Haichen Shen

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 128 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Haichen Shen trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Haichen Shen overall

  1. Zhihao Bai
  2. Young Geun Kim
  3. Hong Zhang
  4. Xukan Ran
  5. Jiasi Chen
  6. Ganesh Ananthanarayanan
  7. Ji Lin
  8. Carole-Jean Wu
  9. Biyi Fang
  10. Huynh Nguyen Loc

Papers from Haichen Shen's perspective

Ordered by how strongly the researchers Haichen Shen 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: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers