34 citations · 45 across the 5 of their papers we have counts for
5 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…
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts
Emma R. Toner, Mark Rucker, Zhiyuan Wang +8
Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety d…
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…
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation
Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai +3
Delivering treatment recommendations via pervasive electronic devices such as mobile phones has the potential to be a viable and scalable treatment medium for long-term health beha…
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data
Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba +5
Negative affect is a proxy for mental health in adults. By being able to predict participants' negative affect states unobtrusively, researchers and clinicians will be better posit…