Scholar
Daiqing Qi
Google Scholar ID: FIa-pykAAAAJ
University of Virginia
Citations & Impact
Citations
372
H-index
6
i10-index
6
Publications
16
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Published papers in NeurIPS 2025, CVPR 2025, NeurIPS 2024, ECCV 2024, EMNLP 2024, TMLR 2024, ICLR 2023, etc.
- - Organized workshops: The Second Workshop on Generative AI for Photography (CVPR 2026), The First Workshop on Generative AI for Photography (WACV 2026), The First Workshop on Large Foundation Models for Educational Assessment (NeurIPS 2024)
- - Surveys and tutorials: Preprint 2025 on Video-LMM Post-Training, Preprint 2025 on Spurious Correlations in Machine Learning, TKDD 2024 on Trustworthy Representation Learning across Domains
- - Service: Organizer/Program Chair for WACV 2026 Workshop on Generative AI for Photography, NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment, Reviewer/PC Member for multiple top conferences
- - Awards: NeurIPS 2025 Scholar Award, ICLR 2025 Notable Reviewer
Research Experience
- - Research Scientist Intern at Adobe Research, San Jose, CA, May 2025 - Nov 2025
- - Applied Scientist Intern at Amazon, Palo Alto, CA, May 2023 - Aug 2023
Education
- Ph.D. Candidate, University of Virginia, School of Data Science, Advisor: Dr. Sheng Li
Background
- Currently a PhD student at the University of Virginia, advised by Dr. Sheng Li. Works on post-training for Multimodal Large Language Models and Vision-Language Models.
Miscellany
- Seeking full-time industry opportunities
Co-authors