4 papers
Sig2Model: A Boosting-Driven Model for Updatable Learned Indexes
Alireza Heidari, Amirhossein Ahmad, Wei Zhang +1
Learned Indexes (LIs) represent a paradigm shift from traditional index structures by employing machine learning models to approximate the cumulative distribution function (CDF) of…
FusedANN: Convexified Hybrid ANN via Attribute-Vector Fusion
Alireza Heidari, Wei Zhang, Ying Xiong
Vector search powers transformers technology, but real-world use demands hybrid queries that combine vector similarity with attribute filters (e.g., "top document in category X, fr…
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…
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…