Yu Jiang

Artificial Intelligence · with Batra · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 200 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Jiang trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Ilya Sutskever
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Yu Jiang overall

  1. Amanpreet Singh
  2. Hao Hao Tan
  3. Da Ju
  4. Liunian Harold Li
  5. Zhengyuan Yang
  6. Soravit Changpinyo
  7. Dustin Schwenk
  8. Duy-Kien Nguyen
  9. Mohit Bansal
  10. Ning Xie

Papers from Yu Jiang's perspective

Ordered by how strongly the researchers Yu Jiang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers