Jiayun Wang
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 138 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it; #21,150 of 21,575 by trust here, #7,750 by citations
- Artificial Intelligence — 46 citations into it; #34,773 of 35,345 by trust here, #11,072 by citations
- Representation & Self-Supervised Learning — 19 citations into it
- Radiology, Nuclear Medicine and Imaging — 9 citations into it; #3,191 of 3,265 by trust here, #956 by citations
- Model Architectures — 8 citations into it
Whom Jiayun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Jimmy Ba
Who trusts Jiayun Wang overall
Papers from Jiayun Wang's perspective
Ordered by how strongly the researchers Jiayun Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge