I am Yunjia Zhang, a Ph.D. candidate majoring in Computer Sciences at Department of Computer Sciences, University of Wisconsin-Madison (Madison, WI, US). Currently, I am in Database Group, under the supervision of Prof. Theodoros (Theo) Rekatsinas (currently at Apple) and Prof. Jignesh M. Patel (currently at CMU). I am also in strong collaboration with Microsoft GSL, and my mentor at GSL is Avrilia Floratou. I got my B.Eng in Computer Science at School of Computer Science, Wuhan University.

I have a broad interest in many topics in databases, especifically AI4DB. I am devoted to improving the data scientists’ pipeline, providing them with easier-to-use and faster-to-execute analytic tools. I am currently focusing on LLMs for databases and efficient query processing.

Office: 4360 @ CS Dept., 1201 W Dayton St, Madison, WI, United States, 53715

Email: yunjia [AT] cs.wisc.edu

Selected Publications

ReAcTable: Enhancing ReAct for Table Question Answering [pdf]
Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
VLDB 2024

A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Yuanchun Zhou, Mingjie Tang, Jianguo Wang
SIGMOD 2024 Demo

GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization [pdf]
Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang
VLDB 2024

Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis [pdf] [code]
Yunjia Zhang, Yannis Chronis, Jignesh M. Patel, Theodoros Rekatsinas
VLDB 2023

Schema Matching using Pre-Trained Language Models [pdf]
Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas Mueller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel
ICDE 2023

Can Transfer Learning be Used to Build Query Optimizers [talk]
Yunjia Zhang, Yannis Chronis, Jignesh M. Patel, Theodoros Rekatsinas
CIDR 2022

A Statistical Perspective on Discovering Functional Dependencies in Noisy Data [pdf] [code]
Yunjia Zhang, Zhihan Guo, Theodoros Rekatsinas
SIGMOD 2020

Statistical Estimation of Diffusion Network Topologies [pdf] [slides]
Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, Yunjun Gao
ICDE 2020

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