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Sen Wang

13 papers hereh-index 14747 citations23 works total

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

author position
  • middle author10
  • last author2

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.LG3
  • cs.IR1
same name
  • Sen Wang — 31 papers, h 25
  • Sen Wang — 20 papers, h 31
  • Sen Wang — 15 papers, h 21
  • Sen Wang — 12 papers, h 6
  • Sen Wang — 8 papers, h 4
  • Sen Wang — 6 papers, h 5

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
20202023
most citedCausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation

35 citations · 93 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 14 cited

Improved Feature Distillation via Projector Ensemble

Yudong Chen, Sen Wang, Jiajun Liu +3

In knowledge distillation, previous feature distillation methods mainly focus on the design of loss functions and the selection of the distilled layers, while the effect of the fea…

cs.CV2022★ 2 cited

Federated Zero-Shot Learning for Visual Recognition

Zhi Chen, Yadan Luo, Sen Wang +2

Zero-shot learning is a learning regime that recognizes unseen classes by generalizing the visual-semantic relationship learned from the seen classes. To obtain an effective ZSL mo…

cs.LG2022

Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation

Zixin Wang, Yadan Luo, Peng-Fei Zhang +2

A typical multi-source domain adaptation (MSDA) approach aims to transfer knowledge learned from a set of labeled source domains, to an unlabeled target domain. Nevertheless, prior…

cs.CV2022★ 2 cited

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning

Zhi Chen, Yadan Luo, Sen Wang +2

Generalized Zero-Shot Learning (GZSL) aims to recognize images from both the seen and unseen classes by transferring semantic knowledge from seen to unseen classes. It is a promisi…

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