activity
20242026
most citedFIT-RAG: Black-Box RAG with Factual Information and Token Reduction

4 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2026

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…

cs.DB2026

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…

cs.AI2026

OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence

Peigen Liu, Rui Ding, Yuren Mao +7

Large Language Model (LLM)-based Collective Intelligence (CI) presents a promising approach to overcoming the data wall and continuously boosting the capabilities of LLM agents. Ho…

cs.CL2025

Large-Small Model Collaboration for Enhancing Edge-Deployed Small Models

Peigen Liu, Yijiang Fan, Zixuan Xu +3

Edge devices host domain-specific small language models (SLMs) with limited resources, while private clouds offer larger LLMs. We propose G-Boost, an adaptive edge-cloud framework…

cs.DB2024

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…

cs.CL2024★ 4 cited

FIT-RAG: Black-Box RAG with Factual Information and Token Reduction

Yuren Mao, Xuemei Dong, Wenyi Xu +3

Due to the extraordinarily large number of parameters, fine-tuning Large Language Models (LLMs) to update long-tail or out-of-date knowledge is impractical in lots of applications.…

cs.DB2024★ 1 cited

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…