Jinze Zhao

M.S. student
University of Texas at Austin

I’m a graduate student pursuing M.S. in Electrical and Computer Engineering at the University of Texas at Austin. Previously, I received B.S. in Electrical and Computer Engineering (with Honors) and B.S. in Mathematics from UT Austin.

My research focuses on Machine Learning, especially understanding the theoretical foundations and improving the generalization of models, such as diffusion models and mixture-of-experts models.

Publications

Conference on Parsimony and Learning (CPAL) 2025

Meta ControlNet: Enhancing Task Adaptation via Meta Learning

Junjie Yang*, Jinze Zhao*, Peihao Wang, Zhangyang Wang, Yingbin Liang

NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward 2024

Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks

Jinze Zhao*

Under Review 2024

HarmonyDreamer: Rectifying and Hamonizing Dynamic Objects in Backgrounds for 4D Video Generation

Yan Zheng, Jinze Zhao, Dejia Xu, Peihao Wang, Lemeng Wu, Jianan Shi, Zonglin Di, Zhangyang Wang

ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models 2024

Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study

Jinze Zhao*, Peihao Wang, Zhangyang Wang

arXiv preprint 2023

CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images

Jinze Zhao*