Ling Luo
Artificial Intelligence · with Wang · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #32,071 of 35,345 by trust here, #27,551 by citations
- Molecular Biology — 9 citations into it; #14,734 of 17,773 by trust here, #15,203 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Ling Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Tomas Mikolov
- Thomas G. Dietterich
- L. Eon Bottou
- Alex Krizhevsky
- Ilya Sutskever
- Hugo Larochelle
- Yann LeCun
- Diederik P. Kingma
Who trusts Ling Luo overall
Papers from Ling Luo's perspective
Ordered by how strongly the researchers Ling Luo 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge