Hanwen Li

I am a second-year Ph.D. student in Informatics at the New Jersey Institute of Technology (NJIT), advised by Prof. Chenxi Yuan. My research focuses on trustworthy AI, especially uncertainty quantification and how it can make AI systems more reliable, as well as AI for healthcare.

I am very excited about potential collaboration opportunities! If you share similar research interests and find my work interesting, I warmly welcome you to contact me via email!

Email  /  Google Scholar  /  GitHub

Hanwen Li

News

[Sep 2026]Our paper UMAS is accepted to NeurIPS 2026.
[Jul 2026]Our paper SURE is published in npj Artificial Intelligence.

Research

I’m interested in trustworthy AI, uncertainty quantification, and AI for healthcare.

UMAS: System-Level Uncertainty Quantification for Multi-Agent LLM Systems
Hanwen Li, Jinhao Duan, Xiaoshuang Shi, Yue Zhang, Tianlong Chen, Kaidi Xu, Chenxi Yuan
Advances in Neural Information Processing Systems (NeurIPS), 2026
PDF / Code
SURE: Data-Efficient Safety Guardrailing via Internal Representations and Uncertainty-Weighted Pseudo-Labels
Hanwen Li, Jinhao Duan, Chenxi Yuan, James Diffenderfer, Sandeep Madireddy, Bhavya Kailkhura, Kaidi Xu
npj Artificial Intelligence, 2026
PDF / Code
From Uncertainty to Action: Learning to Steer LLM Agents
Hanwen Li, Jinhao Duan, Guanhua Zhu, Junchi Lu, Bo Shen, Chenxi Yuan, Kaidi Xu
arXiv preprint arXiv:2610.09115, 2026
PDF

Education