5 papers
TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health
Yuang Fan, Lilin Xu, Millie Wu +8
Longitudinal passive sensing enables continuous health prediction, yet models often fail under cross-dataset distribution shifts. Traditional ML overfits cohort-specific artifacts,…
ProAssist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Perception for Long-horizon Procedural Tasks
Lilin Xu, Bufang Yang, Siyang Jiang +6
Procedural tasks with multiple ordered steps are ubiquitous in daily life. Recent advances in multimodal large language models (MLLMs) have enabled personal assistants that support…
MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System
Mengyuan Millie Wu, Zhihan Jiang, Yuang Fan +9
Mindfulness meditation is a widely accessible and evidence-based method for supporting mental health. Despite the proliferation of mindfulness meditation apps, sustaining user enga…
ReSPEC: A Framework for Online Multispectral Sensor Reconfiguration in Dynamic Environments
Yanchen Liu, Yuang Fan, Minghui Zhao +1
Multi-sensor fusion is central to robust robotic perception, yet most existing systems operate under static sensor configurations, collecting all modalities at fixed rates and fide…
TDBench: A Benchmark for Top-Down Image Understanding with Reliability Analysis of Vision-Language Models
Kaiyuan Hou, Minghui Zhao, Lilin Xu +2
Top-down images play an important role in safety-critical settings such as autonomous navigation and aerial surveillance, where they provide holistic spatial information that front…