Feiyang Chen

Artificial Intelligence · 2021

A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Feiyang Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Ryuichi Yamamoto
  4. Aäron van den Oord
  5. Kaiming He
  6. Yoshua Bengio
  7. Yi Ren
  8. Jaehyeon Kim
  9. Alex Krizhevsky
  10. Pascal Vincent

Who trusts Feiyang Chen overall

  1. Rongjie Huang
  2. Zhou Zhao
  3. Yi Ren
  4. Jinglin Liu
  5. Dongchao Yang
  6. Huadai Liu
  7. Chenye Cui

Papers from Feiyang Chen's perspective

Ordered by how strongly the researchers Feiyang Chen 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers