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researcher

Kun Chen

4 papers hereh-index 129 citations7 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.IT1
  • cs.LG1
  • math.ST1
  • stat.ML1
same name
  • Kun Chen — 23 papers, h 14
  • Kun Chen — 21 papers, h 19
  • Kun Chen — 9 papers, h 4
  • Kun Chen — 9 papers, h 2
  • Kun Chen — 9 papers, h 3
  • Kun Chen — 8 papers, h 6

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
20202026
most citedCommunication-Efficient Distributed SVD via Local Power Iterations

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

math.ST2026

Universality for Products of Random Matrices with i.i.d. Entries and the Fuss--Catalan Number

Yanjin Xiang, Kun Chen, Zhihua Zhang

Let \((w_{ij})_{i,j\ge1}\) be a single infinite array of independent identically distributed real- or complex-valued entries of mean zero, variance \(σ^2\), and finite fourth momen…

cs.IT2024

The Empirical Spectral Distribution of i.i.d. Random Matrices with Random Perturbations

Kun Chen, Zhihua Zhang

A large i.i.d. random matrix with deterministic low-rank perturbation has been extensively studied, particularly in the aspects of the ESD (Empirical Spectral Distribution) and the…

cs.LG2022

Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer

Kun Chen, Dachao Lin, Zhihua Zhang

In this paper, we follow Eftekhari's work to give a non-local convergence analysis of deep linear networks. Specifically, we consider optimizing deep linear networks which have a l…

stat.ML2020★ 6 cited

Communication-Efficient Distributed SVD via Local Power Iterations

Xiang Li, Shusen Wang, Kun Chen +1

We study distributed computing of the truncated singular value decomposition problem. We develop an algorithm that we call \texttt{LocalPower} for improving communication efficienc…

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