Shu Wang

Reinforcement Learning · with Gao · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shu Wang trusts

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

  1. Jitendra Malik (in Computer Vision and Pattern Recognition)
  2. Rob Fergus (in Computer Vision and Pattern Recognition)
  3. Alan L. Yuille (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Andrew Y. Ng (in Reinforcement Learning)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  10. Karen Simonyan (in Computer Vision and Pattern Recognition)

Who trusts Shu Wang

  1. Tushar Nagarajan (in Computer Vision and Pattern Recognition)
  2. Kristen Grauman (in Computer Vision and Pattern Recognition)

Papers from Shu Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Asynchronous Methods for Deep Reinforcement Learning
  4. Human-level control through deep reinforcement learning
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Proximal Policy Optimization Algorithms (arXiv.org)
  7. Mask R-CNN
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. MuJoCo: A physics engine for model-based control
  10. Gradient-based learning applied to document recognition

Their papers