Jie Hong

Artificial Intelligence · with Fang · 2021

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Reinforcement Learning — 8 citations into it

Whom Jie Hong trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Oriol Vinyals
9. Karen Simonyan
10. Jimmy Ba

Who trusts Jie Hong overall

1. Christian Simon
2. Piotr Koniusz

Papers from Jie Hong's perspective

Ordered by how strongly the researchers Jie Hong 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Reinforced Attention for Few-Shot Learning and Beyond (2021) — 54 citations