Yongan Zhang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Reinforcement Learning — 46 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Electrical and Electronic Engineering — 9 citations into it
• Efficiency & Compression — 8 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 8 citations into it
• Control and Systems Engineering — 7 citations into it

Whom Yongan Zhang trusts overall

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

1. Richard S. Sutton
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. J. Urgen Schmidhuber
7. Quoc V. Le
8. Diederik P. Kingma
9. Yann LeCun
10. Barret Zoph

Papers from Yongan Zhang's perspective

Ordered by how strongly the researchers Yongan Zhang 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search (2020) — 6 citations