Scholar
Peiqi Wang
Google Scholar ID: j6hDs9cAAAAJ
MIT
Citations & Impact
Citations
407
H-index
5
i10-index
4
Publications
13
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Inference Compute-Optimal Video Vision Language Models, ACL 2025
- Calibrating Expressions of Certainty, ICLR 2025
- Diversity Measurement and Subset Selection for Instruction Tuning Datasets, ICLR 2025 DATA-FM Workshop
- Sample-Specific Debiasing for Better Image-Text Models, MLHC 2023
- Using Multiple Instance Learning to Build Multimodal Representations, IPMI 2023
- Image Classification with Consistent Supporting Evidence, ML4H 2021
Research Experience
- Interned at Deep Genomics, MIT-IBM Watson AI Lab, and Meta.
Education
- Ph.D. from MIT CSAIL, advised by Polina Golland in the Medical Vision Group; B.S. in Computer Science from the University of Toronto, worked on several projects with Kyros Kutulakos and Kenneth Jackson.
Background
- Research interests include medical imaging, machine learning for healthcare, and, more recently, large language models.
Miscellany
- Photo taken by Ruizhi Liao.
