Yihan Jiang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yihan Jiang trusts overall

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

  1. H. Brendan McMahan
  2. Jakub Konecný
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Sebastian Caldas
  6. Yoshua Bengio
  7. Chelsea Finn
  8. Daniel Ramage
  9. Alex Krizhevsky
  10. Keith Bonawitz

Who trusts Yihan Jiang overall

  1. Alireza Fallah
  2. Jaehoon Oh
  3. Viraj Kulkarni
  4. Qiong Wu
  5. Enmao Diao
  6. Qinbin Li
  7. Alysa Ziying Tan
  8. Hangyu Zhu
  9. Yishay Mansour
  10. Othmane Marfoq

Papers from Yihan Jiang's perspective

Ordered by how strongly the researchers Yihan Jiang 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers