Gao Cong

DUSTER: A Deduplication Framework for Efficient Point Cloud Storage and Retrieval

The rise of embodied AI, exemplified by autonomous driving, has led to a rapid surge in the volume of point cloud (PC) data, highlighting the need for a dedicated storage and …

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Jiangneng Li

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention

Indexer-TopK, the operation to compute the scores and select the top-k candidates, is widely used by sparse attention kernels in large language models and vector retrieval in …

ziqi-yin

BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing

Space-filling curves (SFC, for short) have been widely applied to index multi-dimensional data, which first maps the data to one dimension, and then a one-dimensional indexing …

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Jiangneng Li

MAST: Towards Efficient Analytical Query Processing on Point Cloud Data

The proliferation of 3D scanning technology, particularly within autonomous driving, has led to an exponential increase in the volume of Point Cloud (PC) data. Given the rich …

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Jiangneng Li

Towards Designing and Learning Piecewise Space-Filling Curves

To index multi-dimensional data, space-filling curves (SFCs) have been used to map the data to one dimension, and then a one-dimensional indexing method such as the B-tree is used …

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Jiangneng Li

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

Cardinality estimation (CardEst) plays a significant role in generating high-quality query plans for a query optimizer in DBMS. In the last decade, an increasing number of advanced …

yuxing-han