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researcher

Zhouchen Lin

133 papers hereh-index 8029.6k citations361 works total

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

author position
  • sole author1
  • first author3
  • middle author56
  • last author67

Across the 127 of 133 papers where every author was matched, so the position is known.

fields
  • cs.CV46
  • cs.LG39
  • math.OC16
  • math.NA9
  • stat.ML9
  • cs.NE5
same name
  • Zhouchen Lin — 22 papers, h 4
  • Zhouchen Lin — 15 papers, h 6
  • Zhouchen Lin — 10 papers, h 8
  • Zhouchen Lin — 9 papers, h 3
  • Zhouchen Lin — 8 papers, h 2
  • Zhouchen Lin — 5 papers, h 3

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 citedRobust Recovery of Subspace Structures by Low-Rank Representation

3.7k citations · 8k across the 129 of their papers we have counts for

collaborators
Showing 2015 · cs.CVShow all

4 papers · 2 filters

cs.CV2015★ 198 cited

Convex Sparse Spectral Clustering: Single-view to Multi-view

Canyi Lu, Shuicheng Yan, Zhouchen Lin

Spectral Clustering (SC) is one of the most widely used methods for data clustering. It first finds a low-dimensonal embedding U of data by computing the eigenvectors of the norm…

cs.CV2015★ 1 cited

Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion

Yuqing Hou, Zhouchen Lin

Tag-based image retrieval (TBIR) has drawn much attention in recent years due to the explosive amount of digital images and crowdsourcing tags. However, the TBIR applications still…

cs.CV2015★ 3 cited

Correntropy Induced L2 Graph for Robust Subspace Clustering

Canyi Lu, Jinhui Tang, Min Lin +3

In this paper, we study the robust subspace clustering problem, which aims to cluster the given possibly noisy data points into their underlying subspaces. A large pool of previous…

cs.CV2015★ 4 cited

Correlation Adaptive Subspace Segmentation by Trace Lasso

Canyi Lu, Jiashi Feng, Zhouchen Lin +1

This paper studies the subspace segmentation problem. Given a set of data points drawn from a union of subspaces, the goal is to partition them into their underlying subspaces they…

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