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researcher

Z. Wang

31 papers hereh-index 5010.4k citations629 works total

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

author position
  • sole author2
  • first author7
  • middle author18
  • last author2

Across the 29 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG6
  • cs.SD4
  • eess.IV3
  • cond-mat.mes-hall2
  • cs.HC2
same name
  • Z. Wang — 328 papers
  • Z. Wang — 289 papers, h 50
  • Z. Wang — 241 papers
  • Z. Wang — 200 papers
  • Z. Wang — 193 papers, h 9
  • Z. Wang — 180 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
20182023
most citedCyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation

21 citations · 91 across the 20 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2023★ 1 cited

MC-SpEx: Towards Effective Speaker Extraction with Multi-Scale Interfusion and Conditional Speaker Modulation

Jun Chen, Wei Rao, Zilin Wang +5

The previous SpEx+ has yielded outstanding performance in speaker extraction and attracted much attention. However, it still encounters inadequate utilization of multi-scale inform…

cs.SD2023

Inter-SubNet: Speech Enhancement with Subband Interaction

Jun Chen, Wei Rao, Zilin Wang +5

Subband-based approaches process subbands in parallel through the model with shared parameters to learn the commonality of local spectrums for noise reduction. In this way, they ha…

cs.SD2022

Speech Enhancement with Fullband-Subband Cross-Attention Network

Jun Chen, Wei Rao, Zilin Wang +5

FullSubNet has shown its promising performance on speech enhancement by utilizing both fullband and subband information. However, the relationship between fullband and subband in F…

cs.SD2022

FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement

Jun Chen, Zilin Wang, Deyi Tuo +3

Previously proposed FullSubNet has achieved outstanding performance in Deep Noise Suppression (DNS) Challenge and attracted much attention. However, it still encounters issues such…

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