6 papers · 1 filter
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search
Zekai Wu, Jiabao Jin, Peng Cheng +7
As the state-of-the-art methods for high-dimensional data retrieval, Approximate Nearest Neighbor Search (ANNS) approaches with graph-based indexes have attracted increasing attent…
RAC: Relation-Aware Cache Replacement for Large Language Models
Yuchong Wu, Zihuan Xu, Wangze Ni +5
The scaling of Large Language Model (LLM) services faces significant cost and latency challenges, making effective caching under tight capacity crucial. Existing cache replacement…
Infinite Stream Estimation under Personalized -Event Privacy
Leilei Du, Peng Cheng, Lei Chen +3
Streaming data collection is indispensable for stream data analysis, such as event monitoring. However, publishing these data directly leads to privacy leaks. -event privacy is…
Efficient Multiple Temporal Network Kernel Density Estimation
Yu Shao, Peng Cheng, Xiang Lian +5
Kernel density estimation (KDE) has become a popular method for visual analysis in various fields, such as financial risk forecasting, crime clustering, and traffic monitoring. KDE…
Numerical Estimation of Spatial Distributions under Differential Privacy
Leilei Du, Peng Cheng, Libin Zheng +4
Estimating spatial distributions is important in data analysis, such as traffic flow forecasting and epidemic prevention. To achieve accurate spatial distribution estimation, the a…
StructRide: A Framework to Exploit the Structure Information of Shareability Graph in Ridesharing
Jiexi Zhan, Yu Chen, Peng Cheng +3
Ridesharing services play an essential role in modern transportation, which significantly reduces traffic congestion and exhaust pollution. In the ridesharing problem, improving th…