52 citations · 80 across the 13 of their papers we have counts for
13 papers
When Earth Foundation Models Meet Diffusion: An Application to Land Surface Temperature Super-Resolution
Yiheng Chen, Zihui Ma, Peishi Jiang +6
Land surface temperature (LST) super-resolution is important for environmental monitoring. However, it remains challenging as coarse thermal observations severely underdetermine fi…
Politicized Attention Shifts Amplify Polarization in the Information Ecosystem during California Wildfires
Yiheng Chen, Alina Hagen, Fan Yang +4
Wildfires require governments to communicate under conditions of urgency, uncertainty, and intense public scrutiny, yet such communication now unfolds within a digitally mediated e…
Empowering LLM Agents with Geospatial Awareness: Toward Grounded Reasoning for Wildfire Response
Yiheng Chen, Lingyao Li, Zihui Ma +4
Effective disaster response is essential for safeguarding lives and property. Existing statistical approaches often lack semantic context, generalize poorly across events, and offe…
LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
Naiyi Li, Zihui Ma, Runlong Yu +1
Digital Twins (DTs) offer powerful tools for managing complex infrastructure systems, but their effectiveness is often limited by challenges in integrating unstructured knowledge.…
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
Zihui Ma, Lingyao Li, Juan Li +4
Rapid, fine-grained disaster damage assessment is essential for effective emergency response, yet remains challenging due to limited ground sensors and delays in official reporting…
LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment
Lingyao Li, Dawei Li, Zhenhui Ou +5
Efficient simulation is essential for enhancing proactive preparedness for sudden-onset disasters such as earthquakes. Recent advancements in large language models (LLMs) as world…
Assessing Response Disparities in California Wildland-Urban-Interface (WUI) Cities Using the Compartmental Model
Zihui Ma, Guangxiao Hu, Ting-Syuan Lin +4
The increasing frequency and severity of wildfires pose significant risks to communities, infrastructure, and the environment, especially in Wildland-Urban Interface (WUI) areas. E…
Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design
Lingyao Li, Songhua Hu, Yinpei Dai +9
As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in…
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
Huizi Yu, Lizhou Fan, Lingyao Li +9
Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research…
Thriving in a Pandemic: Lessons Learned from a Resilient University Program Seen Through the CoI Lens
Zihui Ma, Lingyao Li, John C. E. Johnson
In March 2020, college campuses underwent a sudden transformation to online learning due to the COVID-19 outbreak. To understand the impact of COVID-19 on students' expectations, t…
Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season
Zihui Ma, Lingyao Li, Libby Hemphill +2
Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communit…
ChatGPT in education: A discourse analysis of worries and concerns on social media
Lingyao Li, Zihui Ma, Lizhou Fan +3
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and conce…
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma +3
Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become…