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Y. Yang

4 papers hereh-index 11894 citations22 works total

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

author position
  • middle author4

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

fields
  • cs.SI3
  • cs.CR1
same name
  • Y. Yang — 873 papers
  • Y. Yang — 167 papers, h 51
  • Y. Yang — 114 papers
  • Y. Yang — 109 papers, h 68
  • Y. Yang — 106 papers, h 17
  • Y. Yang — 104 papers, h 34

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
20192021
most citedCollecting and Analyzing Multidimensional Data with Local Differential Privacy

39 citations · 88 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SI2021★ 23 cited

Effective and Scalable Clustering on Massive Attributed Graphs

Renchi Yang, Jieming Shi, Yin Yang +3

Given a graph G where each node is associated with a set of attributes, and a parameter k specifying the number of output clusters, k-attributed graph clustering (k-AGC) groups nod…

cs.SI2020★ 24 cited

PANE: scalable and effective attributed network embedding

Renchi Yang, Jieming Shi, Xiaokui Xiao +3

Given a graph G where each node is associated with a set of attributes, attributed network embedding (ANE) maps each node v in G to a compact vector Xv, which can be used in downst…

cs.SI2019★ 2 cited

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries

Sibo Wang, Renchi Yang, Runhui Wang +5

Given a graph G, a source node s and a target node t, the personalized PageRank (PPR) of t with respect to s is the probability that a random walk starting from s termi…

cs.CR2019★ 39 cited

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,…

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