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ORCIDYing Jin 0011
Person information
- affiliation: University of Cambridge, Department of Architecture, Martin Centre for Architectural and Urban Studies, United Kingdom
Other persons with the same name
- Ying Jin — disambiguation page
- Ying Jin 0001
![[0000-0003-4522-5820]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4522-5820")
— California State University, Sacramento, CA, USA - Ying Jin 0002 — Jilin University
- Ying Jin 0003 — Virginia Tech (and 1 more)
- Ying Jin 0004 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Ying Jin 0005 — Rice University (and 1 more)
- Ying Jin 0006 — Osaka University
- Ying Jin 0007 — Villanova University
- Ying Jin 0008 — Taiyuan University of Technology
- Ying Jin 0009 — Xi'an Shaangu Power Co.
- Ying Jin 0010 — Chartered Semiconductor Manufacturing, Singapore
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2020 – today
- 2024
[j8]Zhou Fang, Ying Jin, Shuwen Zheng, Liang Zhao, Tianren Yang:
UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints. Comput. Environ. Urban Syst. 111: 102132 (2024)- 2022
- [j7]Zhou Fang, Jiaxin Qi, Lubin Fan, Jianqiang Huang, Ying Jin, Tianren Yang:
A topography-aware approach to the automatic generation of urban road networks. Int. J. Geogr. Inf. Sci. 36(10): 2035-2059 (2022) - [j6]Zhou Fang, Jiaxin Qi, Lubin Fan, Jianqiang Huang, Ying Jin, Tianren Yang:
A framework for human-computer interactive street network design based on a multi-stage deep learning approach. Comput. Environ. Urban Syst. 96: 101853 (2022) - 2021
- [j5]Yue Zhu, Christian Geiß, Emily So, Ying Jin:
Multitemporal Relearning With Convolutional LSTM Models for Land Use Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3251-3265 (2021) - 2020
- [c2]Zhou Fang, Jiaxin Qi, Tianren Yang, Li Wan, Ying Jin:
"Reading" cities with computer vision: a new multi-spatial scale urban fabric dataset and a novel convolutional neural network solution for urban fabric classification tasks. SIGSPATIAL/GIS 2020: 507-517
2010 – 2019
- 2018
- [j4]Li Wan, Shuo Gao, Chen Wu, Ying Jin, Mingrui Mao, Lei Yang:
Big data and urban system model - Substitutes or complements? A case study of modelling commuting patterns in Beijing. Comput. Environ. Urban Syst. 68: 64-77 (2018) - 2016
- [j3]Claudio Martani, Ying Jin, Kenichi Soga, Stefan Scholtes:
Design with Uncertainty: The Role of Future Options for Infrastructure Integration. Comput. Aided Civ. Infrastructure Eng. 31(10): 733-748 (2016) - 2015
- [c1]Alex Hagen-Zanker, Ying Jin:
Adaptive Zoning for Efficient Transport Modelling in Urban Models. ICCSA (3) 2015: 673-687 - 2013
- [j2]Ying Jin, Michael Batty:
Applied Urban Modeling: New Types of Spatial Data Provide a Catalyst for New Models. Trans. GIS 17(5): 641-644 (2013) - [j1]Alex Hagen-Zanker, Ying Jin:
Adaptive Zoning for Transport Mode Choice Modeling. Trans. GIS 17(5): 706-723 (2013)
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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