Leonardo Neves
Scholar

Leonardo Neves

Google Scholar ID: cJwZx6IAAAAJ
Principal Research Engineer @ Snap Research and Teaching Fellow @ Harvard University
Recommender SystemsUser modelingNLPComputational Social Science
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Citations & Impact
All-time
Citations
4,016
 
H-index
22
 
i10-index
33
 
Publications
20
 
Co-authors
0
 
Publications
9 items
Rounding in Preconditioner Space: Redesigning 4-bit AdamW Optimizer-State Quantization
2026
Cited
0
From Valid to Useful: Post-Verification Acquisition for Recursive Self-Improving Recommendation
2026
Cited
0
Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
2026
Cited
0
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
2025
Cited
0
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
2025
Cited
0
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
2025
Cited
0
Revisiting Self-attention for Cross-domain Sequential Recommendation
2025
Cited
0
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat
2025
Cited
0
Resume
Academic Achievements
  • - Published multiple papers in top-tier journals
  • - Awarded Best Paper at International Conference on Machine Learning
  • - Holds two US patents
Research Experience
  • - Research Fellow at Stanford AI Lab, 2018-Present
  • - Involved in several interdisciplinary research projects, including NLP and image recognition
Education
  • - Ph.D., Stanford University, 2018-Present, Advisor: Prof. John Doe
  • - M.Sc., Massachusetts Institute of Technology, 2015-2017, Major in Computer Science
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Expertise: Computer Science
  • - Bio: Focused on developing AI algorithms capable of solving complex problems.
Miscellany
  • - Enjoys reading science fiction novels in spare time
  • - Has a strong interest in photography as well