Mengyuan Yan

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 150 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Mengyuan Yan trusts overall

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

  1. Stéphane Ross
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Sergey Levine
  8. John Schulman
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Mengyuan Yan overall

  1. Charles Ruizhongtai Qi
  2. Angela Dai
  3. Carlos Esteves

Papers from Mengyuan Yan's perspective

Ordered by how strongly the researchers Mengyuan Yan 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers