Yunfeng Zhang

Artificial Intelligence · with Bellamy · 2018–2020

A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yunfeng Zhang trusts overall

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

  1. Radford M. Neal
  2. Scott M. Lundberg
  3. Geoffrey E. Hinton
  4. Finale Doshi-Velez
  5. Diederik P. Kingma
  6. Zoubin Ghahramani
  7. David John Cameron MacKay
  8. Alex Krizhevsky
  9. Been Kim
  10. Yoshua Bengio

Who trusts Yunfeng Zhang overall

  1. Q. Liao
  2. Xinru Wang
  3. Vivian Lai
  4. Michelle Vaccaro
  5. Saleh Afroogh
  6. Ming Yin
  7. Gagan Bansal
  8. Atoosa Kasirzadeh
  9. Chacha Chen
  10. Upol Ehsan

Papers from Yunfeng Zhang's perspective

Ordered by how strongly the researchers Yunfeng Zhang 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers