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Yang Wang

22 papers here

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

author position
  • middle author18
  • last author1

Across the 19 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.LG4
  • cs.IR3
same name
  • Yang Wang — 45 papers, h 102
  • Yang Wang — 15 papers
  • Yang Wang — 11 papers, h 13
  • Yang Wang — 9 papers, h 14
  • Yang Wang — 8 papers
  • Yang Wang — 8 papers

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
20192022
most citedDelving Globally into Texture and Structure for Image Inpainting

26 citations · 67 across the 14 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2020★ 3 cited

Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning

Ximing Li, Yang Wang

Partial Multi-label Learning (PML) aims to induce the multi-label predictor from datasets with noisy supervision, where each training instance is associated with several candidate…

cs.LG2020★ 7 cited

SimpleMKKM: Simple Multiple Kernel K-means

Xinwang Liu, En Zhu, Jiyuan Liu +3

We propose a simple yet effective multiple kernel clustering algorithm, termed simple multiple kernel k-means (SimpleMKKM). It extends the widely used supervised kernel alignment c…

cs.LG2019★ 1 cited

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space

Jiahuan Ren, Zhao Zhang, Sheng Li +4

In this paper, we investigate the robust dictionary learning (DL) to discover the hybrid salient low-rank and sparse representation in a factorized compressed space. A Joint Robust…

cs.LG2019

Kernelized Multiview Subspace Analysis by Self-weighted Learning

Huibing Wang, Yang Wang, Zhao Zhang +4

With the popularity of multimedia technology, information is always represented or transmitted from multiple views. Most of the existing algorithms are graph-based ones to learn th…

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