2 citations · 3 across the 8 of their papers we have counts for
6 papers · 1 filter
Personalized w-Event Privacy for Infinite Stream Estimation
Leilei Du, Xu Zhou, Peng Cheng +4
In applications such as event monitoring, log analysis, and video querying, -event privacy protects individual data within a sliding time window while supporting accurate stream…
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…
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…
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…
Wait to be Faster: a Smart Pooling Framework for Dynamic Ridesharing
Xiaoyao Zhong, Jiabao Jin, Peng Cheng +4
Ridesharing services, such as Uber or Didi, have attracted considerable attention in recent years due to their positive impact on environmental protection and the economy. Existing…