3 citations · 3 across the 4 of their papers we have counts for
6 papers
PROBE: Learned Proxy-Based Execution for Highly Selective Multimodal Semantic Queries
Haikai Zhao, Haisheng Fu, Zhengjie Miao +1
Large language models (LLMs) enable semantic queries over unstructured data, but invoking an LLM on every row is prohibitively expensive. Proxy-based execution can reduce this ple…
Benchmarking the Full Pipeline of Materialized-View-Based Query Rewriting
Xinjie Hu, Zhengjie Miao
Materialized views (MVs) accelerate OLAP and data-warehouse workloads by precomputing reusable subexpressions, but practical MV-based query acceleration is a multi-stage pipeline:…
SPA: A SQL-Plan-Aware Reinforcement Learning Framework for Query Rewriting with LLMs
Xinyi Huang, Zhengjie Miao
SQL query rewriting is a well-established technique for improving database performance without schema or index changes, yet finding effective rewrites for modern analytical workloa…
The Case for Text-to-SQL Friendly Logical Database Design
Shi Heng Zhang, Zhengjie Miao, Jiannan Wang
Logical database design has traditionally optimized database schemas, including tables, columns, keys, constraints, and views, for correctness, integrity, and human-written applica…
LINEAGEX: A Column Lineage Extraction System for SQL
Shi Heng Zhang, Zhengjie Miao, Jiannan Wang
As enterprise data grows in size and complexity, column-level data lineage, which records the creation, transformation, and reference of each column in the warehouse, has been the…
CleanAgent: Automating Data Standardization with LLM-based Agents
Danrui Qi, Zhengjie Miao, Jiannan Wang
Data standardization is a crucial part of the data science life cycle. While tools like Pandas offer robust functionalities, their complexity and the manual effort required for cus…