index.xml

<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Home on Vector Database Group @ NTU</title><link>https://VectorDB-NTU.github.io/</link><description>Recent content in Home on Vector Database Group @ NTU</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 06 Mar 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://VectorDB-NTU.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>IVF-RaBitQ (GPU) has been made public on arXiv</title><link>https://VectorDB-NTU.github.io/news/ivf-rabitq-gpu/</link><pubDate>Thu, 06 Mar 2025 00:00:00 +0000</pubDate><guid>https://VectorDB-NTU.github.io/news/ivf-rabitq-gpu/</guid><description>&lt;p>We are pleased to announce that our paper “&lt;a href="https://arxiv.org/abs/2602.23999">GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search&lt;/a>” is now publicly available on arXiv!&lt;/p></description></item><item><title>ExRaBitQ has been accepted by SIGMOD' 25</title><link>https://VectorDB-NTU.github.io/news/exrabitq/</link><pubDate>Mon, 09 Dec 2024 00:00:00 +0000</pubDate><guid>https://VectorDB-NTU.github.io/news/exrabitq/</guid><description>&lt;p>Congratulations to Jianyang Gao for publishing the paper “&lt;a href="https://arxiv.org/abs/2409.09913">Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search&lt;/a>” at SIGMOD 2025!&lt;/p></description></item><item><title>SymphonyQG has been accepted by SIGMOD' 25</title><link>https://VectorDB-NTU.github.io/news/symqg/</link><pubDate>Mon, 09 Dec 2024 00:00:00 +0000</pubDate><guid>https://VectorDB-NTU.github.io/news/symqg/</guid><description>&lt;p>Congratulations to Yutong Gou , Jianyang Gao and Yuexuan Xu for publishing the paper “&lt;a href="https://arxiv.org/abs/2411.12229">SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search
&lt;/a>” at SIGMOD 2025!&lt;/p></description></item><item><title>Our research has generated impacts in various ways!</title><link>https://VectorDB-NTU.github.io/impacts/irange/</link><pubDate>Sat, 28 Sep 2024 00:00:00 +0000</pubDate><guid>https://VectorDB-NTU.github.io/impacts/irange/</guid><description>&lt;p>This page is to be updated soon.&lt;/p></description></item><item><title>iRangeGraph has been accepted by SIGMOD' 25</title><link>https://VectorDB-NTU.github.io/news/irange/</link><pubDate>Fri, 27 Sep 2024 00:00:00 +0000</pubDate><guid>https://VectorDB-NTU.github.io/news/irange/</guid><description>&lt;p>Congratulations to Yuexuan Xu, Jianyang Gao, and Yutong Gou for publishing the paper “&lt;a href="https://arxiv.org/abs/2409.02571">iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search&lt;/a>” at SIGMOD 2025!&lt;/p></description></item><item><title>RaBitQ has been accepted by SIGMOD' 24</title><link>https://VectorDB-NTU.github.io/news/rabitq/</link><pubDate>Tue, 27 Feb 2024 00:00:00 +0000</pubDate><guid>https://VectorDB-NTU.github.io/news/rabitq/</guid><description>&lt;p>Congratulations to Jianyang Gao for publishing the paper “&lt;a href="https://arxiv.org/abs/2405.12497">RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search&lt;/a>” at SIGMOD 2024!&lt;/p></description></item><item><title>ADSampling has been accepted by SIGMOD' 23</title><link>https://VectorDB-NTU.github.io/news/adsampling/</link><pubDate>Mon, 27 Feb 2023 00:00:00 +0000</pubDate><guid>https://VectorDB-NTU.github.io/news/adsampling/</guid><description>&lt;p>Congratulations to Jianyang Gao for publishing the paper “&lt;a href="https://arxiv.org/abs/2405.12497">RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search&lt;/a>” at SIGMOD 2023!&lt;/p></description></item></channel></rss>