Linyi Li
Scholar

Linyi Li

Google Scholar ID: -b0sk-YAAAAJ
Simon Fraser University
Certified Machine LearningLarge Language Model AlignmentComputer Security
Citations & Impact
All-time
Citations
1,323
 
H-index
19
 
i10-index
28
 
Publications
20
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Published 30+ papers at top-tier venues including ICML, NeurIPS, ICLR, IEEE S&P, and ACM CCS
  • Recipient of Rising Stars in Data Science (University of Chicago DSI)
  • AdvML Rising Star Award (2022)
  • Wing Kai Cheng Fellowship awardee
  • Co-led Team α,β-CROWN to 4th place in VNN-COMP'23 (4th International Verification of Neural Networks Competition)
  • Finalist for 2022 Qualcomm Innovation Fellowship
  • Finalist for 2022 Two Sigma PhD Fellowship
  • RANUM framework for numerical reliability of DNNs accepted to ICSE 2023
  • InfiBench benchmark for code LLMs accepted to NeurIPS 2024
  • Serving as Area Chair for NeurIPS 2025, ICLR 2026, and ICML 2025
  • Awarded NSERC Discovery Grant with Launch Supplement
Background
  • Assistant Professor at the School of Computing Science, Simon Fraser University (SFU)
  • Principal Investigator of the Trustworthy AI (TAI) Lab at SFU
  • Research focuses on trustworthy deep learning, particularly certifiably trustworthy deep learning and trustworthy foundation models
  • Work spans machine learning and computer security
  • Aims to enable certifiable and verifiable trustworthiness guarantees (e.g., robustness, fairness, numerical reliability) for large-scale deep learning systems
  • Studies root causes of trustworthiness issues in deep learning and foundation models
  • Advocates for scientific and comprehensive evaluation of foundation models