Yan Yang

Computer Vision and Pattern Recognition · with Ding · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Yang trusts overall

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

  1. Wenhan Yang
  2. Zhou Wang
  3. Chen Wei
  4. Wenjing Wang
  5. Chulwoo Lee
  6. Jiaying Liu
  7. Kin Gwn Lore
  8. Kede Ma
  9. Jianrui Cai
  10. Yonghua Zhang

Papers from Yan Yang's perspective

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

Their papers