2 citations · 2 across the 7 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…
Efficient Privacy-Preserving Range Filtered Approximate Nearest Neighbor Search
Haoyu Wang, Yandi Zhang, Jiadong Xie +4
Range-filtered approximate nearest neighbor search (RFANNS) is an important primitive for vector databases; it retrieves vectors that are similar to a query and satisfy a numerical…
Bala-Join: An Adaptive Hash Join for Balancing Communication and Computation in Geo-Distributed SQL Databases
Wenlong Song, Hui Li, Bingying Zhai +5
Shared-nothing geo-distributed SQL databases, such as CockroachDB, are increasingly vital for enterprise applications requiring data resilience and locality. However, we encountere…
RISK: Efficiently processing rich spatial-keyword queries on encrypted geo-textual data
Zhen Lv, Cong Cao, Hongwei Huo +4
Symmetric searchable encryption (SSE) for geo-textual data has attracted significant attention. However, existing schemes rely on task-specific, incompatible indices for isolated s…
Fast Tuning the Index Construction Parameters of Proximity Graphs in Vector Databases
Wenyang Zhou, Jiadong Xie, Yingfan Liu +6
k-approximate nearest neighbor search (k-ANNS) in high-dimensional vector spaces is a fundamental problem across many fields. With the advent of vector databases and retrieval-augm…
RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection
Rongcheng Wu, Hao Zhu, Shiying Zhang +9
Unsupervised industrial anomaly detection requires accurately identifying defects without labeled data. Traditional autoencoder-based methods often struggle with incomplete anomaly…
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…
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching
Meng Wang, Jintao Yang, Bin Yang +4
Patch-wise Transformer based time series forecasting achieves superior accuracy. However, this superiority relies heavily on intricate model design with massive parameters, renderi…
SLSM : An Efficient Strategy for Lazy Schema Migration on Shared-Nothing Databases
Zhilin Zeng, Hui Li, Xiyue Gao +3
By introducing intermediate states for metadata changes and ensuring that at most two versions of metadata exist in the cluster at the same time, shared-nothing databases are capab…