40 citations · 143 across the 8 of their papers we have counts for
14 papers
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research
Dalton Lunga, Yingjie Hu, Shawn Newsam +4
Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption. However, the efficient design and implementation of GeoAI systems face many o…
Aligning geographic entities from historical maps for building knowledge graphs
Kai Sun, Yingjie Hu, Jia Song +1
Historical maps contain rich geographic information about the past of a region. They are sometimes the only source of information before the availability of digital maps. Despite t…
How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey
Yingjie Hu, Jimin Wang
Social media platforms, such as Twitter, have been increasingly used by people during natural disasters to share information and request for help. Hurricane Harvey was a category 4…
Starting with data: advancing spatial data science by building and sharing high-quality datasets
Yingjie Hu
Spatial data science has emerged in recent years as an interdisciplinary field. This position paper discusses the importance of building and sharing high-quality datasets for spati…
Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform
Jimin Wang, Yingjie Hu
Geoparsing is an important task in geographic information retrieval. A geoparsing system, known as a geoparser, takes some texts as the input and outputs the recognized place menti…
Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers
Jimin Wang, Yingjie Hu
A rich amount of geographic information exists in unstructured texts, such as Web pages, social media posts, housing advertisements, and historical archives. Geoparsers are useful…