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researcher

Yang Zhao

University at Buffalo

18 papers hereh-index 201.9k citations89 works total

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

author position
  • first author11
  • middle author7

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG5
  • cs.CL3
  • eess.SP2
  • stat.ML2
affiliations
  • University at Buffalo
HomepageORCID 0000-0003-2925-0137
same name
  • Yang Zhao — 35 papers, h 32
  • Yang Zhao — 35 papers, h 14
  • Yang Zhao — 32 papers, h 50
  • Yang Zhao — 30 papers
  • Yang Zhao — 17 papers, h 14
  • Yang Zhao — 14 papers, h 13

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 citedA Comprehensive Survey of 6G Wireless Communications

28 citations · 108 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020

Role Taxonomy of Units in Deep Neural Networks

Yang Zhao, Hao Zhang, Xiuyuan Hu

Identifying the role of network units in deep neural networks (DNNs) is critical in many aspects including giving understandings on the mechanisms of DNNs and building basic connec…

eess.SP2020★ 19 cited

A Survey of 6G Wireless Communications: Emerging Technologies

Yang Zhao, Jun Zhao, Wenchao Zhai +3

While fifth-generation (5G) communications are being rolled out around the world, sixth-generation (6G) communications have attracted much attention from both the industry and acad…

cs.LG2020★ 28 cited

Feature Quantization Improves GAN Training

Yang Zhao, Chunyuan Li, Ping Yu +2

The instability in GAN training has been a long-standing problem despite remarkable research efforts. We identify that instability issues stem from difficulties of performing featu…

cs.CV2020

Dual-discriminator GAN: A GAN way of profile face recognition

Xinyu Zhang, Yang Zhao, Hao Zhang

A wealth of angle problems occur when facial recognition is performed: At present, the feature extraction network presents eigenvectors with large differences between the frontal f…

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