Guang Yang

Artificial Intelligence · with Lin · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it

Whom Guang Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ian J. Goodfellow
2. Jose H. Blanchet
3. J. Urgen Schmidhuber
4. Dimitris Tsipras
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Anit Kumar Sahu
8. Yann LeCun
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Guang Yang overall

1. Marvin Zhang
2. Mang Ye

Papers from Guang Yang's perspective

Ordered by how strongly the researchers Guang Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GloVe: Global Vectors for Word Representation
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Collaborative Learning Framework via Federated Meta-Learning (2020) — 95 citations