Yufeng Lin

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Reinforcement Learning — 21 citations into it
• Optimization & Training — 6 citations into it
• Privacy & Security — 5 citations into it

Whom Yufeng Lin trusts overall

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

1. Matthew E. Taylor
2. Aviv Tamar

Papers from Yufeng Lin's perspective

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

1. Human-level control through deep reinforcement learning
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Federated Deep Reinforcement Learning (2019) — 106 citations
• Federated Reinforcement Learning (2019) — 84 citations