2 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Personalized Programming Guidance based on Deep Programming Learning Style Capturing
Yingfan Liu, Renyu Zhu, Ming Gao
With the rapid development of big data and AI technology, programming is in high demand and has become an essential skill for students. Meanwhile, researchers also focus on boostin…
One Size Cannot Fit All: a Self-Adaptive Dispatcher for Skewed Hash Join in Shared-nothing RDBMSs
Jinxin Yang, Hui Li, Yiming Si +6
Shared-nothing architecture has been widely adopted in various commercial distributed RDBMSs. Thanks to the architecture, query can be processed in parallel and accelerated by scal…
Revisiting -Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses
Liu Yingfan, Cheng Hong, Cui Jiangtao
The -nearest neighbor graph (KNNG) on high-dimensional data is a data structure widely used in many applications such as similarity search, dimension reduction and clustering. D…