Dong Huang

Computer Vision and Pattern Recognition · with Torre · 2014–2021

A researcher in the Science corpus: 4 papers; trusts 179 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Huang trusts overall

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

  1. Minh Hoai Nguyen
  2. Olivier Chapelle
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Kaiming He
  8. Koby Crammer
  9. Yann LeCun
  10. Samy Bengio

Who trusts Dong Huang overall

  1. M. Tabellini
  2. Antonino Furnari
  3. Jing Zhang
  4. Fei Han
  5. Giovanni Maria Farinella
  6. Wanqing Li
  7. Daron Acemoglu
  8. Brian Reily
  9. Philip O. Ogunbona

Papers from Dong Huang's perspective

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

Their papers