Guanyu Hou
Trustworthy AI · AI Safety & Security
Hello, I’m Guanyu Hou. I am an MSc in Artificial Intelligence student at The University of Manchester. My research focuses on AI safety and security, with an emphasis on trustworthy large language models and multimodal systems.
I study the robustness of audio language models, safety evaluation of text-to-video models, backdoor vulnerabilities, and privacy in retrieval-augmented generation. My work has appeared at venues including CVPR, EMNLP, AAAI, ACM Multimedia Asia, ICASSP, and ICME.
I am interested in PhD opportunities in AI safety and security.
Publications · CV · Google Scholar · Email
Internship Experience
- Shanghai Artificial Intelligence Laboratory (PJLab) — Research Intern, Sep 2026–Present. Working with Dr. Lijun Li on AI4Science safety.
- ByteDance — Algorithm Intern (Intelligent Security), Jul–Sep 2026. Worked on multilingual safety classifiers, long-reasoning optimization, and jailbreak defense.
See my CV for details.
Academic Service
- AAAI 2027 — Program Committee Member
- NeurIPS 2026 — Reviewer
- AAAI 2026 — Reviewer