Yaofeng Desmond Zhong

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yaofeng Desmond Zhong trusts overall

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

  1. David Haussler
  2. Jonathan Baxter
  3. Romeo Ortega
  4. Diederik P. Kingma
  5. Sam Greydanus
  6. Jimmy Ba
  7. Manuel Watter
  8. A. J. van der Schaft
  9. Geoffrey E. Hinton
  10. Yann LeCun

Who trusts Yaofeng Desmond Zhong overall

  1. Christopher Rackauckas
  2. Jared D. Willard

Papers from Yaofeng Desmond Zhong's perspective

Ordered by how strongly the researchers Yaofeng Desmond Zhong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers