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researcher

Yi Yang

47 papers here

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

author position
  • first author3
  • middle author23
  • last author20

Across the 46 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CV36
  • cs.CL5
  • cs.LG2
  • cs.AI1
  • cs.HC1
  • cs.SD1
ORCID 0000-0002-0512-880X
same name
  • Yi Yang — 42 papers, h 52
  • Yi Yang — 38 papers, h 58
  • Yi Yang — 30 papers, h 25
  • Yi Yang — 28 papers, h 19
  • Yi Yang — 27 papers, h 13
  • Yi Yang — 25 papers, h 15

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
20142023
most citedPerson Re-identification: Past, Present and Future

1k citations · 1.8k across the 47 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016★ 2 cited

Few-Shot Object Recognition from Machine-Labeled Web Images

Zhongwen Xu, Linchao Zhu, Yi Yang

With the tremendous advances of Convolutional Neural Networks (ConvNets) on object recognition, we can now obtain reliable enough machine-labeled annotations easily by predictions…

cs.CV2016

Bidirectional Multirate Reconstruction for Temporal Modeling in Videos

Linchao Zhu, Zhongwen Xu, Yi Yang

Despite the recent success of neural networks in image feature learning, a major problem in the video domain is the lack of sufficient labeled data for learning to model temporal i…

cs.CV2016★ 1k cited

Person Re-identification: Past, Present and Future

Liang Zheng, Yi Yang, Alexander G. Hauptmann

Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance. It aims at spotting a person of interest in othe…

cs.CL2016★ 7 cited

S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking

Yi Yang, Ming-Wei Chang

Non-linear models recently receive a lot of attention as people are starting to discover the power of statistical and embedding features. However, tree-based models are seldom stud…

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