Qing Yan
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 203 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #12,429 of 21,575 by trust here, #19,766 by citations
- Generative Models — 51 citations into it; #1,144 of 1,956 by trust here, #1,875 by citations
- Artificial Intelligence — 31 citations into it; #24,585 of 35,345 by trust here, #32,362 by citations
- Probabilistic & Bayesian Methods — 19 citations into it
- Signal Processing — 11 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
Whom Qing Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Max Welling
- Karen Simonyan
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Ian J. Goodfellow
Who trusts Qing Yan overall
Papers from Qing Yan's perspective
Ordered by how strongly the researchers Qing Yan 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge