most citedPolitical-LLM: Large Language Models in Political Science

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

Lincan Li, Bolin Shen, Chenxi Zhao +4

Graph-structured data, which captures non-Euclidean relationships and interactions between entities, is growing in scale and complexity. As a result, training state-of-the-art grap…

cs.CE2025

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses

Bolin Shen, Eren Erman Ozguven, Yue Zhao +3

Florida is particularly vulnerable to hurricanes, which frequently cause substantial economic losses. While prior studies have explored specific contributors to hurricane-induced d…

cs.LG2025

ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks

Zhan Cheng, Bolin Shen, Tianming Sha +3

Graph Neural Networks (GNNs) have gained traction in Graph-based Machine Learning as a Service (GMLaaS) platforms, yet they remain vulnerable to graph-based model extraction attack…

cs.CL20242 cited

Political-LLM: Large Language Models in Political Science

Lincan Li, Jiaqi Li, Catherine Chen +44

In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and mis…

cs.LG2024

Remote Sensing-Based Assessment of Economic Development

Yijian Pan, Yongchang Ma, Bolin Shen +1

The goal of our project is to use satellite data (including nighttime light data and remote sensing images) to give us some statistical estimation of the economic development level…