activity
20222024
most citedSemantic Similarity Measure of Natural Language Text through Machine Learning and a Keyword-Aware Cross-Encoder-Ranking Summarizer -- A Case Study Using UCGIS GIS&T Body of Knowledge

4 citations · 7 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CY20242 cited

A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research

Wenwen Li, Hu Shao, Sizhe Wang +2

Big earth science data offers the scientific community great opportunities. Many more studies at large-scales, over long-terms and at high resolution can now be conducted using the…

cs.CV2024

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping

Wenwen Li, Chia-Yu Hsu, Sizhe Wang +10

This paper assesses trending AI foundation models, especially emerging computer vision foundation models and their performance in natural landscape feature segmentation. While the…

cs.CV2023

Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features

Wenwen Li, Chia-Yu Hsu, Sizhe Wang +2

This paper introduces a real-time GeoAI workflow for large-scale image analysis and the segmentation of Arctic permafrost features at a fine-granularity. Very high-resolution (0.5m…

cs.CL20234 cited

Semantic Similarity Measure of Natural Language Text through Machine Learning and a Keyword-Aware Cross-Encoder-Ranking Summarizer -- A Case Study Using UCGIS GIS&T Body of Knowledge

Yuanyuan Tian, Wenwen Li, Sizhe Wang +1

Initiated by the University Consortium of Geographic Information Science (UCGIS), GIS&T Body of Knowledge (BoK) is a community-driven endeavor to define, develop, and document geos…

cs.HC2023

GeoGraphViz: Geographically Constrained 3D Force-Directed Graph for Knowledge Graph Visualization

Sizhe Wang, Wenwen Li, Zhining Gu

Knowledge graphs are a key technique for linking and integrating cross-domain data, concepts, tools, and knowledge to enable data-driven analytics. As much of the worlds data have…

stat.AP2023

Applying Machine Learning to Understand Water Security and Water Access Inequality in Underserved Colonia Communities

Zhining Gu, Wenwen Li, Michael Hanemann +8

This paper explores the application of machine learning to enhance our understanding of water accessibility issues in underserved communities called Colonias located along the nort…