About me

I am a second-year Master’s student in Computer Science at UC San Diego.

My research interests lie in Machine Learning, IoT (Internet of Things), LLM (Large Language Model), Systems for AI, and edge computing. I aim to build multi-modal and general AI systems that can assist people across all aspects of daily life. I am currently developing an efficient edge LLM agent system that retrieves and reasons over database and sensor data to answer natural-language queries in SeeLab, advised by Prof.Tajana Šimunić Rosing and Ye Tian.

Publications

  1. Ye Tian*, Zihao Wang*, Onat Gungor, Xiaoran Fan, Tajana Rosing.
    MultiLifeQA: A Multi-Domain Health Reasoning Benchmark.
    International Conference on Learning Representations (ICLR), 2026. (under review)
    Project CodePaper PDF
    *Co-first.

  2. Ye Tian, Xiaoyuan Ren, Zihao Wang, Onat Gungor, Xiaofan Yu, Tajana Rosing.
    DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs.
    22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2025. Project WebsitePaper PDF