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Julian Shun

6 papers hereh-index 580 citations11 works total

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

author position
  • middle author2
  • last author3

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.DS4
  • cs.DC2
same name
  • Julian Shun — 40 papers, h 34
  • Julian Shun — 9 papers, h 5
  • Julian Shun — 5 papers, h 2
  • Julian Shun — 1 paper

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

most citedPECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2024

Towards Scalable and Practical Batch-Dynamic Connectivity

Quinten De Man, Laxman Dhulipala, Adam Karczmarz +3

We study the problem of dynamically maintaining the connected components of an undirected graph subject to edge insertions and deletions. We give the first parallel algorithm for t…

cs.DS2024

Approximate Nearest Neighbor Search with Window Filters

Joshua Engels, Benjamin Landrum, Shangdi Yu +2

We define and investigate the problem of c-approximate window search: approximate nearest neighbor search where each point in the dataset has a numeric label, and the go…

cs.DS2023★ 1 cited

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search

Shangdi Yu, Joshua Engels, Yihao Huang +1

This paper studies density-based clustering of point sets. These methods use dense regions of points to detect clusters of arbitrary shapes. In particular, we study variants of den…

cs.DS2023

Practical Parallel Algorithms for Near-Optimal Densest Subgraphs on Massive Graphs

Pattara Sukprasert, Quanquan C. Liu, Laxman Dhulipala +1

The densest subgraph problem has received significant attention, both in theory and in practice, due to its applications in problems such as community detection, social network ana…

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