<aside> <img src="/icons/mail_gray.svg" alt="/icons/mail_gray.svg" width="40px" /> Email
</aside>
<aside> <img src="attachment:17193413-2644-49f5-828d-73596aac8679:linkedin.webp" alt="attachment:17193413-2644-49f5-828d-73596aac8679:linkedin.webp" width="40px" />
</aside>
<aside> <img src="notion://custom_emoji/9f1457bf-737f-43b6-aaee-36f6a3e10c2b/1e2eb5b4-7e8f-8059-ae48-007aa291d6a6" alt="notion://custom_emoji/9f1457bf-737f-43b6-aaee-36f6a3e10c2b/1e2eb5b4-7e8f-8059-ae48-007aa291d6a6" width="40px" />
</aside>
<aside> <img src="attachment:27911549-87ab-4f03-9f21-f661dba7be2f:github.webp" alt="attachment:27911549-87ab-4f03-9f21-f661dba7be2f:github.webp" width="40px" />
</aside>
I am currently a first-year PhD student in Machine Learning at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), where I am fortunate to be supervised by Dr. Samuel Horvath. Prior to this, I completed my MS in Machine Learning at MBZUAI. Earlier, I received my Bachelor's degree in Mathematics and Applied Mathematics from Sichuan University.
I am broadly interested in learning, understanding, and creating. My current research focuses primarily on deep learning, including but not limited to model merging, efficient deep learning (e.g., model pruning, sparsity), and the science of deep learning. I’m also interested in mathematics and AI4Math.
I’m always interested in learning about or joining meaningful/exciting frontier projects.
(*: equal contribution)
Vanishing Feature: Diagnosing Model Merging and Beyond
Xingyu Qu, Samuel Horvath.
CPAL 2025 (Oral).
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
Xingyu Qu*, Diyang Li*, Xiaohan Zhao, Bin Gu.
NeurIPS 2022 (Spotlight).