Qianqi Yan
Scholar

Qianqi Yan

Google Scholar ID: MYrX5ooAAAAJ
University of California, Santa Cruz
Vision-Language modelsAI for healthcareEmbodied AI
Citations & Impact
All-time
Citations
55
 
H-index
4
 
i10-index
2
 
Publications
5
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Published 'Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs' in EMNLP 2025 Main
  • Published 'Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models' in ACL 2025 Findings
  • Published 'Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA' in ACL 2025 Findings
  • Published 'Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA' in ACL 2024
  • Published 'Med-HVL: Automatic Medical Domain Hallucination Evaluation for Large Vision-Language Models' in AAAI 2024 Spring Symposium on Clinical Foundation Models
  • Will be hosting the 4th ALVR workshop at ACL 2026
  • One paper accepted to EMNLP 2025, attending EMNLP 2025 in Suzhou, China
  • Joining Oracle Health AI as a research intern in the 2025 summer
  • Attending Neurips 2024 and presenting at the GenAI4Health Workshop
  • Joining eBay as a research intern in the 2024 summer
Education
  • 2025 - present: Ph.D. in Computer Science, University of California, Santa Barbara, Advisor: Prof. Xin (Eric) Wang
  • 2023 - 2025: Ph.D. in Computer Science, University of California, Santa Cruz
  • 2021 - 2023: B.S.E. in Computer Science, University of Michigan (Ann Arbor)
  • 2019 - 2023: B.S.E. in Electrical and Computer Engineering, Shanghai Jiao Tong University
  • 2020: Visiting Student, Technische Universität Berlin
Background
  • Research interests: multimodal large language models, trustworthy AI models, and AI for healthcare. Currently a CSE Ph.D. student at the University of California, Santa Barbara, under the supervision of Prof. Xin (Eric) Wang.
Miscellany
  • Personal interests not mentioned