Jinzhou Cao(曹劲舟)
Jinzhou Cao(曹劲舟)
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UrbanMMCL: Urban Region Representations via Multi-Modal and Multi-Graph Self-Supervised Contrastive Learning
Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
Learning Fine-Grained Urban Mobility Dynamics Through Large Model-Enhanced Multimodal Representations
ST-camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting
Urban representation learning for fine-grained economic mapping: A semi-supervised graph-based approach
Disentangling the hourly dynamics of mixed urban function: A multimodal fusion perspective using dynamic graphs
Revealing Transport Inequality from an Activity Space Perspective: A Study Based on Human Mobility Data
Machine Learning-Based Economic Development Mapping from Multi-Source Open Geospatial Data
Uncovering Spatial Synergy of the Megacity Region: A Flow Perspective
Resolving Urban Mobility Networks from Individual Travel Graphs Using Massive-Scale Mobile Phone Tracking Data
Scale Effect on Fusing Remote Sensing and Human Sensing to Portray Urban Functions
Segregation or Integration? Exploring Activity Disparities between Migrants and Settled Urban Residents Using Human Mobility Data
Sensing Urban Dynamics by Fusing Multi-sourced Spatiotemporal Big Data
Characterizing Preferred Motif Choices and Distance Impacts
Integrating Aerial and Street View Images for Urban Land Use Classification
Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data
Coupling Mobile Phone and Social Media Data: A New Approach to Understanding Urban Functions and Diurnal Patterns
Spatio-Temporal Analysis of Aggregated Human Activities Based on Massive Mobile Phone Tracking Data
Comparison of Urban Human Movements Inferring from Multi-Source Spatial-Temporal Data
Exploring the Distribution and Dynamics of Functional Regions Using Mobile Phone Data and Social Media Data
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