Fangwei Zhong

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Fangwei Zhong trusts overall

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

  1. Geoffrey E. Hinton
  2. He He
  3. Diederik P. Kingma
  4. John Schulman
  5. Yoshua Bengio
  6. Chris J. Maddison
  7. Eric Jang
  8. Rob Fergus
  9. Alex Krizhevsky
  10. Ashish Vaswani

Who trusts Fangwei Zhong overall

  1. Sergey I. Nikolenko
  2. Lachlan Nicholson

Papers from Fangwei Zhong's perspective

Ordered by how strongly the researchers Fangwei Zhong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers