Shuo Feng

Control and Systems Engineering · Nature · 2019–2023

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

Subfields

Whom Shuo Feng trusts overall

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

  1. Martin Treiber
  2. Arne Kesting
  3. John Schulman
  4. Richard S. Sutton
  5. Dirk Helbing
  6. Yoshua Bengio
  7. Volodymyr Mnih
  8. David Silver
  9. Geoffrey E. Hinton
  10. Eric Liang

Papers from Shuo Feng's perspective

Ordered by how strongly the researchers Shuo Feng 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. Attention is All you Need (Neural Information Processing Systems)
  7. Human-level control through deep reinforcement learning
  8. ImageNet: A large-scale hierarchical image database
  9. Reinforcement Learning: An Introduction
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers