170 citations · 605 across the 17 of their papers we have counts for
18 papers
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Gengchen Mai, Weiming Huang, Jin Sun +11
Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by…
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT
Bing Zhou, Lei Zou, Yingjie Hu +2
Extracting precise geographical information from textual contents is crucial in a plethora of applications. For example, during hazardous events, a robust and unbiased toponym extr…
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…
Location reference recognition from texts: A survey and comparison
Xuke Hu, Zhiyong Zhou, Hao Li +5
A vast amount of location information exists in unstructured texts, such as social media posts, news stories, scientific articles, web pages, travel blogs, and historical archives.…
A Review of Location Encoding for GeoAI: Methods and Applications
Gengchen Mai, Krzysztof Janowicz, Yingjie Hu +5
A common need for artificial intelligence models in the broader geoscience is to represent and encode various types of spatial data, such as points (e.g., points of interest), poly…
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…
Building benchmarking frameworks for supporting replicability and reproducibility: spatial and textual analysis as an example
Yingjie Hu
Replicability and reproducibility (R&R) are critical for the long-term prosperity of a scientific discipline. In GIScience, researchers have discussed R&R related to different rese…
Artificial Intelligence Approaches
Yingjie Hu, Wenwen Li, Dawn Wright +4
Artificial Intelligence (AI) has received tremendous attention from academia, industry, and the general public in recent years. The integration of geography and AI, or GeoAI, provi…
Geo-Text Data and Data-Driven Geospatial Semantics
Yingjie Hu
Many datasets nowadays contain links between geographic locations and natural language texts. These links can be geotags, such as geotagged tweets or geotagged Wikipedia pages, in…
A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements
Yingjie Hu, Huina Mao, Grant McKenzie
Local place names are frequently used by residents living in a geographic region. Such place names may not be recorded in existing gazetteers, due to their vernacular nature, relat…
Extracting and Analyzing Semantic Relatedness between Cities Using News Articles
Yingjie Hu, Xinyue Ye, Shih-Lung Shaw
News articles capture a variety of topics about our society. They reflect not only the socioeconomic activities that happened in our physical world, but also some of the cultures,…
An empirical study on the names of points of interest and their changes with geographic distance
Yingjie Hu, Krzysztof Janowicz
While Points Of Interest (POIs), such as restaurants, hotels, and barber shops, are part of urban areas irrespective of their specific locations, the names of these POIs often reve…
Spatial Data Infrastructures
Yingjie Hu, Wenwen Li
Spatial data infrastructure (SDI) is the infrastructure that facilitates the discovery, access, management, distribution, reuse, and preservation of digital geospatial resources. T…
Geospatial Semantics
Yingjie Hu
Geospatial semantics is a broad field that involves a variety of research areas. The term semantics refers to the meaning of things, and is in contrast with the term syntactics. Ac…