1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective
Weijie Xu, Yiwen Wang, Chi Xue +4
Large Language Models (LLMs) often generate responses with inherent biases, undermining their reliability in real-world applications. Existing evaluation methods often overlook bia…
cs.LG2023
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing
Guimin Dong, Lihua Cai, Mingyue Tang +2
Mobile sensing appears as a promising solution for health inference problem (e.g., influenza-like symptom recognition) by leveraging diverse smart sensors to capture fine-grained i…
cs.LG2022★ 1 cited
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang +7
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily lives: healthcare, home, transportation, manufacturing, supply chain, and so on. With the…