Sihang Guo

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Artificial Intelligence — 36 citations into it
• Reinforcement Learning — 27 citations into it
• Human-Computer Interaction — 21 citations into it
• Control and Systems Engineering — 12 citations into it

Whom Sihang Guo trusts overall

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

1. Ruohan Zhang
2. Yann LeCun
3. Geoffrey E. Hinton
4. W. B. Knox
5. Yoshua Bengio
6. Richard S. Sutton
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Andrew Y. Ng
10. Kaiming He

Papers from Sihang Guo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Et al
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Human-level control through deep reinforcement learning

Their papers

• Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation (2020) — 56 citations
• Human Gaze Assisted Artificial Intelligence: A Review (2020) — 82 citations