Yiyang Li

Yiyang Li

PhD Student

University of Notre Dame

About

My name is Yiyang (Ian) Li, a second-year Ph.D. student in the Department of Computer Science and Engineering at the University of Notre Dame. My advisor is Prof. Yanfang (Fanny) Ye. Before joining Notre Dame, I received my B.E. degree in Artificial Intelligence from Northeastern University (China) in 2024.

My research focuses on agentic AI systems, with the goal of building agents that can reason, act, adapt, and collaborate effectively in complex, real-world environments. I am particularly interested in self-evolving agents and agent harnessing, including how agents can improve themselves over time and how they can be effectively guided, equipped, and deployed for knowledge-intensive tasks. For more details, please check my CV here.

News

2026-07

PreScam is accepted to COLM 2026. Congrats to Sweson!

2026-06

OPBench is selected for an oral presentation at KDD 2026 D&B. Congrats to Billy!

2026-04

N-MARS is accepted to ICML 2026. Congrats to Billy!

2026-01

LAMI is accepted to EACL 2026 Findings.

2025-10

We have released LLMs4ALL, an extensive survey on LLMs for research and applications in academic disciplines.

2025-05

NGQA is accepted to ACL 2025 main conference. Congrats to Jason!

Selected Publications

View All ->
Object-Centric Environment Modeling for Agentic Tasks

Object-Centric Environment Modeling for Agentic Tasks

Yiyang Li, Tianyi Ma, Zehong Wang, Yijun Ma, Yanfang Ye

Preprint 2026

EvoTaxo: Building and Evolving Taxonomy from Social Media Streams

EvoTaxo: Building and Evolving Taxonomy from Social Media Streams

Yiyang Li, Tianyi Ma, Yanfang Ye

Preprint 2026

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis

Yiyang Li, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

Preprint 2026

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use

Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

EACL Findings 2026

NGQA: a nutritional graph question answering benchmark for personalized health-aware nutritional reasoning

NGQA: a nutritional graph question answering benchmark for personalized health-aware nutritional reasoning

Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

ACL 2025

Teaching

Courses I have taught or assisted with.

Computer Security

2026 Spring

Teaching Assistant

UndergraduateCSE-40567

Introduction to Artificial Intelligence

2024 Fall

Teaching Assistant

UndergraduateCSE-30124