Donghui Yan

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Donghui Yan trusts overall

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

  1. Jianbo Shi
  2. Christopher K. I. Williams
  3. Alex Smola
  4. Francis R. Bach
  5. Michael I. Jordan
  6. Shai Fine
  7. Petros Drineas
  8. Stella X. Yu
  9. Sanjoy Dasgupta
  10. John Hartigan

Who trusts Donghui Yan overall

  1. Xinlei Chen
  2. Deng Cai
  3. Zoltán Szabó
  4. Junyuan Xie
  5. Nicolas Tremblay
  6. Robin Genuer
  7. Mark Hamilton
  8. Peyman Milanfar
  9. Ross B. Girshick
  10. Gilles Puy

Papers from Donghui Yan's perspective

Ordered by how strongly the researchers Donghui Yan 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers