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2020 – today
- 2024
[j9]Qingfeng Guan
, Jingyi Wang, Shuliang Ren, Huan Gao, Zhewei Liang, Junyi Wang, Yao Yao:
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)- 2023
- [j8]Yao Yao, Siqi Lei, Zijin Guo, Yuanyuan Li, Shuliang Ren, Zhihang Liu, Qingfeng Guan, Peng Luo:
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) - [j7]Zhewei Liang, Jingyi Wang, Shuliang Ren, Yin Yu, Qingfeng Guan:
A novel framework for detecting non-recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector. Trans. GIS 27(1): 239-259 (2023) - [j6]Yao Yao, Chenqi Feng, Jiteng Xie, Xiaoqin Yan, Qingfeng Guan, Jian Han, Jiaqi Zhang, Shuliang Ren, Yuyun Liang, Peng Luo:
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) - [j5]Yao Yao, Chenqi Feng, Jiteng Xie, Xiaoqin Yan, Qingfeng Guan, Jian Han, Jiaqi Zhang, Shuliang Ren, Yuyun Liang, Peng Luo:
Cover Image. Trans. GIS 27(6): i (2023) - 2022
- [j4]Yao Yao, Xiaoqin Yan, Peng Luo, Yuyun Liang, Shuliang Ren, Ying Hu, Jian Han, Qingfeng Guan:
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) - 2021
- [j3]Qingfeng Guan, Shuliang Ren, Lirong Chen, Bin Feng, Yao Yao:
A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition. Comput. Geosci. 156: 104890 (2021) - [j2]Yao Yao, Jiaqi Zhang, Chen Qian, Yu Wang, Shuliang Ren, Zehao Yuan, Qingfeng Guan:
Delineating urban job-housing patterns at a parcel scale with street view imagery. Int. J. Geogr. Inf. Sci. 35(10): 1927-1950 (2021) - [j1]Jianjun Lyu, Ying Hu, Shuliang Ren, Yao Yao, Dan Ding, Qingfeng Guan, Liufeng Tao:
Extracting the Tailings Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning-Based Model. Remote. Sens. 13(4): 743 (2021)
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