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ORCIDPengyuan Liu 0002
Person information
- affiliation: Singapore-ETH Centre, Future Cities Lab Global, Singapore
- affiliation: Nanjing University of Information Science and Technology, School of Geographical Sciences, China
- affiliation: National University of Singapore, Department of Architecture, Singapore
- affiliation (PhD 2022): University of Leicester, School of Geography, Geology and Environment, UK
Other persons with the same name
- Pengyuan Liu (aka: Peng-yuan Liu, Peng-Yuan Liu) — disambiguation page
- Pengyuan Liu 0001
![[0000-0003-4781-5082]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4781-5082")
— Beijing Language and Culture University, School of Information Science Language, China - Pengyuan Liu 0003 — Zhejiang University School of Medicine, Department of Gynecologic Oncology, Women's Hospital, Cancer Center, Institute of Translational Medicine, Hangzhou, China (and 1 more)
- Pengyuan Liu 0004 — Army Engineering University, Missile Engineering Department, Shijiazhuang, China
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2020 – today
- 2024
[j8]Siqin Wang, Xiao Huang, Pengyuan Liu, Mengxi Zhang, Filip Biljecki, Tao Hu, Xiaokang Fu, Lingbo Liu, Xintao Liu, Ruomei Wang, Yuanyuan Huang, Jingjing Yan, Jinghan Jiang, Michaelmary Chukwu, Seyed Reza Naghedi, Moein Hemmati, Yaxiong Shao, Nan Jia, Zhiyang Xiao, Tian Tian, Yaxin Hu, Lixiaona Yu, Winston Yap, Edgardo Macatulad, Zhuo Chen, Yunhe Cui, Koichi Ito, Mengbi Ye, Zicheng Fan, Binyu Lei, Shuming Bao:
Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review. Int. J. Appl. Earth Obs. Geoinformation 128: 103734 (2024)- [j7]Binyu Lei, Pengyuan Liu, Nikola Milojevic-Dupont, Filip Biljecki:
Predicting building characteristics at urban scale using graph neural networks and street-level context. Comput. Environ. Urban Syst. 111: 102129 (2024) - 2023
- [j6]Stefano De Sabbata, Pengyuan Liu:
A graph neural network framework for spatial geodemographic classification. Int. J. Geogr. Inf. Sci. 37(12): 2464-2486 (2023) - [j5]Yuhan Chen, Pengyuan Liu, Jiechen Zhao, Kaijian Huang, Qingyun Yan:
Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery. Remote. Sens. 15(13): 3366 (2023) - [i1]Haoran Ma, Yan Zhang, Pengyuan Liu, Fan Zhang, Pengyu Zhu:
How does spatial structure affect psychological restoration? A method based on Graph Neural Networks and Street View Imagery. CoRR abs/2311.17361 (2023) - 2022
- [j4]Pengyuan Liu, Filip Biljecki:
A review of spatially-explicit GeoAI applications in Urban Geography. Int. J. Appl. Earth Obs. Geoinformation 112: 102936 (2022) - [j3]Junjie Luo, Pengyuan Liu, Lei Cao:
Coupling a Physical Replica with a Digital Twin: A Comparison of Participatory Decision-Making Methods in an Urban Park Environment. ISPRS Int. J. Geo Inf. 11(8): 452 (2022) - 2021
- [j2]Pengyuan Liu, Stefano De Sabbata:
A graph-based semi-supervised approach to classification learning in digital geographies. Comput. Environ. Urban Syst. 86: 101583 (2021) - 2020
- [j1]Can Chen, Chao Zhou, Pengyuan Liu, Dengyin Zhang:
Iterative Reweighted Tikhonov-Regularized Multihypothesis Prediction Scheme for Distributed Compressive Video Sensing. IEEE Trans. Circuits Syst. Video Technol. 30(1): 1-10 (2020)
Coauthor Index
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