Shuyang Cheng

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it
• Artificial Intelligence — 45 citations into it
• Model Architectures — 18 citations into it
• Efficiency & Compression — 10 citations into it
• Optimization & Training — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Shuyang Cheng trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Quoc V. Le
5. Karen Simonyan
6. Yoshua Bengio
7. Barret Zoph
8. Sepp Hochreiter
9. Ronald J. Williams
10. Diederik P. Kingma

Papers from Shuyang Cheng's perspective

Ordered by how strongly the researchers Shuyang Cheng 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS (2020) — 131 citations
• Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset (2021) — 896 citations