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Yancheng Wang

19 papers hereh-index 10603 citations28 works total

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

author position
  • first author9
  • middle author8

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG4
  • cs.AI1
  • cs.CL1
  • cs.DB1
  • cs.IR1
same name
  • Yancheng Wang — 25 papers, h 14
  • Yancheng Wang — 8 papers, h 38
  • Yancheng Wang — 2 papers, h 9
  • Yancheng Wang — 2 papers, h 3
  • Yancheng Wang — 2 papers, h 5
  • Yancheng Wang — 2 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
20202026
most citedRNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation

6 citations · 31 across the 19 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 5 cited

FEC: Fast Euclidean Clustering for Point Cloud Segmentation

Yu Cao, Yancheng Wang, Yifei Xue +2

Segmentation from point cloud data is essential in many applications such as remote sensing, mobile robots, or autonomous cars. However, the point clouds captured by the 3D range s…

cs.LG2022★ 3 cited

Bayesian Robust Graph Contrastive Learning

Yancheng Wang, Yingzhen Yang

Graph Neural Networks (GNNs) have been widely used to learn node representations and with outstanding performance on various tasks such as node classification. However, noise, whic…

eess.IV2022

Adaptive Cross-Layer Attention for Image Restoration

Yancheng Wang, Ning Xu, Yingzhen Yang

Non-local attention module has been proven to be crucial for image restoration. Conventional non-local attention processes features of each layer separately, so it risks missing co…

cs.LG2022★ 3 cited

Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning

Kaize Ding, Yancheng Wang, Yingzhen Yang +1

Graph Contrastive Learning (GCL) has recently drawn much research interest for learning generalizable node representations in a self-supervised manner. In general, the contrastive…

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