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Yu Wang

7 papers hereh-index 8274 citations13 works total

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

author position
  • first author2
  • middle author5

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

fields
  • cs.CV5
  • cs.LG2
same name
  • Yu Wang — 105 papers, h 77
  • Yu Wang — 29 papers, h 12
  • Yu Wang — 28 papers, h 11
  • Yu Wang — 27 papers, h 15
  • Yu Wang — 26 papers, h 10
  • Yu Wang — 23 papers, h 9

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 citedJoint Contrastive Learning with Infinite Possibilities

11 citations · 21 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021★ 3 cited

Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration

Yu Wang, Jingyang Lin, Jingjing Zou +3

Our work reveals a structured shortcoming of the existing mainstream self-supervised learning methods. Whereas self-supervised learning frameworks usually take the prevailing perfe…

cs.CV2021★ 2 cited

A Style and Semantic Memory Mechanism for Domain Generalization

Yang Chen, Yu Wang, Yingwei Pan +3

Mainstream state-of-the-art domain generalization algorithms tend to prioritize the assumption on semantic invariance across domains. Meanwhile, the inherent intra-domain style inv…

cs.CV2021

Transferrable Contrastive Learning for Visual Domain Adaptation

Yang Chen, Yingwei Pan, Yu Wang +3

Self-supervised learning (SSL) has recently become the favorite among feature learning methodologies. It is therefore appealing for domain adaptation approaches to consider incorpo…

cs.CV2021★ 1 cited

A Low Rank Promoting Prior for Unsupervised Contrastive Learning

Yu Wang, Jingyang Lin, Qi Cai +4

Unsupervised learning is just at a tipping point where it could really take off. Among these approaches, contrastive learning has seen tremendous progress and led to state-of-the-a…

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