Xu, Xuhai

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

Xu, X., Yao, B., Dong, Y., Gabriel, S., Yu, H., Hendler, J., Ghassemi, M., Dey, A. K., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Mental Health via WritingTopic Modeling

Cited by 278

Towards a Science of Scaling Agent Systems

Kim, Y., Gu, K., Park, C., Park, C., Schmidgall, S., Heydari, A. A., Yan, Y., Zhang, Z., Zhuang, Y., Liu, Y., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 197

Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults

Yang, Z., Xu, X., Yao, B., Rogers, E., Zhang, S., Intille, S., Shara, N., Gao, G. G., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Technology Use by Older AdultsTelemedicine and Telehealth Implementation

Cited by 120

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis

Zhang, S., Yu, J., Xu, X., Yin, C., Lu, Y., Yao, B., Tory, M., Padilla, L. M., Caterino, J., Zhang, P., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 99

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

Xu, X., Liu, X., Zhang, H., Wang, W., Nepal, S., Sefidgar, Y., Seo, W., Kuehn, K. S., Huckins, J. F., Morris, M. E., et al. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 96

MDAgents: an adaptive collaboration of LLMs for medical decision-making

Kim, Y., Park, C., Jeong, H., Chan, Y., Xu, X., McDuff, D., Lee, H., Ghassemi, M., Breazeal, C., & Park, H. (2024) · Advances in Neural Information Processing Systems 37

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 81

An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility

Glazko, K. S., Yamagami, M., Desai, A., Mack, K. A., Potluri, V., Xu, X., & Mankoff, J. (2023) · The 25th International ACM SIGACCESS Conference on Computers and Accessibility

Digital Accessibility for DisabilitiesEthics and Social Impacts of AI

Cited by 80

From Text to Self: Users’ Perception of AIMC Tools on Interpersonal Communication and Self

Fu, Y., Foell, S., Xu, X., & Hiniker, A. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

AI in Service InteractionsInnovative Human-Technology Interaction

Cited by 62

Nightly sleep duration predicts grade point average in the first year of college

Creswell, J. D., Tumminia, M. J., Price, S., Sefidgar, Y., Cohen, S., Ren, Y., Brown, J., Dey, A. K., Dutcher, J. M., Villalba, D., et al. (2023) · Proceedings of the National Academy of Sciences

Sleep and related disordersSleep and Wakefulness Research

Cited by 53

Listen2Cough: Leveraging End-to-End Deep Learning Cough Detection Model to Enhance Lung Health Assessment Using Passively Sensed Audio

Xu, X., Nemati, E., Vatanparvar, K., Nathan, V., Ahmed, T., Rahman, M. M., McCaffrey, D., Kuang, J., & Gao, J. A. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Phonocardiography and Auscultation TechniquesRespiratory and Cough-Related Research

Cited by 38

Medical Hallucinations in Foundation Models and Their Impact on Healthcare

Kim, Y., Jeong, H., Chen, S., Li, S. S., Park, C., Lu, M., Alhamoud, K., Mun, J., Grau, C., Jung, M., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 33

Scaling Wearable Foundation Models

Narayanswamy, G., Liu, X., Ayush, K., Yang, Y., Xu, X., Liao, S., Garrison, J., Tailor, S., Sunshine, J., Liu, Y., et al. (2024) · arXiv

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 6

Human-inspired Perspectives: A Survey on AI Long-term Memory

He, Z., Lin, W., Zheng, H., Zhang, F., Jones, M. W., Aitchison, L., Xu, X., Liu, M., Kristensson, P. O., & Shen, J. (2024) · arXiv

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 3