Adaptive Zoning for Transport Mode Choice Modeling. - Alex Hagen-Zanker; Ying Jin 011 (Trans. GIS, 2013)

Applied Urban Modeling: New Types of Spatial Data Provide a Catalyst for New Models. - Ying Jin 011; Michael Batty (Trans. GIS, 2013)

Adaptive Zoning for Efficient Transport Modelling in Urban Models. - Alex Hagen-Zanker; Ying Jin 011 (ICCSA (3), 2015)

Design with Uncertainty: The Role of Future Options for Infrastructure Integration. - Claudio Martani; Ying Jin 011; Kenichi Soga; Stefan Scholtes (Comput. Aided Civ. Infrastructure Eng., 2016)

Big data and urban system model - Substitutes or complements? A case study of modelling commuting patterns in Beijing. - Li Wan 006; Shuo Gao; Chen Wu; Ying Jin 011; Mingrui Mao; Lei Yang (Comput. Environ. Urban Syst., 2018)

"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. - Zhou Fang; Jiaxin Qi; Tianren Yang; Li Wan 006; Ying Jin 011 (SIGSPATIAL/GIS, 2020)

Multitemporal Relearning With Convolutional LSTM Models for Land Use Classification. - Yue Zhu 004; Christian Geiß; Emily So; Ying Jin 011 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A topography-aware approach to the automatic generation of urban road networks. - Zhou Fang; Jiaxin Qi; Lubin Fan; Jianqiang Huang; Ying Jin 011; Tianren Yang (Int. J. Geogr. Inf. Sci., 2022)

A framework for human-computer interactive street network design based on a multi-stage deep learning approach. - Zhou Fang; Jiaxin Qi; Lubin Fan; Jianqiang Huang; Ying Jin 011; Tianren Yang (Comput. Environ. Urban Syst., 2022)

UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints. - Zhou Fang; Ying Jin 011; Shuwen Zheng; Liang Zhao; Tianren Yang (Comput. Environ. Urban Syst., 2024)