16 citations · 36 across the 7 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.DS2019★ 5 cited
Theoretically-Efficient and Practical Parallel DBSCAN
Yiqiu Wang, Yan Gu, Julian Shun
The DBSCAN method for spatial clustering has received significant attention due to its applicability in a variety of data analysis tasks. There are fast sequential algorithms for D…
cs.LG2019★ 16 cited
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
Tharun Medini, Qixuan Huang, Yiqiu Wang +2
In the last decade, it has been shown that many hard AI tasks, especially in NLP, can be naturally modeled as extreme classification problems leading to improved precision. However…