2 citations · 2 across the 4 of their papers we have counts for
5 papers
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…
ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models
Jianxin Yan, Wangze Ni, Lei Chen +4
Semantic caching significantly reduces computational costs and improves efficiency by storing and reusing large language model (LLM) responses. However, existing systems rely prima…
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…