6 citations · 14 across the 10 of their papers we have counts for
5 papers · 1 filter
RaBitQ-SSD: Split Codes and Pipelined I/O for SSD-Resident Vector Search
Yuexuan Xu, Jianyang Gao, Michael Norris +5
SSD-resident approximate nearest-neighbor search is essential when vector collections exceed DRAM capacity. The challenge is to reduce SSD reads and hide I/O latency through concur…
LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention
Ziqi Yin, Jianyang Gao, Peiqi Yin +2
Indexer-TopK, which computes scores and selects the top- candidates, is a key primitive in long-context sparse attention for large language models and vector retrieval for recom…
Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments
Jianyang Gao, Yutong Gou, Yuexuan Xu +5
This technical note revisits the relationship between RaBitQ and TurboQuant under a unified comparison framework. We compare the two methods in terms of methodology, theoretical gu…
GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search
Jifan Shi, Jianyang Gao, James Xia +2
Approximate nearest neighbor search (ANNS) on GPUs is gaining increasing popularity for modern retrieval and recommendation workloads that operate over massive high-dimensional vec…
mHC-lite: You Don't Need 20 Sinkhorn-Knopp Iterations
Yongyi Yang, Jianyang Gao
Hyper-Connections (HC) generalizes residual connections by introducing dynamic residual matrices that mix information across multiple residual streams, accelerating convergence in…