4 citations · 6 across the 5 of their papers we have counts for
5 papers
Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models
Yuanyuan Tian, Wenwen Li, Xiao Chen +4
Semantic search and recommendation of similar documents, such as news and reports about unusual environmental events (e.g., a dead whale washed ashore in Alaska) that contain spati…
Measuring Research Convergence in Interdisciplinary Teams Using Large Language Models and Graph Analytics
Wenwen Li, Yuanyuan Tian, Sizhe Wang +8
Understanding how interdisciplinary research teams converge on shared knowledge is a persistent challenge. This paper presents a novel, multi-layer, AI-driven analytical framework…
Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
Yuanyuan Tian, Wenwen Li, Lei Hu +5
Retrieval and recommendation are two essential tasks in modern search tools. This paper introduces a novel retrieval-reranking framework leveraging Large Language Models (LLMs) to…
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…
GeoAI for Knowledge Graph Construction: Identifying Causality Between Cascading Events to Support Environmental Resilience Research
Yuanyuan Tian, Wenwen Li
Knowledge graph technology is considered a powerful and semantically enabled solution to link entities, allowing users to derive new knowledge by reasoning data according to variou…