Ang Qi

Applied & Computational Mathematics · University of Southern California

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I’m Ang Qi, an undergraduate at the University of Southern California majoring in Applied and Computational Mathematics with a minor in Computer Science. I expect to graduate in May 2027.

I am a research assistant in USC’s Physical Superintelligence Lab, where I work on the robustness and reliability of vision-language models. My work focuses on understanding model failures, building multimodal data and evaluation pipelines, and investigating targeted model repair through post-training and parameter-efficient fine-tuning.

My research spans visual reasoning tasks such as object recognition, attributes, spatial relationships, counting, and negation. I am interested in how models generalize after targeted repair and how we can make their behavior more reliable.

Explore my research, publications, and CV.

selected publications

  1. lrm.jpg
    Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
    Yanru Wu, Weiduo Yuan, Ang Qi, and 3 more authors
    In IROS 2026 AI Meets Autonomy Workshop, 2026
  2. fuzzingrl.png
    FuzzingRL: Reinforcement Fuzz-Testing for Revealing VLM Failures
    Jiajun Xu, Jiageng Mao, Ang Qi, and 5 more authors
    2026
    Under Review