Linyi Li

Linyi Li is an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), leading the Trustworthy Artificial Intelligence (TAI) Lab. His research focuses on certifiably trustworthy deep learning systems, combining machine learning and computer security. He holds a PhD from the University of Illinois Urbana-Champaign (UIUC) and a B.Eng. from Tsinghua University.

• Affiliations: Simon Fraser University, TAI Lab
• Education:
  • PhD in Computer Science, UIUC, 2023
  • B.Eng (Cum Laude), Tsinghua University, 2018

His research interests include deep learning, trustworthy machine learning, large language models, and software engineering. He emphasizes rigorous certification of robustness, fairness, and numerical reliability in AI systems. Recent work includes the InfiBench benchmark for evaluating code LLMs and advancements in neural network verification.

Recent Research Trends: His publications span certified robustness, fairness guarantees, and scalable verification techniques for deep learning models. He also explores scientific evaluation of foundation models and adversarial defense mechanisms.

• Awards:
  • Rising Stars in Data Science
  • AdvML Rising Star Award
  • Wing Kai Cheng Fellowship
  • Finalist: Qualcomm Innovation Fellowship (2022)
  • Winner: VNN-COMP'23 Competition (Team α, β-CROWN)

Advising & Grants: As a PI, he oversees the TAI Lab's research. Though no specific grants are listed, his work is funded through competitive awards and university resources.

Labs/Teams: Leads the TAI Lab at SFU, focusing on foundational and applied research in trustworthy AI.