Zhiyuan Wang

According to our database, Zhiyuan Wang authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CALLM: Context-Aware Emotion Analysis in Cancer Survivors Using LLMs and Retrieval-Augmented Mobile Diaries.

Zhiyuan Wang, Katharine E. Daniel, Laura E. Barnes, Philip I. Chow

CoRR, March, 2025

Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators.

Maria A. Larrazabal, Zhiyuan Wang, Mark Rucker, Emma R. Toner, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

Proceedings of the IEEE International Conference on Smart Computing, 2025

2024

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

Zhiyuan Wang, Nusayer Hassan, Virginia LeBaron, Tabor Flickinger, David Ling, James Edwards, Congyu Wu, Mehdi Boukhechba, Laura E. Barnes

Proc. ACM Hum. Comput. Interact., 2024

PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models.

Zhiyuan Wang, Fangxu Yuan, Virginia LeBaron, Tabor Flickinger, Laura E. Barnes

CoRR, 2024

Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.

Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes

CoRR, 2024

A Resource Efficient System for On-Smartwatch Audio Processing.

Md. Sabbir Ahmed, Arafat Rahman, Zhiyuan Wang, Mark Rucker, Laura E. Barnes

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models.

Zhiyuan Wang, Varun Reddy, Karen Ingersoll, Tabor Flickinger, Laura E. Barnes

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech.

Varun Reddy, Zhiyuan Wang, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction, 2024

2023

$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing.

Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou

IEEE Trans. Mob. Comput., September, 2023

Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.

Zhiyuan Wang, Maria A. Larrazabal, Mark Rucker, Emma R. Toner, Katharine E. Daniel, Shashwat Kumar, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

CrowdQ: Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models.

Tieqi Shou, Zhuohan Ye, Yayao Hong, Zhiyuan Wang, Hang Zhu, Zhihan Jiang, Dingqi Yang, Binbin Zhou, Cheng Wang, Longbiao Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

RedPacketBike: A Graph-Based Demand Modeling and Crowd-Driven Station Rebalancing Framework for Bike Sharing Systems.

Hang Zhu, Tieqi Shou, Ruiying Guo, Zhihan Jiang, Zeyu Wang, Zhiyuan Wang, Zhiyong Yu, Weijie Zhang, Cheng Wang, Longbiao Chen

IEEE Trans. Mob. Comput., July, 2023

Graph Neural Networks in IoT: A Survey.

Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba

ACM Trans. Sens. Networks, May, 2023

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts.

Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Elizabeth Thompson, Haroon Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

CoRR, 2023

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.

Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis.

Zhiyuan Wang, Mark Rucker, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022

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

Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou

IEEE Internet Things J., 2022

PANDA: predicting road risks after natural disasters leveraging heterogeneous urban data.

Jianyi You, Auwal Sagir Muhammad, Xin He, Tianqi Xie, Zhiyuan Wang, Xiaoliang Fan, Zhiyong Yu, Longbiao Chen, Cheng Wang

CCF Trans. Pervasive Comput. Interact., 2022

Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data.

Tieqi Shou, Zhiyuan Wang, Shang Shi, Dingqi Yang, Binbin Zhou, Cheng Wang, Longbiao Chen

Proceedings of the IEEE Smartworld, 2022

2021

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

Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang

CoRR, 2021

2020

Demand-Responsive Windows Scheduling in Tertiary Hospital Leveraging Spatiotemporal Neural Networks.

Zhiyuan Wang, Ruiying Guo, Linghong Hong, Cheng Wang, Longbiao Chen

Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020