Hao Yuan

Artificial Intelligence · with Ji · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Yuan trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Federico Baldassarre
  7. Minh N. Vu
  8. Jacob Devlin
  9. Yann LeCun
  10. Matthew D. Zeiler

Who trusts Hao Yuan overall

  1. Waddah Saeed
  2. Shiwen Wu
  3. Siqi Miao
  4. Thomas Schnake
  5. Yaochen Xie
  6. Yingmin Wu
  7. Haiyang Yu
  8. Qiang Huang
  9. Christian Walter Peter Omlin
  10. Shuiwang Ji

Papers from Hao Yuan's perspective

Ordered by how strongly the researchers Hao Yuan 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers