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Pengyuan Liu

Orcid: 0000-0002-5443-5910

Affiliations:
  • Singapore-ETH Centre, Future Cities Lab Global, Singapore
  • Nanjing University of Information Science and Technology, School of Geographical Sciences, China
  • National University of Singapore, Department of Architecture, Singapore
  • University of Leicester, School of Geography, Geology and Environment, UK (PhD 2022)


According to our database1, Pengyuan Liu authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Predicting building characteristics at urban scale using graph neural networks and street-level context.
[BibTeX]
[DOI]
Binyu Lei
,
Pengyuan Liu
,
Nikola Milojevic-Dupont
,
Filip Biljecki
Comput. Environ. Urban Syst., 2024

Thermal Comfort in Sight: Thermal Affordance and its Visual Assessment for Sustainable Streetscape Design.
[BibTeX]
[DOI]
Sijie Yang
,
Adrian Chong
,
Pengyuan Liu
,
Filip Biljecki
CoRR, 2024

Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review.
[BibTeX]
[DOI]
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
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
A graph neural network framework for spatial geodemographic classification.
[BibTeX]
[DOI]
Stefano De Sabbata
,
Pengyuan Liu
Int. J. Geogr. Inf. Sci., December, 2023

Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery.
[BibTeX]
[DOI]
Yuhan Chen
,
Pengyuan Liu
,
Jiechen Zhao
,
Kaijian Huang
,
Qingyun Yan
Remote. Sens., July, 2023

How does spatial structure affect psychological restoration? A method based on Graph Neural Networks and Street View Imagery.
[BibTeX]
[DOI]
Haoran Ma
,
Yan Zhang
,
Pengyuan Liu
,
Fan Zhang
,
Pengyu Zhu
CoRR, 2023

2022
Coupling a Physical Replica with a Digital Twin: A Comparison of Participatory Decision-Making Methods in an Urban Park Environment.
[BibTeX]
[DOI]
Junjie Luo
,
Pengyuan Liu
,
Lei Cao
ISPRS Int. J. Geo Inf., 2022

A review of spatially-explicit GeoAI applications in Urban Geography.
[BibTeX]
[DOI]
Pengyuan Liu
,
Filip Biljecki
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
A graph-based semi-supervised approach to classification learning in digital geographies.
[BibTeX]
[DOI]
Pengyuan Liu
,
Stefano De Sabbata
Comput. Environ. Urban Syst., 2021

2020
Iterative Reweighted Tikhonov-Regularized Multihypothesis Prediction Scheme for Distributed Compressive Video Sensing.
[BibTeX]
[DOI]
Can Chen
,
Chao Zhou
,
Pengyuan Liu
,
Dengyin Zhang
IEEE Trans. Circuits Syst. Video Technol., 2020


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