23 citations · 33 across the 9 of their papers we have counts for
9 papers
FROG: Efficient Range-Filtering Approximate Nearest Neighbor Search on GPUs
Xiaokun Cui, Pengbo Liu, Jiadong Xie +4
Range-filtering approximate nearest neighbor search (RFANNS) is a fundamental operation in modern vector databases. Given a query vector and a numerical range predicate, RFANNS…
SIREN: Unified Multi-Granularity Semantic Interaction for Multi-Modal Lifelong User Interest Modeling
Yaqian Zhang, Ruyi Yu, Tianyi Li +13
Industrial recommender systems increasingly leverage lifelong user behavior histories and rich multi-modal content to capture evolving user preferences. However, effectively integr…
Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data
Yingfan Liu, Yandi Zhang, Jiadong Xie +3
In the era of cloud computing and AI, data owners outsource ubiquitous vectors to the cloud, which furnish approximate -nearest neighbors (-ANNS) services to users. To protec…
One Size Cannot Fit All: a Self-Adaptive Dispatcher for Skewed Hash Join in Shared-nothing RDBMSs
Jinxin Yang, Hui Li, Yiming Si +6
Shared-nothing architecture has been widely adopted in various commercial distributed RDBMSs. Thanks to the architecture, query can be processed in parallel and accelerated by scal…
Towards Selecting the Informative Alternative Relational Query Plans for Database Education
Hu Wang, Hui Li, Sourav S Bhowmick +1
Off-the-shelf RDBMS typically expose only the query execution plan (QEP) of an SQL query, without presenting information about representative alternative query plans (AQPs) conside…
Enhanced countering adversarial attacks via input denoising and feature restoring
Yanni Li, Wenhui Zhang, Jiawei Liu +3
Despite the fact that deep neural networks (DNNs) have achieved prominent performance in various applications, it is well known that DNNs are vulnerable to adversarial examples/sam…