai
Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata. Int. J. Geogr. Inf. Sci. 34(7): 1475-1499 (2020) - [j16]Yao Yao
Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 504-512 (2020) - [i4]Xun Liang, Qingfeng Guan, Keith C. Clarke, Shishi Liu, Bingyu Wang, Yao Yao:
Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China. CoRR abs/2010.11541 (2020)
2010 – 2019
- 2019
- [j15]Hanqiu Yue
Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China. Int. J. Geogr. Inf. Sci. 33(5): 1082-1105 (2019) - [j14]Ye Hong
Hierarchical community detection and functional area identification with OSM roads and complex graph theory. Int. J. Geogr. Inf. Sci. 33(8): 1569-1587 (2019) - [j13]Yao Yao
A human-machine adversarial scoring framework for urban perception assessment using street-view images. Int. J. Geogr. Inf. Sci. 33(12): 2363-2384 (2019) - [j12]Xingdong Deng, Penghua Liu
Geospatial Big Data: New Paradigm of Remote Sensing Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3841-3851 (2019) - [j11]Yao Yao
Fine-scale intra- and inter-city commercial store site recommendations using knowledge transfer. Trans. GIS 23(5): 1029-1047 (2019) - [j10]Ruoyu Wang
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. 78 (2019) - [j9]Yatao Zhang, Qingquan Li
Functional urban land use recognition integrating multi-source geospatial data and cross-correlations. Comput. Environ. Urban Syst. 78 (2019) - [c1]Yao Yao, Daiqiang Wu, Jian Yang, Xuguo Shi
Analyzing the Effects of Rainfall on the Urban Traffic Congestion Bottlenecks by Using Floating Car Data. IGARSS 2019: 943-946 - 2018
- [j8]Jialv He
Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques. Int. J. Geogr. Inf. Sci. 32(10): 2076-2097 (2018) - [j7]Jianjun Lv, Teng Ma, Zhiwen Dong
Temporal and Spatial Analyses of the Landscape Pattern of Wuhan City Based on Remote Sensing Images. ISPRS Int. J. Geo Inf. 7(9): 340 (2018) - [j6]Yao Yao
Mapping fine-scale urban housing prices by fusing remotely sensed imagery and social media data. Trans. GIS 22(2): 561-581 (2018) - [j5]Yao Yao
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. 70: 163-174 (2018) - 2017
- [j4]Yao Yao, Xia Li
Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model. Int. J. Geogr. Inf. Sci. 31(4): 825-848 (2017) - [j3]Yao Yao, Xiaoping Liu, Xia Li
Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. Int. J. Geogr. Inf. Sci. 31(6): 1220-1244 (2017) - [j2]Xiaoping Liu
Classifying urban land use by integrating remote sensing and social media data. Int. J. Geogr. Inf. Sci. 31(8): 1675-1696 (2017) - [j1]Yao Yao
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. 31(12): 2452-2479 (2017) - [i3]Yao Yao, Jialv He, Jinbao Zhang, Yatao Zhang:
Extracting urban impervious surface from GF-1 imagery using one-class classifiers. CoRR abs/1705.04824 (2017) - [i2]Yao Yao, Xiaoping Liu, Dachuan Zhang, Zhaotang Liang, Yatao Zhang:
Simulation of Urban Expansion and Farmland Loss in China by Integrating Cellular Automata and Random Forest. CoRR abs/1705.05651 (2017) - [i1]Yao Yao, Haolin Liang, Xia Li, Jinbao Zhang, Jialv He:
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models. CoRR abs/1708.01580 (2017)
Coauthor Index
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