Siheng Chen

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 7 papers; trusts 221 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Siheng Chen trusts overall

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

  1. E.J. Candes
  2. Geoffrey E. Hinton
  3. Aliaksei Sandryhaila
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Yoshua Bengio
  7. L. Eon Bottou
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Radford M. Neal

Who trusts Siheng Chen overall

  1. Antonio Ortega
  2. Aamir Anis
  3. Zonghan Wu
  4. Ke Cheng
  5. Pascal Frossard
  6. Akshay Gadde
  7. Phillip E. Pope
  8. Shirui Pan
  9. Yisheng Song
  10. Jelena Kovacevic

Papers from Siheng Chen's perspective

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

Their papers