98 citations · 99 across the 5 of their papers we have counts for
6 papers
MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models
Ya Wen, Jixuan Cai, Yulun Zhou +1
Geospatial Foundation Models (GFMs) are emerging as a powerful paradigm for learning semantically rich and geographically consistent visual and physical representations. However, t…
MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale
Ya Wen, Jixuan Cai, Qiyao Ma +4
Representation learning of geospatial locations remains a core challenge in achieving general geospatial intelligence, with increasingly diverging philosophies and techniques. Whil…
Using Drone Swarm to Stop Wildfire: A Predict-then-optimize Approach
Shijie Pan, Aoran Cheng, Yiqi Sun +4
Drone swarms coupled with data intelligence can be the future of wildfire fighting. However, drone swarm firefighting faces enormous challenges, such as the highly complex environm…
Demo2Vec: Learning Region Embedding with Demographic Information
Ya Wen, Yulun Zhou
Demographic data, such as income, education level, and employment rate, contain valuable information of urban regions, yet few studies have integrated demographic information to ge…
Evolutionary Greedy Algorithm for Optimal Sensor Placement Problem in Urban Sewage Surveillance
Sunyu Wang, Yutong Xia, Huanfa Chen +2
Designing a cost-effective sensor placement plan for sewage surveillance is a crucial task because it allows cost-effective early pandemic outbreak detection as supplementation for…
Vector-based Pedestrian Navigation in Cities
Christian Bongiorno, Yulun Zhou, Marta Kryven +5
How do pedestrians choose their paths within city street networks? Researchers have tried to shed light on this matter through strictly controlled experiments, but an ultimate answ…