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Quanming Yao

Assistant Professor, Tsinghua University

67 papers hereh-index 3810.1k citations125 works total

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

author position
  • first author13
  • middle author45
  • last author7

Across the 65 of 67 papers where every author was matched, so the position is known.

fields
  • cs.LG39
  • cs.AI7
  • cs.CV6
  • math.NA3
  • cs.CL2
  • cs.IR2
affiliations
  • Assistant Professor, Tsinghua University
Homepage
same name
  • Quanming Yao — 12 papers, h 4
  • Quanming Yao — 6 papers, h 3
  • Quanming Yao — 6 papers, h 3
  • Quanming Yao — 6 papers, h 4
  • Quanming Yao — 6 papers, h 9
  • Quanming Yao — 5 papers, h 3

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
20152023
most citedGeneralizing from a Few Examples: A Survey on Few-Shot Learning

791 citations · 2.5k across the 66 of their papers we have counts for

collaborators
Showing math.NAShow all

3 papers · 1 filter

math.NA2017★ 5 cited

Scalable Robust Matrix Factorization with Nonconvex Loss

Quanming Yao, James T. Kwok

Robust matrix factorization (RMF), which uses the ℓ1​-loss, often outperforms standard matrix factorization using the ℓ2​-loss, particularly when outliers are present. Th…

math.NA2017★ 4 cited

Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion

Quanming Yao, James T. Kwok

Matrix and tensor completion aim to recover a low-rank matrix / tensor from limited observations and have been commonly used in applications such as recommender systems and multi-r…

math.NA2015★ 16 cited

Fast Low-Rank Matrix Learning with Nonconvex Regularization

Quanming Yao, James T. Kwok, Wenliang Zhong

Low-rank modeling has a lot of important applications in machine learning, computer vision and social network analysis. While the matrix rank is often approximated by the convex nu…

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