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Yingzhen Yang

24 papers hereh-index 13984 citations75 works total

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

author position
  • first author11
  • middle author8
  • last author3

Across the 22 of 24 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • cs.CV6
  • math.OC2
  • stat.ML2
  • cs.IR1
  • eess.IV1
same name
  • Yingzhen Yang — 13 papers, h 7
  • Yingzhen Yang — 4 papers, h 3
  • Yingzhen Yang — 2 papers, h 2
  • Yingzhen Yang — 1 paper, h 2
  • Yingzhen Yang — 1 paper

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
20122024
most citedLearning Super-Resolution Jointly from External and Internal Examples

77 citations · 168 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

stat.ML2022

Noisy ℓ0-Sparse Subspace Clustering on Dimensionality Reduced Data

Yingzhen Yang, Ping Li

Sparse subspace clustering methods with sparsity induced by ℓ0-norm, such as ℓ0-Sparse Subspace Clustering (ℓ0-SSC)~\citep{YangFJYH16-L0SSC-ijcv}, are demon…

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…

cs.IR2022★ 3 cited

Benchmark of DNN Model Search at Deployment Time

Lixi Zhou, Arindam Jain, Zijie Wang +3

Deep learning has become the most popular direction in machine learning and artificial intelligence. However, the preparation of training data, as well as model training, are often…

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…

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