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
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*