activity
20122026
most citedMental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

215 citations · 360 across the 16 of their papers we have counts for

collaborators

17 papers

cs.AI2026

Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT

Marx Wang, Ella Zhang, Cameron Tan +11

Young people increasingly turn to General-Purpose Conversational Agents (GPCAs), such as ChatGPT, in moments of distress. We examine young adults' (ages 18-25) experiences using Ch…

cs.HC2026

PocketPPD: Screening for Postpartum Depression Risk Using Passive Smartphone Sensing

Jia Tang, Helinyi Peng, Akihito Taya +4

Postpartum depression (PPD) is a serious perinatal mental health condition affecting approximately 20% of new mothers worldwide. Common screening approaches for PPD, such as self-r…

cs.HC2025

Towards Human-Centered Early Prediction Models for Academic Performance in Real-World Contexts

Han Zhang, Yiyi Ren, Paula S. Nurius +2

Supporting student success requires collaboration among multiple stakeholders. Researchers have explored machine learning models for academic performance prediction; yet key challe…

cs.HC2024

Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing

Han Zhang, Vedant Das Swain, Leijie Wang +7

Behavioral sensing technologies are rapidly evolving across a range of well-being applications. Despite its potential, concerns about the responsible use of such technology are esc…

cs.HC2024★ 50 cited

Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention

Adiba Orzikulova, Han Xiao, Zhipeng Li +7

Despite a rich history of investigating smartphone overuse intervention techniques, AI-based just-in-time adaptive intervention (JITAI) methods for overuse reduction are lacking. W…

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…