Zhenyu Tan

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Reinforcement Learning — 24 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Biomedical Engineering — 16 citations into it

Whom Zhenyu Tan trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Avik De
4. Sergey Levine
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Jerome H. Friedman
8. Yoshua Bengio
9. Michael I. Jordan
10. Yann LeCun

Papers from Zhenyu Tan's perspective

Ordered by how strongly the researchers Zhenyu Tan 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. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Et al
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Reinforcement Learning: An Introduction

Their papers

• Learning to Walk in the Real World with Minimal Human Effort (2020) — 224 citations
• The Tree Ensemble Layer: Differentiability meets Conditional Computation (2020) — 97 citations