All Stories

  1. Multi-Task Mental Health Detection with Large Language Models under Class Imbalance
  2. NarrativeSense: Predicting Affective States in University Students through Smartphone Sensing and Contextual Narratives
  3. Behavioral Indicators of Loneliness: Predicting University Students' Loneliness Scores from Smartphone Sensing Data
  4. From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations
  5. WellComp 2025: Eighth International Workshop on Computing and Software Systems for Well-Being
  6. AutoJournaling: A Context-Aware Journaling System Leveraging MLLMs on Smartphone Screenshots
  7. Efficient and Personalized Mobile Health Event Prediction via Small Language Models
  8. StatioCL : Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
  9. Enabling On-Device LLMs Personalization with Smartphone Sensing
  10. ScreenTK: Seamless Detection of Time-Killing Moments Using Continuous Mobile Screen Text and On-Device LLMs
  11. Leveraging LLMs to Predict Affective States via Smartphone Sensor Features
  12. Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health
  13. LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
  14. Iris
  15. Ubiquitous, Secure, and Efficient Mobile Sensing Systems
  16. Spectral-Loc
  17. Passive light spectral indoor localization
  18. PROS
  19. Indoor localization using light spectral information