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Alireza Heidari

6 papers hereh-index 29 citations6 works total

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

author position
  • first author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.IR1
  • cs.LG1
same name
  • Alireza Heidari — 4 papers, h 5
  • Alireza Heidari — 1 paper, h 23
  • Alireza Heidari — 1 paper, h 0

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

most citedDobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees

3 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2025

Filter-Centric Vector Indexing: Geometric Transformation for Efficient Filtered Vector Search

Alireza Heidari, Wei Zhang

The explosive growth of vector search applications demands efficient handling of combined vector similarity and attribute filtering; a challenge where current approaches force an u…

cs.DB2025★ 3 cited

DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees

Alireza Heidari, Amirhossein Ahmadi, Wei Zhang

In this paper, we introduce DobLIX, a dual-objective learned index specifically designed for Log-Structured Merge(LSM) tree-based key-value stores. Although traditional learned ind…

cs.DB2024

UpLIF: An Updatable Self-Tuning Learned Index Framework

Alireza Heidari, Amirhossein Ahmadi, Wei Zhang

The emergence of learned indexes has caused a paradigm shift in our perception of indexing by considering indexes as predictive models that estimate keys' positions within a data s…

cs.DB2024

MetaHive: A Cache-Optimized Metadata Management for Heterogeneous Key-Value Stores

Alireza Heidari, Amirhossein Ahmadi, Zefeng Zhi +1

Cloud key-value (KV) stores provide businesses with a cost-effective and adaptive alternative to traditional on-premise data management solutions. KV stores frequently consist of h…

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