activity
20172023
most citedMental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

215 citations · 465 across the 8 of their papers we have counts for

collaborators

12 papers

cs.HC2023★ 73 cited

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

Kate S Glazko, Momona Yamagami, Aashaka Desai +4

With the recent rapid rise in Generative Artificial Intelligence (GAI) tools, it is imperative that we understand their impact on people with disabilities, both positive and negati…

cs.HC2023★ 8 cited

A Framework for Designing Fair Ubiquitous Computing Systems

Han Zhang, Leijie Wang, Yilun Sheng +3

Over the past few decades, ubiquitous sensors and systems have been an integral part of humans' everyday life. They augment human capabilities and provide personalized experiences…

cs.CL2023★ 215 cited

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

Xuhai Xu, Bingsheng Yao, Yuanzhe Dong +6

Advances in large language models (LLMs) have empowered a variety of applications. However, there is still a significant gap in research when it comes to understanding and enhancin…

cs.HC2023★ 74 cited

XAIR: A Framework of Explainable AI in Augmented Reality

Xuhai Xu, Mengjie Yu, Tanya R. Jonker +15

Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the rol…

cs.HC2023

Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images

Yuntao Wang, Zirui Cheng, Xin Yi +7

A computer vision system using low-resolution image sensors can provide intelligent services (e.g., activity recognition) but preserve unnecessary visual privacy information from t…

cs.LG2022★ 14 cited

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Xuhai Xu, Han Zhang, Yasaman Sefidgar +13

Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehe…