Sihang Dang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sihang Dang trusts overall

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

  1. Zhizhong Li
  2. Alexander Rainer Tassilo Gepperth
  3. Barbara Hammer
  4. Viktor Losing
  5. Thomas Mensink
  6. Sylvestre-Alvise Rebuffi
  7. Arslan Chaudhry
  8. Marko Ristin
  9. Sizhe Chen
  10. Ethan M. Rudd

Papers from Sihang Dang's perspective

Ordered by how strongly the researchers Sihang Dang 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. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers