Zhu Han

Artificial Intelligence · with Du · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 7 citations into it
• Building and Construction — 6 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Zhu Han trusts overall

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

1. Diederik P. Kingma
2. Sebastian Ruder
3. David Silver
4. Kaiming He

Papers from Zhu Han's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Human-level control through deep reinforcement learning
3. ImageNet classification with deep convolutional neural networks
4. Reinforcement Learning: An Introduction
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Their papers

• A Deep Reinforcement Learning Network for Traffic Light Cycle Control (2018) — 507 citations