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researcher

Jun Luo

4 papers hereh-index 8335 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DB4
same name
  • Jun Luo — 23 papers, h 21
  • Jun Luo — 16 papers, h 6
  • Jun Luo — 16 papers, h 6
  • Jun Luo — 15 papers, h 30
  • Jun Luo — 14 papers, h 52
  • Jun Luo — 11 papers, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142019
most citedEclipse: Generalizing kNN and Skyline

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DB2019★ 1 cited

Eclipse: Generalizing kNN and Skyline

Jinfei Liu, Li Xiong, Qiuchen Zhang +2

k nearest neighbor (kNN) queries and skyline queries are important operators on multi-dimensional data points. Given a query point, kNN query returns the k nearest neighbor…

cs.DB2018

Skyline Diagram: Efficient Space Partitioning for Skyline Queries

Jinfei Liu, Juncheng Yang, Li Xiong +5

Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set…

cs.DB2017

Eclipse: Practicability Beyond kNN and Skyline

Jinfei Liu, Li Xiong, Qiuchen Zhang +2

The k nearest neighbor (kNN) query is a fundamental problem in databases. Given a set of multidimensional data points and a query point, kNN returns the k nearest neighbors…

cs.DB2014

Speed Partitioning for Indexing Moving Objects

Xiaofeng Xu, Li Xiong, Vaidy Sunderam +2

Indexing moving objects has been extensively studied in the past decades. Moving objects, such as vehicles and mobile device users, usually exhibit some patterns on their velocitie…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.