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RAMEN: Region-Adaptive Mixture of Ego-Networks for Multimodal Geospatial Fusion in Urban Region Representation

Genan Dai, Zitao Guo, Hu Huang, 曹劲舟, Liwen Jing, Bowen Zhang

UrbanMMCL: Urban Region Representations via Multi-Modal and Multi-Graph Self-Supervised Contrastive Learning

曹劲舟, Jiashi Chen, Xiangxu Wang, Weiming Huang, Dongsheng Chen, Tianhong Zhao, Wei Tu, Qingquan Li

Learning Fine-Grained Urban Mobility Dynamics Through Large Model-Enhanced Multimodal Representations

Tianhong Zhao, Jianbin Li, 曹劲舟, Wei Tu, Filip Biljecki, Shengao Yi, Zhilu Yuan

ST-camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting

Xiangxu Wang, 曹劲舟, Tianhong Zhao, Bowen Zhang, Guanzhou Chen, Zhenhui Li, 陈浩林, Wei Tu, Qingquan Li

Urban representation learning for fine-grained economic mapping: A semi-supervised graph-based approach

曹劲舟, Xiangxu Wang, Jiashi Chen, Wei Tu, Zhenhui Li, Xindong Yang, Tianhong Zhao, Qingquan Li

Disentangling the hourly dynamics of mixed urban function: A multimodal fusion perspective using dynamic graphs

曹劲舟, Xiangxu Wang, Guanzhou Chen, Xiaole Shen, Wei Tu, Tianhong Zhao, Jiashi Chen, Qingquan Li

Revealing Transport Inequality from an Activity Space Perspective: A Study Based on Human Mobility Data

Qi-Li Gao, Yang Yue, Chen Zhong, 曹劲舟, Wei Tu, Qing-Quan Li

Machine Learning-Based Economic Development Mapping from Multi-Source Open Geospatial Data

曹瑞, Wei Tu, Jixuan Cai, Tianhong Zhao, Jie Xiao, 曹劲舟, Qili Gao, Hanjing Su

Uncovering Spatial Synergy of the Megacity Region: A Flow Perspective

Bichen Fang, Wei Tu, Mingxiao Li, 曹劲舟, Wei Gao, Yang Yue, Qingquan Li

Big Data-Driven Research on the Interaction of Human Mobility Pattern and Urban Spatial Structure