Ningsen Wang

About

Long-form context on my background, research direction, and current trajectory.

I am a computer science undergraduate at Fudan University working at the intersection of multimodal learning and medical AI. My current focus is building data-centric pipelines for medical visual question answering and improving reliability in long-chain reasoning.

As a research intern at UCSC VLAA, I work with Prof. Yuyin Zhou and collaborators on reproducible methods for clinically useful AI systems. I care deeply about open research artifacts, careful evaluation, and practical impact.

Timeline

  1. 2026.01

    MedVLSynther accepted to ICLR 2026.
  2. 2025.10

    Released MedVLSynther preprint on multimodal verifiable QA synthesis.
  3. 2025.07

    Joined UCSC VLAA as a research intern (remote).

Collaborations and Community

I am open to collaborations in multimodal medical AI, reproducible research workflows, and clinically grounded evaluation.