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Yazhou Ren

7 papers hereh-index 11441 citations44 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • eess.IV2
  • cs.AI1
same name
  • Yazhou Ren — 26 papers, h 30
  • Yazhou Ren — 3 papers, 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

most citedDual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering

7 citations · 11 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory

Jianchao Wang, Qingfeng Li, Pengcheng Zheng +2

Training deep neural networks on real-world datasets is often hampered by the presence of noisy labels, which can be memorized by over-parameterized models, leading to significant…

cs.LG2024★ 7 cited

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering

Zichen Wen, Tianyi Wu, Yazhou Ren +4

Multi-view clustering is an important machine learning task for multi-media data, encompassing various domains such as images, videos, and texts. Moreover, with the growing abundan…

cs.LG2024★ 2 cited

S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering

Zhen Long, Qiyuan Wang, Yazhou Ren +2

Anchor-based large-scale multi-view clustering has attracted considerable attention for its effectiveness in handling massive datasets. However, current methods mainly seek the con…

cs.LG2024

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

Zichen Wen, Yawen Ling, Yazhou Ren +5

Recently there is a growing focus on graph data, and multi-view graph clustering has become a popular area of research interest. Most of the existing methods are only applicable to…

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