activity
20032025
most citedElasTraS: An Elastic Transactional Data Store in the Cloud

163 citations · 488 across the 24 of their papers we have counts for

collaborators

28 papers

cs.DB2025

Access Paths for Efficient Ordering with Large Language Models

Fuheng Zhao, Jiayue Chen, Yiming Pan +7

In this work, we present the \texttt{LLM ORDER BY} semantic operator as a logical abstraction and conduct a systematic study of its physical implementations. First, we propose seve…

cs.DB2024

Hybrid Querying Over Relational Databases and Large Language Models

Fuheng Zhao, Divyakant Agrawal, Amr El Abbadi

Database queries traditionally operate under the closed-world assumption, providing no answers to questions that require information beyond the data stored in the database. Hybrid…

cs.DB2023★ 2 cited

LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?

Fuheng Zhao, Jiayue Chen, Lawrence Lim +3

Judging the equivalence between two SQL queries is a fundamental problem with many practical applications in data management and SQL generation (i.e., evaluating the quality of gen…

cs.DB2023

The SpaceSaving Family of Algorithms for Data Streams with Bounded Deletions

Fuheng Zhao, Divyakant Agrawal, Amr El Abbadi +3

In this paper, we present an advanced analysis of near optimal algorithms that use limited space to solve the frequency estimation, heavy hitters, frequent items, and top-k approxi…

cs.DB2023

Autumn: A Scalable Read Optimized LSM-tree based Key-Value Stores with Fast Point and Range Read Speed

Fuheng Zhao, Zach Miller, Leron Reznikov +2

The Log Structured Merge Trees (LSM-tree) based key-value stores are widely used in many storage systems to support a variety of operations such as updates, point reads, and range…

cs.DS2022★ 11 cited

Differentially Private Linear Sketches: Efficient Implementations and Applications

Fuheng Zhao, Dan Qiao, Rachel Redberg +3

Linear sketches have been widely adopted to process fast data streams, and they can be used to accurately answer frequency estimation, approximate top K items, and summarize data d…