Hong Yang

Artificial Intelligence · with Gao · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Graph Learning — 8 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Hong Yang trusts overall

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

1. Diederik P. Kingma
2. Barret Zoph
3. Yoshua Bengio
4. Quoc V. Le
5. Geoffrey E. Hinton
6. Xavier Glorot
7. Alex Krizhevsky
8. Jimmy Ba
9. Karen Simonyan
10. Thomas Kipf

Who trusts Hong Yang overall

1. Yaoman Li
2. Yuhui Ding
3. Yi-Wei Chen
4. Jiaxuan You
5. Martin Wistuba
6. Qingquan Song
7. Kaixiong Zhou

Papers from Hong Yang's perspective

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

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

Their papers

• GraphNAS: Graph Neural Architecture Search with Reinforcement Learning (2019) — 121 citations