Publications

RAMEN: Region-Adaptive Mixture of Ego-Networks for Multimodal Geospatial Fusion in Urban Region Representation
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
Uncovering Spatial Synergy of the Megacity Region: A Flow Perspective
Machine Learning-Based Economic Development Mapping from Multi-Source Open Geospatial Data
大数据驱动的个体出行模式与城市空间结构交互研究
Big Data-Driven Research on the Interaction of Human Mobility Pattern and Urban Spatial Structure
Resolving Urban Mobility Networks from Individual Travel Graphs Using Massive-Scale Mobile Phone Tracking Data
Segregation or Integration? Exploring Activity Disparities between Migrants and Settled Urban Residents Using Human Mobility Data
Scale Effect on Fusing Remote Sensing and Human Sensing to Portray Urban Functions
融合多源时空大数据感知城市动态
Sensing Urban Dynamics by Fusing Multi-sourced Spatiotemporal Big Data
Extracting Trips from Multi-Sourced Data for Mobility Pattern Analysis: An App-Based Data Example
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
基于大规模手机定位数据的群体活动时空特征分析
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
A Study of Users' Movements Based on Check-In Data in Location-Based Social Networks
基于微博位置签到数据的 POI 更新方法