Yingfan Huang

Computer Vision and Pattern Recognition · 2019

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 Yingfan Huang trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Ramin Mehran
  6. Anirudh Vemula
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Kyunghyun Cho
  10. Dzmitry Bahdanau

Who trusts Yingfan Huang overall

  1. Ye Yuan
  2. Cunjun Yu
  3. Nigamaa Nayakanti
  4. Tianpei Gu
  5. Xinshuo Weng

Papers from Yingfan Huang's perspective

Ordered by how strongly the researchers Yingfan Huang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers