Gengchen Mai

About Gengchen Mai

Gengchen Mai, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of GeoAI, Knowledge Graph, GIScience, AI, Spatially Explicit AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Geollm: Extracting geospatial knowledge from large language models

The comparison of spatial patterns and factors associated with healthcare provider knowledge in palliative care in various regions of China

SpatialScene2Vec: A self-supervised contrastive representation learning method for spatial scene similarity evaluation

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction

Revolutionizing finance with llms: An overview of applications and insights

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)

Agi for agriculture

Gengchen Mai Information

University

Position

PhD Candidate

Citations(all)

1938

Citations(since 2020)

1804

Cited By

463

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

45

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Gengchen Mai Skills & Research Interests

GeoAI

Knowledge Graph

GIScience

AI

Spatially Explicit AI

Top articles of Gengchen Mai

Geollm: Extracting geospatial knowledge from large language models

arXiv preprint arXiv:2310.06213

2023/10/10

The comparison of spatial patterns and factors associated with healthcare provider knowledge in palliative care in various regions of China

Humanities and Social Sciences Communications

2024/4/13

SpatialScene2Vec: A self-supervised contrastive representation learning method for spatial scene similarity evaluation

International Journal of Applied Earth Observation and Geoinformation

2024/4/1

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation

arXiv preprint arXiv:2403.19584

2024/3/28

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction

arXiv preprint arXiv:2402.15398

2024/2/23

Yan Luo
Yan Luo

H-Index: 17

Gengchen Mai
Gengchen Mai

H-Index: 11

Revolutionizing finance with llms: An overview of applications and insights

2024/1/22

Artificial general intelligence (AGI) for education

2023/4

Towards general-purpose representation learning of polygonal geometries

GeoInformatica

2023/4

HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning

GeoInformatica

2023/4

Learning urban region representations with POIs and hierarchical graph infomax

ISPRS Journal of Photogrammetry and Remote Sensing

2023/2/1

Spatial Representation Learning in GeoAI

2023/12/29

Gengchen Mai
Gengchen Mai

H-Index: 11

Ziyuan Li
Ziyuan Li

H-Index: 15

On the promises and challenges of multimodal foundation models for geographical, environmental, agricultural, and urban planning applications

arXiv preprint arXiv:2312.17016

2023/12/23

Multimodality of ai for education: Towards artificial general intelligence

arXiv preprint arXiv:2312.06037

2023/12/10

Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs

2023/12/4

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations

2023/7/3

Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022)

SIGSPATIAL Special

2023/11/7

GeoKG'2022 Workshop Report: The 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs

SIGSPATIAL Special

2023/11/7

See List of Professors in Gengchen Mai University(University of California, Santa Barbara)

Co-Authors

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