Scholar
Martin Q. Ma
Google Scholar ID: TFCtuaQAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
736
H-index
11
i10-index
11
Publications
16
Co-authors
7
list available
Contact
Publications
Resume (English only)
Academic Achievements
- His works have been published in NeurIPS, CVPR, ICLR, EMNLP, and were awarded a highlight in CVPR and an oral in NeurIPS Science meets Engineering of Deep Learning workshop.
Research Experience
- Visiting researcher at Meta Fundamental AI Research (FAIR) team, collaborating with Paul Liang, Kun Zhang, and Yao-Hung Hubert Tsai.
Education
- Graduated from Brandeis University with a degree in mathematics and computer science; currently a Ph.D. student at the Language Technology Institute, School of Computer Science, Carnegie Mellon University, advised by Louis-Philippe Morency and Ruslan Salakhutdinov.
Background
- Ph.D. student in the School of Computer Science at Carnegie Mellon University. His research focuses on developing new self-supervised learning methods based on neuroscience insights, understanding self-supervised learning with theoretical frameworks, and designing self-supervised algorithms for multimodal tasks.
