activity
20242026
most citedCharacterizing Scam-Driven Human Trafficking Across Chinese Borders and Online Community Responses on RedNote

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Analyzing Codes of Conduct for Online Safety in Video Games at Scale

Jiuming Jiang, Shidong Pan, Daniel W Woods +1

Online video games have become major online social spaces where users interact, compete, and create together. These spaces, however, expose users to a wide spectrum of online harms…

cs.HC20261 cited

Characterizing Scam-Driven Human Trafficking Across Chinese Borders and Online Community Responses on RedNote

Jiamin Zheng, Yue Deng, Jessica Chen +3

A new form of human trafficking has emerged across Chinese borders, where individuals are lured to Southeast Asia with fraudulent job offers and then coerced into operating online…

cs.CL2025

Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysis

Jiashu Ye, Tong Wu, Weiwen Chen +11

Improving air quality and addressing climate change relies on accurate understanding and analysis of air pollutant and greenhouse gas emissions. However, emission-related knowledge…

cs.CR2025

Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development

Zhen Tao, Shidong Pan, Zhenchang Xing +5

Privacy regulations mandate that developers must provide authentic and comprehensive privacy notices, e.g., privacy policies or labels, to inform users of their apps' privacy pract…

cs.HC2025

"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications

Jack West, Bengisu Cagiltay, Shirley Zhang +3

Machine learning models deployed locally on social media applications are used for features, such as face filters which read faces in-real time, and they expose sensitive attribute…

eess.SP2024

Reliable Heading Tracking for Pedestrian Road Crossing Prediction Using Commodity Devices

Yucheng Yang, Jingjie Li, Kassem Fawaz

Pedestrian heading tracking enables applications in pedestrian navigation, traffic safety, and accessibility. Previous works, using inertial sensor fusion or machine learning, are…