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Chenglizhao Chen

28 papers hereh-index 313k citations90 works total

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

author position
  • first author5
  • middle author19
  • last author1

Across the 25 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • cs.LG4
  • eess.IV1
same name
  • Chenglizhao Chen — 8 papers, h 5
  • Chenglizhao Chen — 2 papers, h 3
  • Chenglizhao Chen — 1 paper, h 4

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
20192026
most citedBoundary-Guided Camouflaged Object Detection

322 citations · 835 across the 28 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2022

Log-based Sparse Nonnegative Matrix Factorization for Data Representation

Chong Peng, Yiqun Zhang, Yongyong Chen +3

Nonnegative matrix factorization (NMF) has been widely studied in recent years due to its effectiveness in representing nonnegative data with parts-based representations. For NMF,…

cs.LG2020★ 3 cited

Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering

Chong Peng, Zhilu Zhang, Zhao Kang +2

In this paper, we propose a new Semi-Nonnegative Matrix Factorization method for 2-dimensional (2D) data, named TS-NMF. It overcomes the drawback of existing methods that seriously…

cs.LG2019★ 6 cited

Nonnegative Matrix Factorization with Local Similarity Learning

Chong Peng, Zhao Kang, Chenglizhao Chen +1

Existing nonnegative matrix factorization methods focus on learning global structure of the data to construct basis and coefficient matrices, which ignores the local structure that…

cs.LG2019★ 4 cited

RES-PCA: A Scalable Approach to Recovering Low-rank Matrices

Chong Peng, Chenglizhao Chen, Zhao Kang +2

Robust principal component analysis (RPCA) has drawn significant attentions due to its powerful capability in recovering low-rank matrices as well as successful appplications in va…

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