Xiangyu Zhang

E367296

Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.

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All labels observed (1)

Label Occurrences
Xiangyu Zhang canonical 4

Statements (40)

Predicate Object
instanceOf computer vision researcher
deep learning researcher
person
countryOfCitizenship China
fieldOfWork computer vision
deep learning
machine learning
hasAffiliation Chinese Academy of Sciences
MEGVII (Face++)
Microsoft Research Asia
hasRole author of scientific papers
research scientist
influencedBy deep residual networks
knownFor ResNeXt
surface form: ResNeXt architecture

ShuffleNetV2
surface form: ShuffleNet architecture

convolutional neural network architectures
deep residual networks research
efficient CNN architectures
large-scale visual recognition
language Chinese
English
notableConcept aggregated residual transformations
channel shuffle operation
notableWork ResNet
surface form: Deep Residual Learning for Image Recognition (co-author)

ResNeXt
surface form: ResNeXt: Aggregated Residual Transformations for Deep Neural Networks

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
publicationVenue IEEE Computer Society Conference on Computer Vision and Pattern Recognition
surface form: CVPR

European Conference on Computer Vision
surface form: ECCV

IEEE International Conference on Computer Vision
surface form: ICCV

ICLR
ICML
NeurIPS
researchInterest convolutional neural networks
efficient neural networks
large-scale image recognition
mobile vision models
network architecture design
worksOn image classification
object detection
visual recognition at scale

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.

ResNet developedBy Xiangyu Zhang
Kaiming He coAuthor Xiangyu Zhang
Shaoqing Ren hasCoauthor Xiangyu Zhang
Jian Sun coAuthorWith Xiangyu Zhang