Lingzhi Yuan
Hi! I'm a Computer Science Ph.D. student at the University of Maryland, College Park, advised by Furong Huang.
My research spans three directions.
- Trustworthy Machine Learning. Aligning today's models and the agent systems they drive with human ethics, and making them run reliably in real-world environments.
- Self-evolving Agents. Designing mechanisms that let agents accumulate experience at deployment time, completing tasks better and at lower cost.
- Multi-agent Systems. Discovering collaboration patterns that let multiple relatively weak models jointly solve tasks a single strong model struggles with.
I obtained my B.Eng at Zhejiang University, majoring in Automation. I was also a research assistant at the Secure Learning Lab, University of Chicago, advised by Bo Li.
See my resume for more detail, or find the non-research side of me here 🧩.
Feel free to get in touch if any of this sounds interesting to you. lingzhiy@umd.edu (Click to copy)
News
2026/04 - TSRBench is accepted to ICML 2026.
2026/03 - PromptGuard is accepted to IEEE TIFS.
2025/08 - Started my Ph.D. at the University of Maryland, advised by Furong Huang!
2025/06 - I graduated from Zhejiang University 🎓
2025/01 - MMDT is accepted to ICLR 2025.
2024/03 - Became a research intern at the Secure Learning Lab, University of Chicago, supervised by Prof. Bo Li.