Yuxuan Zhu

yxx404@g.illinois.edu

I am a first-year Ph.D. student at UIUC advised by Prof. Daniel Kang. My research focuses on the intersection of machine learning and data systems, enabling efficient approximate query processing over unstructured data. I also work closely with Fan Lai.

Before that, I was an undergraduate at the University of Michigan. I worked with Prof. Mosharaf Chowdhury on federated learning and Prof. Xinyu Wang on the optimization and testing of SQL queries.

Education

Publication

• Accelerate Aggregation Queries with JOINs over Unstructured Data (In submission)

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• FedTrans: Efficient Federated Learning via Multi-Model Transformation
Yuxuan Zhu, Jiachen Liu, Fan Lai, Mosharaf Chowdhury
To appear in MLSys 2024

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• SlabCity: Whole-Query Optimization using Program Synthesis
Rui Dong, Jie Liu, Yuxuan Zhu, Cong Yan, Barzan Mozafari, Xinyu Wang
VLDB 2023

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• An Energy-efficient Computing Offloading Framework for Blockchain-enaled Video Streaming Systems
Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding
GlobeCom 2022

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• Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach
Shijing Yuan, Jie Li, Jinghao Liang, Yuxuan Zhu, Xiang Yu, Jianping Chen, Chentao Wu
GlobeCom 2021