I’m a 1st year PhD student in Computer Science at Simon Fraser University, fortunate to be supervised by Dr. Linyi Li in the Trustworthy AI (TAI) Lab.
My primary research interest lies in the theoretical foundations of model structure, interpretability, learning algorithms, and reinforcement learning. At the same time, I care about socially responsible AI in practice, with applications in red teaming, safety, and AI governance.
🔥 News
- 2025.06: 🎉🎉 Participated in a hackathon with developers from my team at SAP about AI model governance.
📝 Publications
AutoRed: Automated Attack Scenario Generation Framework for Red Teaming of LLMs
Zhe Wang, M. A. Tayebi
IEEE BigData 2024
We present AutoRed, a red-teaming framework that proactively generates adversarial prompts to challenge LLMs’ refusal strategies and safety alignment.
Zhe Wang, M. A. Tayebi
IEEE BigData 2024
We present AutoRed, a red-teaming framework that proactively generates adversarial prompts to challenge LLMs’ refusal strategies and safety alignment.
📖 Educations
- 2025.09 - 2029.08 (expected), Ph.D., Computer Science at Simon Fraser University
- 2022.09 - 2024.05, M.Sc., Computer Science at Simon Fraser University
- 2018.09 - 2022.07, B.Sc., Mathematics and Applied Mathematics at The Chinese University of Hong Kong, Shenzhen
💬 Invited Talks
- 2025.06, The Art of LLM Evaluation, AI Lunch and Learn at SAP Canada, Vancouver office.
💻 Internships
- 2024.09 - 2025.09, Data Science Intern, SAP, Canada.
- 2023.07 - 2023.09, Machine Learning Researcher Intern, Hanglok-Tech, China