Yong-Sheng Chen

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 504 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

Whom Yong-Sheng Chen trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Jia Deng
  9. Diederik P. Kingma
  10. X. Zhang

Who trusts Yong-Sheng Chen overall

  1. Haofei Xu
  2. Gangwei Xu
  3. Zhuoran Shen
  4. Yuchao Dai
  5. Waseem Rawat
  6. Saurabh Saxena
  7. Jamie Watson
  8. Yan Wang
  9. Lahav Lipson
  10. Xinjing Cheng

Papers from Yong-Sheng Chen's perspective

Ordered by how strongly the researchers Yong-Sheng Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers