23 citations · 25 across the 4 of their papers we have counts for
4 papers
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…
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline
Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal +6
Individuals high in social anxiety symptoms often exhibit elevated state anxiety in social situations. Research has shown it is possible to detect state anxiety by leveraging digit…
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…
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang, Carl Yang, Pan Li
Graph neural networks (GNNs) have drawn significant research attention recently, mostly under the setting of semi-supervised learning. When task-agnostic representations are prefer…