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.

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.

Selected Publications

FlowBank overview figure
Preprint 2026

FlowBank: Query-Adaptive Agentic Workflows Optimization through Precompute-and-Reuse

Lingzhi Yuan, Chenghao Deng, Fangxu Yu, Souradip Chakraborty, Mohammad Rostami, Furong Huang
Paper Project
TSRBench overview figure
ICML 2026

TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models

Fangxu Yu, Xingang Guo, Lingzhi Yuan, Haoqiang Kang, Hongyu Zhao, Lianhui Qin, Furong Huang, Bin Hu, Tianyi Zhou
Paper Project
PromptGuard overview figure
IEEE TIFS

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models

Lingzhi Yuan, Xinfeng Li, Chejian Xu, Guanhong Tao, Xiaojun Jia, Yihao Huang, Wei Dong, Yang Liu, Bo Li
Paper Project
MMDT overview figure
ICLR 2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models

Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Zhuowen Yuan, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, et al., Dawn Song, Bo Li
Paper Project