Yonghao Song
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Natural Language Processing — 24 citations into it
- Cognitive Neuroscience — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Experimental and Cognitive Psychology — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Yonghao Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wei-Long Zheng
- Geoffrey E. Hinton
- William B. Claster
- Diederik P. Kingma
- L. V. D. van der Maaten
- Yoshua Bengio
- Ashish Vaswani
- Kaiming He
- Abhijit Bhattacharyya
- Alex Krizhevsky
Papers from Yonghao Song's perspective
Ordered by how strongly the researchers Yonghao Song 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)