1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.DB2025
SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation
Hui Li, Shiyuan Deng, Xiao Yan +2
Approximate Nearest Neighbor Search (ANNS) plays a critical role in applications such as search engines, recommender systems, and RAG for LLMs. Vector quantization (VQ), a crucial…
cs.DB2025★ 1 cited
Gorgeous: Revisiting the Data Layout for Disk-Resident High-Dimensional Vector Search
Peiqi Yin, Xiao Yan, Qihui Zhou +6
Similarity-based vector search underpins many important applications, but a key challenge is processing massive vector datasets (e.g., in TBs). To reduce costs, some systems utiliz…
cs.DC2025
Towards Efficient and Scalable Distributed Vector Search with RDMA
Xiangyu Zhi, Meng Chen, Xiao Yan +5
Similarity-based vector search facilitates many important applications such as search and recommendation but is limited by the memory capacity and bandwidth of a single machine due…