Zihan Zhou

Artificial Intelligence · with Zhang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Reinforcement Learning — 29 citations into it

Whom Zihan Zhou trusts overall

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

1. Sainbayar Sukhbaatar
2. Geoffrey E. Hinton
3. Sergey Levine
4. David Silver
5. Richard S. Sutton
6. Yoshua Bengio
7. Volodymyr Mnih
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Liviu Panait

Who trusts Zihan Zhou overall

1. Sven Gronauer

Papers from Zihan Zhou's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning (2020) — 96 citations
• CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario (2019) — 372 citations