Huiyuan Yang

Computer Vision and Pattern Recognition · 2016–2018

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 Huiyuan Yang trusts overall

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

  1. Jon Gauthier
  2. Lijun Yin
  3. Xiangxin Zhu
  4. Alec Radford
  5. Vicki Bruce
  6. Mengyi Liu
  7. Alexander Kläser
  8. Hui Ding
  9. Phillip Isola
  10. Guoying Zhao

Who trusts Huiyuan Yang overall

  1. Da-Wei Zhou
  2. Jing Li
  3. Junjie Zhu
  4. Han-Jia Ye
  5. Kan Jin
  6. Bingjun Luo
  7. Shan Li

Papers from Huiyuan Yang's perspective

Ordered by how strongly the researchers Huiyuan Yang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. GENERATIVE ADVERSARIAL NETS
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers