Jiawei Huang

Reinforcement Learning · with Jiang · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 264 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jiawei Huang trusts overall

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

  1. Nan Jiang
  2. Lihong Li
  3. Richard S. Sutton
  4. Ofir Nachum
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Dimitri P. Bertsekas

Who trusts Jiawei Huang overall

  1. Sergey Levine
  2. Nan Jiang
  3. Ruosong Wang
  4. Ofir Nachum
  5. Shangtong Zhang
  6. Nathan Kallus
  7. Aviral Kumar
  8. Masatoshi Uehara
  9. George Tucker
  10. Cameron Voloshin

Papers from Jiawei Huang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers