From the 1 of 7 linked papers with an AI index.
7 papers
LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention
Ziqi Yin, Jianyang Gao, Peiqi Yin +2
The paper introduces LiteTopK, a fused GPU kernel that combines indexing and top‑k selection for sparse attention by exploiting the concentration of distances in high‑dimensional s…
Efficient Graph Indexing for Interval-Aware Vector Search
Siyuan Liang, Ziqi Yin, Qi Zhang +5
Interval-aware Approximate Nearest Neighbor (ANN) search arises in applications where each object is associated with a numeric value or interval, and queries must satisfy both vect…
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector
Ziqi Yin, Gao Cong, Kai Zeng +2
Although Approximate Nearest Neighbor (ANN) search has been extensively studied, large-k ANN queries that aim to retrieve a large number of nearest neighbors remain underexplored,…
RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search
Zhiqiu Zou, Ziqi Yin, Rong-Hua Li +3
Range-filtered approximate nearest neighbor (RFANN) search is a fundamental operation in modern data systems. Given a set of objects, each with a vector and a numerical attribute,…
δ-EMG: A Monotonic Graph Index for Approximate Nearest Neighbor Search
Liming Xiang, Jing Feng, Ziqi Yin +5
Approximate nearest neighbor (ANN) search in high-dimensional spaces is a foundational component of many modern retrieval and recommendation systems. Currently, almost all algorith…
DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
Ziqi Yin, Jianyang Gao, Pasquale Balsebre +2
Bimodal data, such as image-text pairs, has become increasingly prevalent in the digital era. The Hybrid Vector Query (HVQ) is an effective approach for querying such data and has…