Ying-Fan Wang
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it
- Representation & Self-Supervised Learning — 23 citations into it
- Artificial Intelligence — 16 citations into it
Whom Ying-Fan Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. V. D. van der Maaten
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sam T. Roweis
- George C. Linderman
- Yann LeCun
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Jimmy Ba
Papers from Ying-Fan Wang's perspective
Ordered by how strongly the researchers Ying-Fan Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge