Zhaoning Yu [余兆宁]

Bio

大家好！Hi everyone! I am currently a 4th year Ph.D. student in Department of Computer Science at Iowa State University. My advisor is Dr.Hongyang Gao. Before arriving at the Iowa State University, I completed my master degree from Department of Computer Science at the George Washington Unversity in 2020. I obtained my Bachelor degree from Department of Computer Science at Wuhan University in 2018, supervised by Dr.Xiaoliang Meng.

My research generally centers around graph deep learning. More specifically, I am currently working on (1) Graph Neural Networks(GNNs). (2) Explainable GNNs. (3) LLM on graph understanding.

News

01/2025

Our paper MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation has been accepted to ICLR 2025.

05/2022

Our paper Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks has been accepted to ICML 2022.

12/2021

I am so proud to receive a Teaching Excellence Award

05/2021

I won a seed funding from the Department of Computer Science at Iowa State University

Publications

Complete list of publications on Google Scholar.

MAGE: Model-level graph neural networks explanations via motif-based graph generation

Zhaoning Yu, Hongyang Gao

International Conference on Learning Representations (ICLR), 2025

Paper

Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks

Zhaoning Yu, Hongyang Gao

Thirty-ninth International Conference on Machine Learning (ICML), 2022

Paper Code

Services

Program Committee Member & Reviewer & External Reviewer

International Conference on Machine Learning (ICML) 2024, 2025

International Conference on Learning Representations (ICLR) 2024, 2025, 2026

Neural Information Processing Systems (NeurIPS) 2023, 2024, 2025

Association for the Advancement of Artificial Intelligence (AAAI) 2025, 2026

Learning on Graphs Conference (LoG) 2022, 2023, 2024

Artificial Intelligence and Statistics (AISTATS) 2026

ACM International Conference on Information and Knowledge Management (CIKM) 2024, 2025

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022

Résumé

Iowa State University Jan '21 - present

Advisor: Dr.Hongyang Gao

Ph.D. Student
Computer Science
Google Aug '25 - Nov'25

Advisor: Xin Ma, John Holler

Ph.D. SWE Intern
Meta May '25 - Aug'25

Advisor: Will Su, Jing Xu

Ph.D. SWE Intern
Genentech May '24 - Aug'24

Advisor: Wenyi Wang

ML Intern
George Washington University Sep '18 - Jun '20

M.S. Student
Computer Science
Wuhan University Sep '14 - Jun '18

Advisor: Dr.Xiaoliang Meng

B.E. Student
Software Engineering