6 papers
SpecDB: LLM-Generated Customized Databases via Feature-Oriented Decomposition
Yunkai Lou, Longbin Lai, Shunyang Li +2
Mainstream relational databases ship a uniform feature set across deployments, although individual workloads exercise only a fraction of the available subsystems. We investigate wh…
A Hypergraph-Based Framework for Exploratory Business Intelligence
Yunkai Lou, Shunyang Li, Longbin Lai +3
Business Intelligence (BI) analysis is evolving towards Exploratory BI, an iterative, multi-round exploration paradigm where analysts progressively refine their understanding. Howe…
A Graph-native Optimization Framework for Complex Graph Queries
Bingqing Lyu, Xiaoli Zhou, Longbin Lai +4
This technical report extends the SIGMOD 2025 paper "A Modular Graph-Native Query Optimization Framework" by providing a comprehensive exposition of GOpt's advanced technical mecha…
Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data
Longbin Lai, Changwei Luo, Yunkai Lou +2
Large Language Models (LLMs) have recently demonstrated remarkable performance in tasks such as Retrieval-Augmented Generation (RAG) and autonomous AI agent workflows. Yet, when fa…
A Modular Graph-Native Query Optimization Framework
Bingqing Lyu, Xiaoli Zhou, Longbin Lai +4
Complex Graph Patterns (CGPs), which combine pattern matching with relational operations, are widely used in real-world applications. Existing systems rely on monolithic architectu…
Towards a Converged Relational-Graph Optimization Framework
Yunkai Lou, Longbin Lai, Bingqing Lyu +5
The recent ISO SQL:2023 standard adopts SQL/PGQ (Property Graph Queries), facilitating graph-like querying within relational databases. This advancement, however, underscores a sig…