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Hui Li

7 papers hereh-index 330 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.AI1
  • cs.LG1
  • cs.SI1
same name
  • Hui Li — 164 papers, h 5
  • Hui Li — 94 papers, h 5
  • Hui Li — 84 papers, h 49
  • Hui Li — 68 papers, h 10
  • Hui Li — 34 papers
  • Hui Li — 18 papers, h 20

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedInfluence Maximization in Social Networks: A Survey

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2026

Efficient Privacy-Preserving Range Filtered Approximate Nearest Neighbor Search

Haoyu Wang, Yandi Zhang, Jiadong Xie +4

Range-filtered approximate nearest neighbor search (RFANNS) is an important primitive for vector databases; it retrieves vectors that are similar to a query and satisfy a numerical…

cs.DB2026

RISK: Efficiently processing rich spatial-keyword queries on encrypted geo-textual data

Zhen Lv, Cong Cao, Hongwei Huo +4

Symmetric searchable encryption (SSE) for geo-textual data has attracted significant attention. However, existing schemes rely on task-specific, incompatible indices for isolated s…

cs.DB2024

SLSM : An Efficient Strategy for Lazy Schema Migration on Shared-Nothing Databases

Zhilin Zeng, Hui Li, Xiyue Gao +3

By introducing intermediate states for metadata changes and ensuring that at most two versions of metadata exist in the cluster at the same time, shared-nothing databases are capab…

cs.DB2023

A Comprehensive Survey on Database Management System Fuzzing: Techniques, Taxonomy and Experimental Comparison

Xiyue Gao, Zhuang Liu, Jiangtao Cui +4

Database Management System (DBMS) fuzzing is an automated testing technique aimed at detecting errors and vulnerabilities in DBMSs by generating, mutating, and executing test cases…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.