13 papers · 1 filter
Time-Decayed Vector Search in the Rhythm of TANGO: Jointly Modeling Semantic Similarity and Temporal Freshness
Jiuqi Wei, Qiyao Luo, Quanqing Xu +2
Vector search typically measures relevance through semantic similarity under a fixed scoring function. However, in a growing range of applications, relevance may evolve over time,…
DocMaster: A Hierarchical Structure-Aware System for Document Analysis
Ziqi Chen, Yingli Zhou, Fangyuan Zhang +3
Leveraging large language models (LLMs) to analyze complex documents -- such as academic papers, technical manuals, and financial reports -- has emerged as a mainstream and critica…
Automating Database-Native Function Code Synthesis with LLMs
Wei Zhou, Xuanhe Zhou, Qikang He +4
Database systems incorporate an ever-growing number of functions in their kernels (a.k.a., database native functions) for scenarios like new application support and business migrat…
PDET-LSH: Scalable In-Memory Indexing for High-Dimensional Approximate Nearest Neighbor Search with Quality Guarantees
Jiuqi Wei, Xiaodong Lee, Botao Peng +3
Locality-sensitive hashing (LSH) is a well-known solution for approximate nearest neighbor (ANN) search with theoretical guarantees. Traditional LSH-based methods mainly focus on i…
TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search
Jiuqi Wei, Zhenyu Liao, Ruoyu Han +3
Approximate Nearest Neighbor Search (ANNS) in high-dimensional Euclidean spaces is a fundamental problem with broad applications. Subspace Collision is a newly proposed ANNS framew…
MCI-SQL: Text-to-SQL with Metadata-Complete Context and Intermediate Correction
Qin Wang, Youhuan Li, Suixi Lin +5
Text-to-SQL aims to translate natural language queries into SQL statements. Existing methods typically follow a pipeline of pre-processing, schema linking, candidate SQL generation…
The Virtuous Cycle: AI-Powered Vector Search and Vector Search-Augmented AI
Jiuqi Wei, Quanqing Xu, Chuanhui Yang
Modern AI and vector search are rapidly converging, forming a promising research frontier in intelligent information systems. On one hand, advances in AI have substantially improve…
A Tree-Structured Two-Phase Commit Framework for OceanBase: Optimizing Scalability and Consistency
Quanqing Xu, Chen Qian, Chuanhui Yang +4
Modern distributed databases face challenges in achieving transactional consistency across distributed partitions. Traditional two-phase commit (2PC) protocols incur high coordinat…
OceanBase Bacchus: a High-Performance and Scalable Cloud-Native Shared Storage Architecture for Multi-Cloud
Quanqing Xu, Mingqiang Zhuang, Chuanhui Yang +6
Although an increasing number of databases now embrace shared-storage architectures, current storage-disaggregated systems have yet to strike an optimal balance between cost and pe…
Building an OceanBase-based Distributed Nearly Real-time Analytical Processing Database System
Quanqing Xu, Chuanhui Yang, Ruijie Li +11
The growing demand for database systems capable of efficiently managing massive datasets while delivering real-time transaction processing and advanced analytical capabilities has…
A General Framework for Per-record Differential Privacy
Xinghe Chen, Dajun Sun, Quanqing Xu +1
Differential Privacy (DP) is a widely adopted standard for privacy-preserving data analysis, but it assumes a uniform privacy budget across all records, limiting its applicability…
A High-Throughput GPU Framework for Adaptive Lossless Compression of Floating-Point Data
Zheng Li, Weiyan Wang, Ruiyuan Li +5
The torrential influx of floating-point data from domains like IoT and HPC necessitates high-performance lossless compression to mitigate storage costs while preserving absolute da…
Rethinking LSM-tree based Key-Value Stores: A Survey
Yina Lv, Qiao Li, Quanqing Xu +4
LSM-tree is a widely adopted data structure in modern key-value store systems that optimizes write performance in write-heavy applications by using append writes to achieve sequent…