Zhenyi Tang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 12 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Zhenyi Tang trusts overall

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

1. Ian J. Goodfellow
2. E. Todorov
3. Volodymyr Mnih
4. Jun Morimoto
5. Geoffrey E. Hinton
6. Jernej Kos
7. Hado van Hasselt
8. Richard S. Sutton
9. Sergey Levine
10. Alex Krizhevsky

Papers from Zhenyi Tang's perspective

Ordered by how strongly the researchers Zhenyi Tang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Asynchronous Methods for Deep Reinforcement Learning
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Human-level control through deep reinforcement learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Robust Deep Reinforcement Learning with Adversarial Attacks (2017) — 366 citations