Book Chapter | Urban mobility prediction with attention and geo-info
Title: Prediction and Analysis of Urban Mobility Based on Attention Mechanism and Geographic Information Embedding
城市模型 (Urban Modeling)
Perceiving rural China via deep learning, from street views to countryside.
Title: From Street View Imagery to the Countryside: Large-Scale Perception of Rural China Using Deep Learning
LandGPT: Multi-modal model for parcel land use classification using multi-source data
Title: LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data
Framework for mobility data synthesis and neural network evaluation.
Title: A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks
MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
Title: MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
Interpreting urban morphology and functions with explainable graph neural networks
Title: Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Urban Morphology-Function Link via Explainable Graph Neural Network
Title: Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Explainable mapping of the irregular land use parcel with a data fusion deep learning model
Title: Explainable mapping of the irregular land use parcel with a data fusion deep learning model
Exploring Transfer-Out Land Parcels for Urban Development Under ELC Policy in China
Title: A Framework for Exploring “Transfer-Out” Land Parcels for Urban Development Under the Ecological Control Line (ECL) Policy in China
Individual mobility prediction by considering traveling features and historical activity chain
Title: Individual mobility prediction by considering current traveling features and historical activity chain