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20212026
most citedStoring Multi-model Data in RDBMSs based on Reinforcement Learning

5 citations · 9 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

VL-Dedup: Graded Multimodal Entity Resolution for Image-Text Data Deduplication

Zhenxi Liu, Guanze Chen, Dehui Yu +6

Image-text corpora contain copies of one image, captions that describe one image in different ways, captions reused for different images, and captions that do not match their image…

cs.CL2025

Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation

Qingsong Wang, Tao Wu, Wang Lin +4

Large Language Models (LLMs) have demonstrated strong performance in open-ended generation tasks. However, they often struggle to adapt content to users with differing cognitive ca…

cs.DB2025

BPI: A Novel Efficient and Reliable Search Structure for Hybrid Storage Blockchain

Xinkui Zhao, Rengrong Xiong, Guanjie Cheng +7

Hybrid storage solutions have emerged as potent strategies to alleviate the data storage bottlenecks prevalent in blockchain systems. These solutions harness off-chain Storage Serv…

cs.DB2025

DBMS-LLM Integration Strategies in Industrial and Business Applications: Current Status and Future Challenges

Zhengtong Yan, Gongsheng Yuan, Qingsong Guo +1

Modern enterprises are increasingly driven by the DATA+AI paradigm, in which Database Management Systems (DBMSs) and Large Language Models (LLMs) have become two foundational infra…

cs.DB2024★ 2 cited

Quantum Computing for Databases: Overview and Challenges

Gongsheng Yuan, Yuxing Chen, Jiaheng Lu +4

In the decades, the general field of quantum computing has experienced remarkable progress since its inception. A plethora of researchers not only proposed quantum algorithms showi…

cs.DB2021★ 5 cited

Storing Multi-model Data in RDBMSs based on Reinforcement Learning

Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang +1

How to manage various data in a unified way is a significant research topic in the field of databases. To address this problem, researchers have proposed multi-model databases to s…

cs.DB2021★ 1 cited

MORTAL: A Tool of Automatically Designing Relational Storage Schemas for Multi-model Data through Reinforcement Learning

Gongsheng Yuan, Jiaheng Lu

Considering relational databases having powerful capabilities in handling security, user authentication, query optimization, etc., several commercial and academic frameworks reuse…

cs.DB2021★ 1 cited

Quantum-Inspired Keyword Search on Multi-Model Databases

Gongsheng Yuan, Jiaheng Lu, Peifeng Su

With the rising applications implemented in different domains, it is inevitable to require databases to adopt corresponding appropriate data models to store and exchange data deriv…