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20212026
most citedStarling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment

62 citations · 82 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DB2026

Common-Neighbor-Count-Based Representative Possible World Finding on Uncertain Graphs

Chengjie Gu, Xiaoliang Xu, Yuxiang Wang +5

A representative possible world (RPW) is a deterministic graph derived from an uncertain graph where a designated structural feature closely approximates its expected…

cs.DB2026

Directory-Aware Query and Maintenance in Vector Databases

Mengzhao Wang, Zheng Gong, Jingpei Hu +4

Vector databases typically manage metadata as flat scalar attributes, which limits their ability to express hierarchical directory semantics commonly used to organize code reposito…

cs.DB2025

Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search

Mengzhao Wang, Boyu Tan, Yunjun Gao +5

Hybrid search, the integration of lexical and semantic retrieval, has become a cornerstone of modern information retrieval systems, driven by demanding applications like Retrieval-…

cs.DB2025★ 1 cited

Accelerating Graph Indexing for ANNS on Modern CPUs

Mengzhao Wang, Haotian Wu, Xiangyu Ke +3

In high-dimensional vector spaces, Approximate Nearest Neighbor Search (ANNS) is a key component in database and artificial intelligence infrastructures. Graph-based methods, parti…

cs.DB2024★ 2 cited

An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models

Mengzhao Wang, Haotian Wu, Xiangyu Ke +3

Retrieval-augmented Large Language Models (LLMs) have reshaped traditional query-answering systems, offering unparalleled user experiences. However, existing retrieval techniques o…

cs.DB2024★ 62 cited

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment

Mengzhao Wang, Weizhi Xu, Xiaomeng Yi +7

High-dimensional vector similarity search (HVSS) is gaining prominence as a powerful tool for various data science and AI applications. As vector data scales up, in-memory indexes…

cs.DB2023★ 2 cited

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality

Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu +4

We investigate the problem of multimodal search of target modality, where the task involves enhancing a query in a specific target modality by integrating information from auxiliar…

cs.DB2022★ 5 cited

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints

Mengzhao Wang, Lingwei Lv, Xiaoliang Xu +3

As research interest surges, vector similarity search is applied in multiple fields, including data mining, computer vision, and information retrieval. {Given a set of objects (e.g…

cs.IR2021★ 10 cited

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

Mengzhao Wang, Xiaoliang Xu, Qiang Yue +1

Approximate nearest neighbor search (ANNS) constitutes an important operation in a multitude of applications, including recommendation systems, information retrieval, and pattern r…