23 citations · 27 across the 5 of their papers we have counts for
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cs.DB2026
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…
cs.DB2025★ 2 cited
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…
cs.DB2021★ 2 cited
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans
Weiguo Wang, Sourav S Bhowmick, Hui Li +3
The database systems course is offered as part of an undergraduate computer science degree program in many major universities. A key learning goal of learners taking such a course…