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researcher

Yihong Wu

67 papers hereh-index 415.6k citations116 works total

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

author position
  • sole author1
  • first author10
  • middle author20
  • last author36

Across the 67 of 67 papers where every author was matched, so the position is known.

fields
  • math.ST37
  • cs.IT14
  • stat.ML9
  • cs.DS3
  • math.PR2
  • cs.DM1
same name
  • Yihong Wu — 36 papers, h 38
  • Yihong Wu — 11 papers, h 3
  • Yihong Wu — 9 papers, h 25
  • Yihong Wu — 6 papers, h 5
  • Yihong Wu — 4 papers, h 4
  • Yihong Wu — 4 papers, h 2

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
20102026
most citedSparse PCA: Optimal rates and adaptive estimation

307 citations · 907 across the 65 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

stat.ML2014★ 24 cited

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming

Bruce Hajek, Yihong Wu, Jiaming Xu

The binary symmetric stochastic block model deals with a random graph of n vertices partitioned into two equal-sized clusters, such that each pair of vertices is connected indepe…

cs.IT2014★ 17 cited

Minimax rates of entropy estimation on large alphabets via best polynomial approximation

Yihong Wu, Pengkun Yang

Consider the problem of estimating the Shannon entropy of a distribution over k elements from n independent samples. We show that the minimax mean-square error is within univer…

math.ST2014★ 30 cited

Computational Lower Bounds for Community Detection on Random Graphs

Bruce Hajek, Yihong Wu, Jiaming Xu

This paper studies the problem of detecting the presence of a small dense community planted in a large Erdős-Rényi random graph G(N,q), where the edge probability withi…

cs.IT2014★ 2 cited

Dissipation of information in channels with input constraints

Yury Polyanskiy, Yihong Wu

One of the basic tenets in information theory, the data processing inequality states that output divergence does not exceed the input divergence for any channel. For channels witho…

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