◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Wenqi Zhu

4 papers hereh-index 457 citations6 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • math.NA1
same name
  • Wenqi Zhu — 10 papers, h 5
  • Wenqi Zhu — 8 papers, h 40
  • Wenqi Zhu — 3 papers, h 3
  • Wenqi Zhu — 2 papers, h 5
  • Wenqi Zhu — 1 paper, h 1
  • Wenqi Zhu — 1 paper, h 1

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 citedResidual Encoder-Decoder Network for Deep Subspace Clustering

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

math.NA2023★ 1 cited

Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi

Wenqi Zhu, Yuji Nakatsukasa

Vandermonde matrices are usually exponentially ill-conditioned and often result in unstable approximations. In this paper, we introduce and analyze the \textit{multivariate Vanderm…

cs.LG2019★ 3 cited

Residual Encoder-Decoder Network for Deep Subspace Clustering

Shuai Yang, Wenqi Zhu, Yuesheng Zhu

Subspace clustering aims to cluster unlabeled data that lies in a union of low-dimensional linear subspaces. Deep subspace clustering approaches based on auto-encoders have become…

cs.LG2019

Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization

Shuai Yang, Wenqi Zhu, Yuesheng Zhu

Subspace clustering (SC) refers to the problem of clustering high-dimensional data into a union of low-dimensional subspaces. Based on spectral clustering, state-of-the-art approac…

cs.LG2019

Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering

Wenqi Zhu, Yuesheng Zhu, Li Zhong +1

Sparse Subspace Clustering (SSC) is one of the most popular methods for clustering data points into their underlying subspaces. However, SSC may suffer from heavy computational bur…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.