Shiqi Yang

Artificial Intelligence · with Herranz · 2021

A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shiqi Yang trusts overall

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

  1. Kaiming He
  2. Kuniaki Saito
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Mingsheng Long
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Kate Saenko

Papers from Shiqi Yang's perspective

Ordered by how strongly the researchers Shiqi Yang 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers