Scholar
Xi Victoria Lin
Google Scholar ID: gYUOJwMAAAAJ
Thinking Machines Lab
Citations & Impact
Citations
11,091
H-index
30
i10-index
41
Publications
20
Co-authors
167
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts' (ArXiv 2024), 'Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models' (TMLR 2025), and more.
Research Experience
- Previously worked at Meta SuperIntelligence Labs and Salesforce Research, currently a research scientist at Thinking Machines Lab.
Education
- PhD from the Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by Luke Zettlemoyer and Michael D. Ernst, focusing on code generation with neural networks.
Background
- Research scientist, passionate about building general intelligent systems that process information at scale and assist humans in various knowledge-intensive tasks.
