activity
20182026
most citedA Review of Location Encoding for GeoAI: Methods and Applications

170 citations · 634 across the 30 of their papers we have counts for

collaborators
Showing 2023 · cs.AIShow all

5 papers · 2 filters

cs.AI2023★ 26 cited

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models

Jinmeng Rao, Song Gao, Gengchen Mai +1

In recent years we have seen substantial advances in foundation models for artificial intelligence, including language, vision, and multimodal models. Recent studies have highlight…

cs.AI2023★ 66 cited

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…

cs.AI2023★ 10 cited

AGI for Agriculture

Guoyu Lu, Sheng Li, Gengchen Mai +11

Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education. Within healthcare, AGI is being…

cs.AI2023★ 1 cited

EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System

Yanlin Qi, Gengchen Mai, Rui Zhu +1

Over the past decade, the electric vehicle industry has experienced unprecedented growth and diversification, resulting in a complex ecosystem. To effectively manage this multiface…

cs.AI2023★ 37 cited

AGI: Artificial General Intelligence for Education

Ehsan Latif, Gengchen Mai, Matthew Nyaaba +6

Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such as GPT-4 and…