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20212025
most citedFrom Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

52 citations · 56 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data

Md Sabbir Ahmed, Noah French, Mark Rucker +6

Social anxiety is a common mental health condition linked to significant challenges in academic, social, and occupational functioning. A core feature is elevated momentary (state)…

cs.HC2025

Understanding State Social Anxiety in Virtual Social Interactions using Multimodal Wearable Sensing Indicators

Maria A. Larrazabal, Zhiyuan Wang, Mark Rucker +4

Mobile sensing is ubiquitous and offers opportunities to gain insight into state mental health functioning. Detecting state elevations in social anxiety would be especially useful…

cs.HC2024

AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech

Varun Reddy, Zhiyuan Wang, Emma Toner +4

During social interactions, understanding the intricacies of the context can be vital, particularly for socially anxious individuals. While previous research has found that the pre…

cs.HC2024★ 1 cited

CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions

Zhiyuan Wang, Nusayer Hassan, Virginia LeBaron +6

Quality patient-provider communication is critical to improve clinical care and patient outcomes. While progress has been made with communication skills training for clinicians, si…

cs.CY2023★ 2 cited

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…

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…

cs.LG2021★ 52 cited

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

Zhiyuan Wang, Haoyi Xiong, Jie Zhang +5

Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote h…