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Yang Cong

18 papers hereh-index 314.1k citations108 works total

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

author position
  • middle author18

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG5
  • cs.CR1
  • cs.RO1
same name
  • Yang Cong — 7 papers, h 5
  • Yang Cong — 6 papers, h 3
  • Yang Cong — 5 papers, h 2
  • Yang Cong — 4 papers, h 5
  • Yang Cong — 1 paper
  • Yang Cong — 1 paper, 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
20192023
most citedWhat Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

21 citations · 68 across the 17 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019

Lifelong Spectral Clustering

Gan Sun, Yang Cong, Qianqian Wang +2

In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a f…

cs.LG2019

Visual Tactile Fusion Object Clustering

Tao Zhang, Yang Cong, Gan Sun +2

Object clustering, aiming at grouping similar objects into one cluster with an unsupervised strategy, has been extensivelystudied among various data-driven applications. However, m…

cs.CV2019★ 9 cited

Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation

Jiahua Dong, Yang Cong, Gan Sun +1

Weakly-supervised learning under image-level labels supervision has been widely applied to semantic segmentation of medical lesions regions. However, 1) most existing models rely o…

cs.LG2019★ 6 cited

Representative Task Self-selection for Flexible Clustered Lifelong Learning

Gan Sun, Yang Cong, Qianqian Wang +2

Consider the lifelong machine learning paradigm whose objective is to learn a sequence of tasks depending on previous experiences, e.g., knowledge library or deep network weights.…

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