39 citations · 60 across the 7 of their papers we have counts for
7 papers
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index
Yang Song, Yu Gu, Rui Zhang +1
Due to the wide applications in recommendation systems, multi-class label prediction and deep learning, the Maximum Inner Product (MIP) search problem has received extensive attent…
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances
Yang Song, Yu Gu, Rui Zhang +1
Bregman distances (also known as Bregman divergences) are widely used in machine learning, speech recognition and signal processing, and kNN searches with Bregman distances have be…
Collecting and Analyzing Multidimensional Data with Local Differential Privacy
Ning Wang, Xiaokui Xiao, Yin Yang +5
Local differential privacy (LDP) is a recently proposed privacy standard for collecting and analyzing data, which has been used, e.g., in the Chrome browser, iOS and macOS. In LDP,…
Probery: A Probability-based Incomplete Query Optimization for Big Data
Jie Song, Yichuan Zhang, Yubin Bao +1
Nowadays, query optimization has been highly concerned in big data management, especially in NoSQL databases. Approximate queries boost query performance by loss of accuracy, for e…
Clustering Stream Data by Exploring the Evolution of Density Mountain
Shufeng Gong, Yanfeng Zhang, Ge Yu
Stream clustering is a fundamental problem in many streaming data analysis applications. Comparing to classical batch-mode clustering, there are two key challenges in stream cluste…
INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System
Chuanwen Li, Yu Gu, Jianzhong Qi +3
We revisit the moving k nearest neighbor (MkNN) query, which computes one's k nearest neighbor set and maintains it while at move. Existing MkNN algorithms are mostly safe region b…